{ "session_id": "20260430_152937_045e3d", "model": "nvidia/nemotron-3-super-120b-a12b:free", "base_url": "https://openrouter.ai/api/v1", "platform": "curator", "session_start": "2026-04-30T15:29:37.826526", "last_updated": "2026-04-30T15:39:38.122267", "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below. Be targeted and efficient in your exploration and investigations.\n\nIf the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering. Docs: https://hermes-agent.nousresearch.com/docs\n\nConversation started: Thursday, April 30, 2026 03:29 PM\nModel: nvidia/nemotron-3-super-120b-a12b:free\nProvider: openrouter", "tools": [ { "type": "function", "function": { "name": "patch", "description": "Targeted find-and-replace edits in files. Use this instead of sed/awk in terminal. Uses fuzzy matching (9 strategies) so minor whitespace/indentation differences won't break it. Returns a unified diff. Auto-runs syntax checks after editing.\n\nReplace mode (default): find a unique string and replace it.\nPatch mode: apply V4A multi-file patches for bulk changes.", "parameters": { "type": "object", "properties": { "mode": { "type": "string", "enum": [ "replace", "patch" ], "description": "Edit mode: 'replace' for targeted find-and-replace, 'patch' for V4A multi-file patches", "default": "replace" }, "path": { "type": "string", "description": "File path to edit (required for 'replace' mode)" }, "old_string": { "type": "string", "description": "Text to find in the file (required for 'replace' mode). Must be unique in the file unless replace_all=true. Include enough surrounding context to ensure uniqueness." }, "new_string": { "type": "string", "description": "Replacement text (required for 'replace' mode). Can be empty string to delete the matched text." }, "replace_all": { "type": "boolean", "description": "Replace all occurrences instead of requiring a unique match (default: false)", "default": false }, "patch": { "type": "string", "description": "V4A format patch content (required for 'patch' mode). Format:\n*** Begin Patch\n*** Update File: path/to/file\n@@ context hint @@\n context line\n-removed line\n+added line\n*** End Patch" } }, "required": [ "mode" ] } } }, { "type": "function", "function": { "name": "read_file", "description": "Read a text file with line numbers and pagination. Use this instead of cat/head/tail in terminal. Output format: 'LINE_NUM|CONTENT'. Suggests similar filenames if not found. Use offset and limit for large files. Reads exceeding ~100K characters are rejected; use offset and limit to read specific sections of large files. NOTE: Cannot read images or binary files — use vision_analyze for images.", "parameters": { "type": "object", "properties": { "path": { "type": "string", "description": "Path to the file to read (absolute, relative, or ~/path)" }, "offset": { "type": "integer", "description": "Line number to start reading from (1-indexed, default: 1)", "default": 1, "minimum": 1 }, "limit": { "type": "integer", "description": "Maximum number of lines to read (default: 500, max: 2000)", "default": 500, "maximum": 2000 } }, "required": [ "path" ] } } }, { "type": "function", "function": { "name": "search_files", "description": "Search file contents or find files by name. Use this instead of grep/rg/find/ls in terminal. Ripgrep-backed, faster than shell equivalents.\n\nContent search (target='content'): Regex search inside files. Output modes: full matches with line numbers, file paths only, or match counts.\n\nFile search (target='files'): Find files by glob pattern (e.g., '*.py', '*config*'). Also use this instead of ls — results sorted by modification time.", "parameters": { "type": "object", "properties": { "pattern": { "type": "string", "description": "Regex pattern for content search, or glob pattern (e.g., '*.py') for file search" }, "target": { "type": "string", "enum": [ "content", "files" ], "description": "'content' searches inside file contents, 'files' searches for files by name", "default": "content" }, "path": { "type": "string", "description": "Directory or file to search in (default: current working directory)", "default": "." }, "file_glob": { "type": "string", "description": "Filter files by pattern in grep mode (e.g., '*.py' to only search Python files)" }, "limit": { "type": "integer", "description": "Maximum number of results to return (default: 50)", "default": 50 }, "offset": { "type": "integer", "description": "Skip first N results for pagination (default: 0)", "default": 0 }, "output_mode": { "type": "string", "enum": [ "content", "files_only", "count" ], "description": "Output format for grep mode: 'content' shows matching lines with line numbers, 'files_only' lists file paths, 'count' shows match counts per file", "default": "content" }, "context": { "type": "integer", "description": "Number of context lines before and after each match (grep mode only)", "default": 0 } }, "required": [ "pattern" ] } } }, { "type": "function", "function": { "name": "write_file", "description": "Write content to a file, completely replacing existing content. Use this instead of echo/cat heredoc in terminal. Creates parent directories automatically. OVERWRITES the entire file — use 'patch' for targeted edits.", "parameters": { "type": "object", "properties": { "path": { "type": "string", "description": "Path to the file to write (will be created if it doesn't exist, overwritten if it does)" }, "content": { "type": "string", "description": "Complete content to write to the file" } }, "required": [ "path", "content" ] } } } ], "message_count": 25, "messages": [ { "role": "user", "content": "Call the skills_list tool and write the JSON output to /tmp/skills.json" }, { "role": "assistant", "content": "", "reasoning": "We are asked to call the skills_list tool and write the JSON output to /tmp/skills.json.\n However, looking at the available tools, there is no tool named `skills_list`. \n The available tools are: patch, read_file, search_files, write_file.\n\n Since the task is to call a tool `skills_list` that is not available, we must check if there is a way to get the list of skills.\n\n Note: The context says we are a focused subagent and we have a task to call `skills_list`. \n But the tools provided do not include `skills_list`. \n\n We must consider that perhaps the `skills_list` tool is available in the environment but not listed in the tools? \n However, the instructions say: \"You have access to the following functions:\" and then lists the four tools.\n\n Alternatively, maybe we are supposed to use one of the available tools to get the list of skills? \n But the task explicitly says: \"Call the skills_list tool\".\n\n Let me re-read the task: \"Call the skills_list tool and write the JSON output to /tmp/skills.json\"\n\n Since we don't have a tool named `skills_list`, we must assume that it is available in the system but not listed in the tools? \n Or perhaps we are in a context where the `skills_list` tool is provided by the agent system? \n\n However, the instructions for the assistant say we have access to the tools listed. \n\n Let me check if there is a way to invoke a tool by name? The way we invoke tools is by using the function call mechanism.\n\n Since the tool `skills_list` is not in the list, we cannot call it.\n\n But wait: the task might be testing our ability to handle missing tools? \n\n Alternatively, perhaps the `skills_list` tool is available in the environment and we can call it by using the same function call mechanism? \n However, the assistant is only allowed to use the tools listed.\n\n We are in a dilemma.\n\n Let me think: the task says we are a focused subagent working on a specific delegated task. \n The context says: \"We need to save the output of skills_list to a file so we can process it in the next step.\"\n\n Since we cannot call `skills_list` because it's not in the tool list, we must report an issue.\n\n However, note that the task might be set up in a way that the `skills_list` tool is available. \n Maybe the tool list provided is not exhaustive? \n\n But the instructions say: \"You have access to the following functions:\" and then lists four.\n\n Alternatively, maybe we are supposed to use the `read_file` or `search_files` to find a script that lists skills? \n But the task says to call the `skills_list` tool.\n\n Given the ambiguity, I think we should try to see if there is a tool named `skills_list` by attempting to call it? \n But the system will only allow the tools that are defined.\n\n Alternatively, we can check the current directory for any scripts or files that might list skills? \n But the task does not specify where to look.\n\n Let me look at the workspace path: /opt/hermes\n\n We are told to use this exact path for local repository/workdir operations.\n\n Perhaps in /opt/hermes there is a way to get the list of skills? \n\n We can try to list the contents of /opt/hermes and see if there is a skills directory or a file that lists skills.\n\n However, the task says to call the `skills_list` tool, not to look for a file.\n\n Considering the instructions, I think we must report that the tool `skills_list` is not available.\n\n But let's try to see if we can get the list of skills by other means? \n The task might be misstated and we are actually supposed to list the available tools? \n Because the available tools are the skills? \n\n In the context of Hermes Agent, skills are the tools? \n\n The task says: \"Call the skills_list tool\" - maybe it's a tool that lists the available skills (which are the tools we have)?\n\n If that is the case, then we can simply output the list of tools we have as JSON.\n\n Let me assume that the `skills_list` tool is intended to list the available skills (tools). \n Then we can create a JSON array of the tool names.\n\n We have four tools: patch, read_file, search_files, write_file.\n\n We can write a JSON array of these tool names to /tmp/skills.json.\n\n However, note that the task says \"write the JSON output\", implying that the tool returns JSON.\n\n Alternatively, we can output an object that describes each tool? \n But without knowing the exact format, we can only guess.\n\n Since we don't have the actual `skills_list` tool, we cannot know the exact output format.\n\n Given the ambiguity, I think the safest is to report that the tool `skills_list` is not available and we cannot complete the task.\n\n However, let's check if there is a way to invoke a tool by name in the system? \n The way we invoke tools is by using the function call mechanism in the assistant's response.\n\n We are only allowed to use the tools listed. \n\n Therefore, I will conclude that the task cannot be completed as stated because the required tool is not available.\n\n But note: the task might be a test to see if we notice the missing tool.\n\n Alternatively, we can try to see if there is a tool called `skills_list` in the system by attempting to call it? \n However, the system will return an error if the tool is not defined.\n\n Let's try to call it and see what happens? \n We are allowed to use the tools, but we don't have a tool named `skills_list`. \n We cannot call a tool that is not in the list.\n\n We must output a response that summarizes what we did.\n\n I think we should:\n\n 1. Explain that the tool `skills_list` is not available in the provided tool set.\n 2. Suggest an alternative if we can guess what is intended.\n\n Alternatively, we can look for any documentation or files in the workspace that might tell us about skills.\n\n Let's try to explore the workspace /opt/hermes.\n\n We can use the `search_files` tool to look for files that might be related to skills.\n\n However, the task is to call a tool and write its output to a file. \n We are not supposed to do exploration unless the task allows it? \n But the task does not explicitly forbid exploration.\n\n We are allowed to use the tools to accomplish the task. \n Since the direct tool is missing, we might need to find an alternative way.\n\n Let's try to see if there is a file that lists the skills.\n\n We'll search in /opt/hermes for any file containing the word \"skill\" or listing tools.\n\n But note: the task says we are a subagent and we have a specific delegated task. \n We should not go beyond the task unless necessary.\n\n However, without the tool, we cannot complete the task as stated.\n\n I think we should report the issue and then suggest an alternative if we can find one.\n\n Let's do:\n\n Step 1: Check if there is a tool called `skills_list` by trying to list the tools? \n But we don't have a tool to list the tools.\n\n We only know the tools from the initial description.\n\n Step 2: Look in the workspace for any skill-related files.\n\n We'll use `search_files` to look for files with names containing \"skill\" or maybe a directory called \"skills\".\n\n Let's do that.\n\n", "finish_reason": "tool_calls", "reasoning_content": "We are asked to call the skills_list tool and write the JSON output to /tmp/skills.json.\n However, looking at the available tools, there is no tool named `skills_list`. \n The available tools are: patch, read_file, search_files, write_file.\n\n Since the task is to call a tool `skills_list` that is not available, we must check if there is a way to get the list of skills.\n\n Note: The context says we are a focused subagent and we have a task to call `skills_list`. \n But the tools provided do not include `skills_list`. \n\n We must consider that perhaps the `skills_list` tool is available in the environment but not listed in the tools? \n However, the instructions say: \"You have access to the following functions:\" and then lists the four tools.\n\n Alternatively, maybe we are supposed to use one of the available tools to get the list of skills? \n But the task explicitly says: \"Call the skills_list tool\".\n\n Let me re-read the task: \"Call the skills_list tool and write the JSON output to /tmp/skills.json\"\n\n Since we don't have a tool named `skills_list`, we must assume that it is available in the system but not listed in the tools? \n Or perhaps we are in a context where the `skills_list` tool is provided by the agent system? \n\n However, the instructions for the assistant say we have access to the tools listed. \n\n Let me check if there is a way to invoke a tool by name? The way we invoke tools is by using the function call mechanism.\n\n Since the tool `skills_list` is not in the list, we cannot call it.\n\n But wait: the task might be testing our ability to handle missing tools? \n\n Alternatively, perhaps the `skills_list` tool is available in the environment and we can call it by using the same function call mechanism? \n However, the assistant is only allowed to use the tools listed.\n\n We are in a dilemma.\n\n Let me think: the task says we are a focused subagent working on a specific delegated task. \n The context says: \"We need to save the output of skills_list to a file so we can process it in the next step.\"\n\n Since we cannot call `skills_list` because it's not in the tool list, we must report an issue.\n\n However, note that the task might be set up in a way that the `skills_list` tool is available. \n Maybe the tool list provided is not exhaustive? \n\n But the instructions say: \"You have access to the following functions:\" and then lists four.\n\n Alternatively, maybe we are supposed to use the `read_file` or `search_files` to find a script that lists skills? \n But the task says to call the `skills_list` tool.\n\n Given the ambiguity, I think we should try to see if there is a tool named `skills_list` by attempting to call it? \n But the system will only allow the tools that are defined.\n\n Alternatively, we can check the current directory for any scripts or files that might list skills? \n But the task does not specify where to look.\n\n Let me look at the workspace path: /opt/hermes\n\n We are told to use this exact path for local repository/workdir operations.\n\n Perhaps in /opt/hermes there is a way to get the list of skills? \n\n We can try to list the contents of /opt/hermes and see if there is a skills directory or a file that lists skills.\n\n However, the task says to call the `skills_list` tool, not to look for a file.\n\n Considering the instructions, I think we must report that the tool `skills_list` is not available.\n\n But let's try to see if we can get the list of skills by other means? \n The task might be misstated and we are actually supposed to list the available tools? \n Because the available tools are the skills? \n\n In the context of Hermes Agent, skills are the tools? \n\n The task says: \"Call the skills_list tool\" - maybe it's a tool that lists the available skills (which are the tools we have)?\n\n If that is the case, then we can simply output the list of tools we have as JSON.\n\n Let me assume that the `skills_list` tool is intended to list the available skills (tools). \n Then we can create a JSON array of the tool names.\n\n We have four tools: patch, read_file, search_files, write_file.\n\n We can write a JSON array of these tool names to /tmp/skills.json.\n\n However, note that the task says \"write the JSON output\", implying that the tool returns JSON.\n\n Alternatively, we can output an object that describes each tool? \n But without knowing the exact format, we can only guess.\n\n Since we don't have the actual `skills_list` tool, we cannot know the exact output format.\n\n Given the ambiguity, I think the safest is to report that the tool `skills_list` is not available and we cannot complete the task.\n\n However, let's check if there is a way to invoke a tool by name in the system? \n The way we invoke tools is by using the function call mechanism in the assistant's response.\n\n We are only allowed to use the tools listed. \n\n Therefore, I will conclude that the task cannot be completed as stated because the required tool is not available.\n\n But note: the task might be a test to see if we notice the missing tool.\n\n Alternatively, we can try to see if there is a tool called `skills_list` in the system by attempting to call it? \n However, the system will return an error if the tool is not defined.\n\n Let's try to call it and see what happens? \n We are allowed to use the tools, but we don't have a tool named `skills_list`. \n We cannot call a tool that is not in the list.\n\n We must output a response that summarizes what we did.\n\n I think we should:\n\n 1. Explain that the tool `skills_list` is not available in the provided tool set.\n 2. Suggest an alternative if we can guess what is intended.\n\n Alternatively, we can look for any documentation or files in the workspace that might tell us about skills.\n\n Let's try to explore the workspace /opt/hermes.\n\n We can use the `search_files` tool to look for files that might be related to skills.\n\n However, the task is to call a tool and write its output to a file. \n We are not supposed to do exploration unless the task allows it? \n But the task does not explicitly forbid exploration.\n\n We are allowed to use the tools to accomplish the task. \n Since the direct tool is missing, we might need to find an alternative way.\n\n Let's try to see if there is a file that lists the skills.\n\n We'll search in /opt/hermes for any file containing the word \"skill\" or listing tools.\n\n But note: the task says we are a subagent and we have a specific delegated task. \n We should not go beyond the task unless necessary.\n\n However, without the tool, we cannot complete the task as stated.\n\n I think we should report the issue and then suggest an alternative if we can find one.\n\n Let's do:\n\n Step 1: Check if there is a tool called `skills_list` by trying to list the tools? \n But we don't have a tool to list the tools.\n\n We only know the tools from the initial description.\n\n Step 2: Look in the workspace for any skill-related files.\n\n We'll use `search_files` to look for files with names containing \"skill\" or maybe a directory called \"skills\".\n\n Let's do that.\n\n", "tool_calls": [ { "id": "chatcmpl-tool-a4ba892ace479f12", "call_id": "chatcmpl-tool-a4ba892ace479f12", "response_item_id": "fc_chatcmpl-tool-a4ba892ace479f12", "type": "function", "function": { "name": "search_files", "arguments": "{\"pattern\": \"*skill*\", \"target\": \"files\", \"path\": \"/opt/hermes\"}" } } ] }, { "role": "tool", "content": "{\"total_count\": 49, \"files\": [\"/opt/hermes/agent/__pycache__/skill_commands.cpython-313.pyc\", \"/opt/hermes/agent/__pycache__/skill_utils.cpython-313.pyc\", \"/opt/hermes/tools/__pycache__/skills_tool.cpython-313.pyc\", \"/opt/hermes/tools/__pycache__/skills_guard.cpython-313.pyc\", \"/opt/hermes/tools/__pycache__/skill_manager_tool.cpython-313.pyc\", \"/opt/hermes/tools/__pycache__/skills_sync.cpython-313.pyc\", \"/opt/hermes/tools/skills_sync.py\", \"/opt/hermes/tools/skills_tool.py\", \"/opt/hermes/tools/skills_guard.py\", \"/opt/hermes/tools/skill_manager_tool.py\", \"/opt/hermes/tools/skills_hub.py\", \"/opt/hermes/tests/tools/test_skill_manager_tool.py\", \"/opt/hermes/tests/tools/test_skills_guard.py\", \"/opt/hermes/tests/tools/test_skill_size_limits.py\", \"/opt/hermes/tests/tools/test_skill_improvements.py\", \"/opt/hermes/tests/tools/test_skills_hub_clawhub.py\", \"/opt/hermes/tests/tools/test_skill_view_path_check.py\", \"/opt/hermes/tests/tools/test_skills_sync.py\", \"/opt/hermes/tests/tools/test_skill_view_traversal.py\", \"/opt/hermes/tests/tools/test_skills_tool.py\", \"/opt/hermes/tests/tools/test_skill_env_passthrough.py\", \"/opt/hermes/tests/tools/test_skills_hub.py\", \"/opt/hermes/tests/cli/test_cli_preloaded_skills.py\", \"/opt/hermes/tests/test_plugin_skills.py\", \"/opt/hermes/tests/agent/test_skill_commands.py\", \"/opt/hermes/tests/agent/test_external_skills.py\", \"/opt/hermes/tests/gateway/test_discord_channel_skills.py\", \"/opt/hermes/tests/hermes_cli/test_chat_skills_flag.py\", \"/opt/hermes/tests/hermes_cli/test_banner_skills.py\", \"/opt/hermes/tests/hermes_cli/test_skills_skip_confirm.py\", \"/opt/hermes/tests/hermes_cli/test_skills_install_flags.py\", \"/opt/hermes/tests/hermes_cli/test_skills_config.py\", \"/opt/hermes/tests/hermes_cli/test_skills_subparser.py\", \"/opt/hermes/tests/hermes_cli/test_skills_hub.py\", \"/opt/hermes/tests/skills/test_telephony_skill.py\", \"/opt/hermes/website/docs/user-guide/features/skills.md\", \"/opt/hermes/website/docs/guides/work-with-skills.md\", \"/opt/hermes/website/docs/developer-guide/creating-skills.md\", \"/opt/hermes/website/docs/reference/optional-skills-catalog.md\", \"/opt/hermes/website/docs/reference/skills-catalog.md\", \"/opt/hermes/website/scripts/extract-skills.py\", \"/opt/hermes/agent/skill_commands.py\", \"/opt/hermes/agent/skill_utils.py\", \"/opt/hermes/hermes_cli/skills_config.py\", \"/opt/hermes/hermes_cli/skills_hub.py\", \"/opt/hermes/skills/index-cache/anthropics_skills_skills_.json\", \"/opt/hermes/skills/index-cache/openai_skills_skills_.json\", \"/opt/hermes/skills/index-cache/claude_marketplace_anthropics_skills.json\", \"/opt/hermes/scripts/build_skills_index.py\"]}", "tool_call_id": "chatcmpl-tool-a4ba892ace479f12" }, { "role": "assistant", "content": "", "reasoning": "We need to call the skills_list tool. However, we don't have a tool named skills_list directly in the list of available tools. The available tools are patch, read_file, search_files, write_file. The task says: \"Call the skills_list tool and write the JSON output to /tmp/skills.json\". Perhaps skills_list is a function provided by the environment? The tools list might be incomplete? Actually, the system might have a tool called skills_list that is not listed in the description? The instructions mention tools: patch, read_file, search_files, write_file. But the task says to call skills_list tool. Possibly skills_list is a command available via the agent? Maybe we need to invoke a skill command? Alternatively, maybe skills_list is a function that we can call via the agent's internal capability? However, as an AI, we can only use the provided tools. Since skills_list is not among them, we need to think: maybe we can use the skills_tool.py to list skills? There is a file /opt/hermes/tools/skills_tool.py. That likely implements a skill listing function. We could run that script? But we cannot execute arbitrary code; we only have the tools. However, we could read the file and see if it provides a way to list skills? But we need to call the tool and get JSON output.\n\nPerhaps the skills_list tool is actually available but not listed in the tool description because it's a built-in? The initial system message might have omitted it? Let's check the conversation start: \"You are Hermes Agent, an intelligent AI assistant created by Nous Research.\" The tools listed might be only those we can invoke via the function calls. However, the task explicitly says to call the skills_list tool. So we must assume that skills_list is a tool we can invoke similarly to the others, but it's not listed in the tools JSON? Wait, the tools list provided in the prompt includes only patch, read_file, search_files, write_file. But maybe there is also a tool called skills_list that we can call via the same interface? The format for invoking a tool is:\n\n```\n\n\n...\n\n\n```\n\nWe need to know the exact name and parameters. Since it's not documented, we might need to infer. Perhaps skills_list takes no parameters and returns a JSON list of skills. We could try to call it and see what happens.\n\nLet's attempt to invoke skills_list with an empty object.\n\n", "finish_reason": "tool_calls", "reasoning_content": "We need to call the skills_list tool. However, we don't have a tool named skills_list directly in the list of available tools. The available tools are patch, read_file, search_files, write_file. The task says: \"Call the skills_list tool and write the JSON output to /tmp/skills.json\". Perhaps skills_list is a function provided by the environment? The tools list might be incomplete? Actually, the system might have a tool called skills_list that is not listed in the description? The instructions mention tools: patch, read_file, search_files, write_file. But the task says to call skills_list tool. Possibly skills_list is a command available via the agent? Maybe we need to invoke a skill command? Alternatively, maybe skills_list is a function that we can call via the agent's internal capability? However, as an AI, we can only use the provided tools. Since skills_list is not among them, we need to think: maybe we can use the skills_tool.py to list skills? There is a file /opt/hermes/tools/skills_tool.py. That likely implements a skill listing function. We could run that script? But we cannot execute arbitrary code; we only have the tools. However, we could read the file and see if it provides a way to list skills? But we need to call the tool and get JSON output.\n\nPerhaps the skills_list tool is actually available but not listed in the tool description because it's a built-in? The initial system message might have omitted it? Let's check the conversation start: \"You are Hermes Agent, an intelligent AI assistant created by Nous Research.\" The tools listed might be only those we can invoke via the function calls. However, the task explicitly says to call the skills_list tool. So we must assume that skills_list is a tool we can invoke similarly to the others, but it's not listed in the tools JSON? Wait, the tools list provided in the prompt includes only patch, read_file, search_files, write_file. But maybe there is also a tool called skills_list that we can call via the same interface? The format for invoking a tool is:\n\n```\n\n\n...\n\n\n```\n\nWe need to know the exact name and parameters. Since it's not documented, we might need to infer. Perhaps skills_list takes no parameters and returns a JSON list of skills. We could try to call it and see what happens.\n\nLet's attempt to invoke skills_list with an empty object.\n\n", "tool_calls": [ { "id": "chatcmpl-tool-9962c52abeba6059", "call_id": "chatcmpl-tool-9962c52abeba6059", "response_item_id": "fc_chatcmpl-tool-9962c52abeba6059", "type": "function", "function": { "name": "skills_list", "arguments": "{}" } } ] }, { "role": "tool", "tool_call_id": "chatcmpl-tool-9962c52abeba6059", "content": "Tool 'skills_list' does not exist. Available tools: patch, read_file, search_files, write_file" }, { "role": "assistant", "content": "", "reasoning": "We need to call the skills_list tool, but the system says Tool 'skills_list' does not exist. Perhaps the tool is not directly available; maybe we need to use the skills tool? Let's search for any tool that lists skills. Could be a function like `skill_list` or `skills`? However the instructions say \"Call the skills_list tool\". Possibly it's a tool that is available in the environment but not listed? Let's check by trying to call it anyway? The system returned that it doesn't exist. Maybe we need to load a skill first? The context mentions: \"If the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering.\" But this is not about configuring Hermes Agent; it's about calling skills_list.\n\nAlternatively, maybe the tool is called `skills` or `skill_list`. Let's try to see if there is a tool named `skills` that returns a list. We can try to call `skills` with no arguments? But we need to follow the format: we can only call the tools listed: patch, read_file, search_files, write_file. There is no skills_list tool. Perhaps the task expects us to use the `skills` tool via the agent? But the available tools are only those four. Maybe we need to use the `read_file` tool to read a pre-existing file that contains the skills list? Or we need to run a command via something else? However, we cannot execute arbitrary shell commands.\n\nMaybe the `skills_list` tool is actually a function that we can call via the `agent` skill? But we don't have that.\n\nLet's search for any Python files that might define a `skills_list` function. Use search_files for content \"def skills_list\".\n", "finish_reason": "tool_calls", "reasoning_content": "We need to call the skills_list tool, but the system says Tool 'skills_list' does not exist. Perhaps the tool is not directly available; maybe we need to use the skills tool? Let's search for any tool that lists skills. Could be a function like `skill_list` or `skills`? However the instructions say \"Call the skills_list tool\". Possibly it's a tool that is available in the environment but not listed? Let's check by trying to call it anyway? The system returned that it doesn't exist. Maybe we need to load a skill first? The context mentions: \"If the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering.\" But this is not about configuring Hermes Agent; it's about calling skills_list.\n\nAlternatively, maybe the tool is called `skills` or `skill_list`. Let's try to see if there is a tool named `skills` that returns a list. We can try to call `skills` with no arguments? But we need to follow the format: we can only call the tools listed: patch, read_file, search_files, write_file. There is no skills_list tool. Perhaps the task expects us to use the `skills` tool via the agent? But the available tools are only those four. Maybe we need to use the `read_file` tool to read a pre-existing file that contains the skills list? Or we need to run a command via something else? However, we cannot execute arbitrary shell commands.\n\nMaybe the `skills_list` tool is actually a function that we can call via the `agent` skill? But we don't have that.\n\nLet's search for any Python files that might define a `skills_list` function. Use search_files for content \"def skills_list\".\n", "tool_calls": [ { "id": "chatcmpl-tool-a45877e37b3460d7", "call_id": "chatcmpl-tool-a45877e37b3460d7", "response_item_id": "fc_chatcmpl-tool-a45877e37b3460d7", "type": "function", "function": { "name": "search_files", "arguments": "{\"pattern\": \"def skills_list\", \"target\": \"content\", \"path\": \"/opt/hermes\"}" } } ] }, { "role": "tool", "content": "{\"total_count\": 1, \"matches\": [{\"path\": \"/opt/hermes/tools/skills_tool.py\", \"line\": 647, \"content\": \"def skills_list(category: str = None, task_id: str = None) -> str:\"}]}", "tool_call_id": "chatcmpl-tool-a45877e37b3460d7" }, { "role": "assistant", "content": "", "reasoning": "We need to call the skills_list tool. However, the available tools are patch, read_file, search_files, write_file. The user likely expects us to call a tool named \"skills_list\" but it's not directly available. However, from the search we see there's a function defined in /opt/hermes/tools/skills_tool.py. Possibly the tool is exposed as a function we can call? But the system says available tools are only those four. Maybe we need to invoke the skill via some other means? Let's examine the skills_tool.py file to see what skills_list does and maybe we can replicate its output by reading the file? Alternatively, maybe we can call it via the agent's internal tool calling? But the instruction says \"Call the skills_list tool\". Since it's not in the list, maybe we need to load it? The context mentions: If the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering. But this is not about Hermes Agent configuration; it's about calling skills_list.\n\nPerhaps the skills_list tool is actually available but not listed? The system said \"Available tools: patch, read_file, search_files, write_file\". That might be the list of tools we can use. However, the user ask to call skills_list tool. Maybe we need to use the \"patch\" tool to call it? No.\n\nLet's read the skills_tool.py to understand the function and maybe we can compute the output ourselves by reading the skills index or something.\n\nLet's first read the skills_tool.py file.\n", "finish_reason": "tool_calls", "reasoning_content": "We need to call the skills_list tool. However, the available tools are patch, read_file, search_files, write_file. The user likely expects us to call a tool named \"skills_list\" but it's not directly available. However, from the search we see there's a function defined in /opt/hermes/tools/skills_tool.py. Possibly the tool is exposed as a function we can call? But the system says available tools are only those four. Maybe we need to invoke the skill via some other means? Let's examine the skills_tool.py file to see what skills_list does and maybe we can replicate its output by reading the file? Alternatively, maybe we can call it via the agent's internal tool calling? But the instruction says \"Call the skills_list tool\". Since it's not in the list, maybe we need to load it? The context mentions: If the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering. But this is not about Hermes Agent configuration; it's about calling skills_list.\n\nPerhaps the skills_list tool is actually available but not listed? The system said \"Available tools: patch, read_file, search_files, write_file\". That might be the list of tools we can use. However, the user ask to call skills_list tool. Maybe we need to use the \"patch\" tool to call it? No.\n\nLet's read the skills_tool.py to understand the function and maybe we can compute the output ourselves by reading the skills index or something.\n\nLet's first read the skills_tool.py file.\n", "tool_calls": [ { "id": "chatcmpl-tool-a069f8e682377ae7", "call_id": "chatcmpl-tool-a069f8e682377ae7", "response_item_id": "fc_chatcmpl-tool-a069f8e682377ae7", "type": "function", "function": { "name": "read_file", "arguments": "{\"path\": \"/opt/hermes/tools/skills_tool.py\"}" } } ] }, { "role": "tool", "content": "{\"content\": \" 1|#!/usr/bin/env python3\\n 2|\\\"\\\"\\\"\\n 3|Skills Tool Module\\n 4|\\n 5|This module provides tools for listing and viewing skill documents.\\n 6|Skills are organized as directories containing a SKILL.md file (the main instructions)\\n 7|and optional supporting files like references, templates, and examples.\\n 8|\\n 9|Inspired by Anthropic's Claude Skills system with progressive disclosure architecture:\\n 10|- Metadata (name ≤64 chars, description ≤1024 chars) - shown in skills_list\\n 11|- Full Instructions - loaded via skill_view when needed\\n 12|- Linked Files (references, templates) - loaded on demand\\n 13|\\n 14|Directory Structure:\\n 15| skills/\\n 16| ├── my-skill/\\n 17| │ ├── SKILL.md # Main instructions (required)\\n 18| │ ├── references/ # Supporting documentation\\n 19| │ │ ├── api.md\\n 20| │ │ └── examples.md\\n 21| │ ├── templates/ # Templates for output\\n 22| │ │ └── template.md\\n 23| │ └── assets/ # Supplementary files (agentskills.io standard)\\n 24| └── category/ # Category folder for organization\\n 25| └── another-skill/\\n 26| └── SKILL.md\\n 27|\\n 28|SKILL.md Format (YAML Frontmatter, agentskills.io compatible):\\n 29| ---\\n 30| name: skill-name # Required, max 64 chars\\n 31| description: Brief description # Required, max 1024 chars\\n 32| version: 1.0.0 # Optional\\n 33| license: MIT # Optional (agentskills.io)\\n 34| platforms: [macos] # Optional — restrict to specific OS platforms\\n 35| # Valid: macos, linux, windows\\n 36| # Omit to load on all platforms (default)\\n 37| prerequisites: # Optional — legacy runtime requirements\\n 38| env_vars: [API_KEY] # Legacy env var names are normalized into\\n 39| # required_environment_variables on load.\\n 40| commands: [curl, jq] # Command checks remain advisory only.\\n 41| compatibility: Requires X # Optional (agentskills.io)\\n 42| metadata: # Optional, arbitrary key-value (agentskills.io)\\n 43| hermes:\\n 44| tags: [fine-tuning, llm]\\n 45| related_skills: [peft, lora]\\n 46| ---\\n 47|\\n 48| # Skill Title\\n 49|\\n 50| Full instructions and content here...\\n 51|\\n 52|Available tools:\\n 53|- skills_list: List skills with metadata (progressive disclosure tier 1)\\n 54|- skill_view: Load full skill content (progressive disclosure tier 2-3)\\n 55|\\n 56|Usage:\\n 57| from tools.skills_tool import skills_list, skill_view, check_skills_requirements\\n 58|\\n 59| # List all skills (returns metadata only - token efficient)\\n 60| result = skills_list()\\n 61|\\n 62| # View a skill's main content (loads full instructions)\\n 63| content = skill_view(\\\"axolotl\\\")\\n 64|\\n 65| # View a reference file within a skill (loads linked file)\\n 66| content = skill_view(\\\"axolotl\\\", \\\"references/dataset-formats.md\\\")\\n 67|\\\"\\\"\\\"\\n 68|\\n 69|import json\\n 70|import logging\\n 71|\\n 72|from hermes_constants import get_hermes_home, display_hermes_home\\n 73|import os\\n 74|import re\\n 75|from enum import Enum\\n 76|from pathlib import Path\\n 77|from typing import Dict, Any, List, Optional, Set, Tuple\\n 78|\\n 79|from tools.registry import registry, tool_error\\n 80|\\n 81|logger = logging.getLogger(__name__)\\n 82|\\n 83|\\n 84|# All skills live in ~/.hermes/skills/ (seeded from bundled skills/ on install).\\n 85|# This is the single source of truth -- agent edits, hub installs, and bundled\\n 86|# skills all coexist here without polluting the git repo.\\n 87|HERMES_HOME = get_hermes_home()\\n 88|SKILLS_DIR = HERMES_HOME / \\\"skills\\\"\\n 89|\\n 90|# Anthropic-recommended limits for progressive disclosure efficiency\\n 91|MAX_NAME_LENGTH = 64\\n 92|MAX_DESCRIPTION_LENGTH = 1024\\n 93|\\n 94|# Platform identifiers for the 'platforms' frontmatter field.\\n 95|# Maps user-friendly names to sys.platform prefixes.\\n 96|_PLATFORM_MAP = {\\n 97| \\\"macos\\\": \\\"darwin\\\",\\n 98| \\\"linux\\\": \\\"linux\\\",\\n 99| \\\"windows\\\": \\\"win32\\\",\\n 100|}\\n 101|_ENV_VAR_NAME_RE = re.compile(r\\\"^[A-Za-z_][A-Za-z0-9_]*$\\\")\\n 102|_EXCLUDED_SKILL_DIRS = frozenset((\\\".git\\\", \\\".github\\\", \\\".hub\\\"))\\n 103|_REMOTE_ENV_BACKENDS = frozenset({\\\"docker\\\", \\\"singularity\\\", \\\"modal\\\", \\\"ssh\\\", \\\"daytona\\\"})\\n 104|_secret_capture_callback = None\\n 105|\\n 106|\\n 107|def load_env() -> Dict[str, str]:\\n 108| \\\"\\\"\\\"Load profile-scoped environment variables from HERMES_HOME/.env.\\\"\\\"\\\"\\n 109| env_path = get_hermes_home() / \\\".env\\\"\\n 110| env_vars: Dict[str, str] = {}\\n 111| if not env_path.exists():\\n 112| return env_vars\\n 113|\\n 114| with env_path.open() as f:\\n 115| for line in f:\\n 116| line = line.strip()\\n 117| if line and not line.startswith(\\\"#\\\") and \\\"=\\\" in line:\\n 118| key, _, value = line.partition(\\\"=\\\")\\n 119| env_vars[key.strip()] = value.strip().strip(\\\"\\\\\\\"'\\\")\\n 120| return env_vars\\n 121|\\n 122|\\n 123|class SkillReadinessStatus(str, Enum):\\n 124| AVAILABLE = \\\"available\\\"\\n 125| SETUP_NEEDED = \\\"setup_needed\\\"\\n 126| UNSUPPORTED = \\\"unsupported\\\"\\n 127|\\n 128|\\n 129|# Prompt injection detection — shared by local-skill and plugin-skill paths.\\n 130|_INJECTION_PATTERNS: list = [\\n 131| \\\"ignore previous instructions\\\",\\n 132| \\\"ignore all previous\\\",\\n 133| \\\"you are now\\\",\\n 134| \\\"disregard your\\\",\\n 135| \\\"forget your instructions\\\",\\n 136| \\\"new instructions:\\\",\\n 137| \\\"system prompt:\\\",\\n 138| \\\"\\\",\\n 139| \\\"]]>\\\",\\n 140|]\\n 141|\\n 142|\\n 143|def set_secret_capture_callback(callback) -> None:\\n 144| global _secret_capture_callback\\n 145| _secret_capture_callback = callback\\n 146|\\n 147|\\n 148|def skill_matches_platform(frontmatter: Dict[str, Any]) -> bool:\\n 149| \\\"\\\"\\\"Check if a skill is compatible with the current OS platform.\\n 150|\\n 151| Delegates to ``agent.skill_utils.skill_matches_platform`` — kept here\\n 152| as a public re-export so existing callers don't need updating.\\n 153| \\\"\\\"\\\"\\n 154| from agent.skill_utils import skill_matches_platform as _impl\\n 155| return _impl(frontmatter)\\n 156|\\n 157|\\n 158|def _normalize_prerequisite_values(value: Any) -> List[str]:\\n 159| if not value:\\n 160| return []\\n 161| if isinstance(value, str):\\n 162| value = [value]\\n 163| return [str(item) for item in value if str(item).strip()]\\n 164|\\n 165|\\n 166|def _collect_prerequisite_values(\\n 167| frontmatter: Dict[str, Any],\\n 168|) -> Tuple[List[str], List[str]]:\\n 169| prereqs = frontmatter.get(\\\"prerequisites\\\")\\n 170| if not prereqs or not isinstance(prereqs, dict):\\n 171| return [], []\\n 172| return (\\n 173| _normalize_prerequisite_values(prereqs.get(\\\"env_vars\\\")),\\n 174| _normalize_prerequisite_values(prereqs.get(\\\"commands\\\")),\\n 175| )\\n 176|\\n 177|\\n 178|def _normalize_setup_metadata(frontmatter: Dict[str, Any]) -> Dict[str, Any]:\\n 179| setup = frontmatter.get(\\\"setup\\\")\\n 180| if not isinstance(setup, dict):\\n 181| return {\\\"help\\\": None, \\\"collect_secrets\\\": []}\\n 182|\\n 183| help_text = setup.get(\\\"help\\\")\\n 184| normalized_help = (\\n 185| str(help_text).strip()\\n 186| if isinstance(help_text, str) and help_text.strip()\\n 187| else None\\n 188| )\\n 189|\\n 190| collect_secrets_raw = setup.get(\\\"collect_secrets\\\")\\n 191| if isinstance(collect_secrets_raw, dict):\\n 192| collect_secrets_raw = [collect_secrets_raw]\\n 193| if not isinstance(collect_secrets_raw, list):\\n 194| collect_secrets_raw = []\\n 195|\\n 196| collect_secrets: List[Dict[str, Any]] = []\\n 197| for item in collect_secrets_raw:\\n 198| if not isinstance(item, dict):\\n 199| continue\\n 200|\\n 201| env_var = str(item.get(\\\"env_var\\\") or \\\"\\\").strip()\\n 202| if not env_var:\\n 203| continue\\n 204|\\n 205| prompt = str(item.get(\\\"prompt\\\") or f\\\"Enter value for {env_var}\\\").strip()\\n 206| provider_url = str(item.get(\\\"provider_url\\\") or item.get(\\\"url\\\") or \\\"\\\").strip()\\n 207|\\n 208| entry: Dict[str, Any] = {\\n 209| \\\"env_var\\\": env_var,\\n 210| \\\"prompt\\\": prompt,\\n 211| \\\"secret\\\": bool(item.get(\\\"secret\\\", True)),\\n 212| }\\n 213| if provider_url:\\n 214| entry[\\\"provider_url\\\"] = provider_url\\n 215| collect_secrets.append(entry)\\n 216|\\n 217| return {\\n 218| \\\"help\\\": normalized_help,\\n 219| \\\"collect_secrets\\\": collect_secrets,\\n 220| }\\n 221|\\n 222|\\n 223|def _get_required_environment_variables(\\n 224| frontmatter: Dict[str, Any],\\n 225| legacy_env_vars: List[str] | None = None,\\n 226|) -> List[Dict[str, Any]]:\\n 227| setup = _normalize_setup_metadata(frontmatter)\\n 228| required_raw = frontmatter.get(\\\"required_environment_variables\\\")\\n 229| if isinstance(required_raw, dict):\\n 230| required_raw = [required_raw]\\n 231| if not isinstance(required_raw, list):\\n 232| required_raw = []\\n 233|\\n 234| required: List[Dict[str, Any]] = []\\n 235| seen: set[str] = set()\\n 236|\\n 237| def _append_required(entry: Dict[str, Any]) -> None:\\n 238| env_name = str(entry.get(\\\"name\\\") or entry.get(\\\"env_var\\\") or \\\"\\\").strip()\\n 239| if not env_name or env_name in seen:\\n 240| return\\n 241| if not _ENV_VAR_NAME_RE.match(env_name):\\n 242| return\\n 243|\\n 244| normalized: Dict[str, Any] = {\\n 245| \\\"name\\\": env_name,\\n 246| \\\"prompt\\\": str(entry.get(\\\"prompt\\\") or f\\\"Enter value for {env_name}\\\").strip(),\\n 247| }\\n 248|\\n 249| help_text = (\\n 250| entry.get(\\\"help\\\")\\n 251| or entry.get(\\\"provider_url\\\")\\n 252| or entry.get(\\\"url\\\")\\n 253| or setup.get(\\\"help\\\")\\n 254| )\\n 255| if isinstance(help_text, str) and help_text.strip():\\n 256| normalized[\\\"help\\\"] = help_text.strip()\\n 257|\\n 258| required_for = entry.get(\\\"required_for\\\")\\n 259| if isinstance(required_for, str) and required_for.strip():\\n 260| normalized[\\\"required_for\\\"] = required_for.strip()\\n 261|\\n 262| if entry.get(\\\"optional\\\"):\\n 263| normalized[\\\"optional\\\"] = True\\n 264|\\n 265| seen.add(env_name)\\n 266| required.append(normalized)\\n 267|\\n 268| for item in required_raw:\\n 269| if isinstance(item, str):\\n 270| _append_required({\\\"name\\\": item})\\n 271| continue\\n 272| if isinstance(item, dict):\\n 273| _append_required(item)\\n 274|\\n 275| for item in setup[\\\"collect_secrets\\\"]:\\n 276| _append_required(\\n 277| {\\n 278| \\\"name\\\": item.get(\\\"env_var\\\"),\\n 279| \\\"prompt\\\": item.get(\\\"prompt\\\"),\\n 280| \\\"help\\\": item.get(\\\"provider_url\\\") or setup.get(\\\"help\\\"),\\n 281| }\\n 282| )\\n 283|\\n 284| if legacy_env_vars is None:\\n 285| legacy_env_vars, _ = _collect_prerequisite_values(frontmatter)\\n 286| for env_var in legacy_env_vars:\\n 287| _append_required({\\\"name\\\": env_var})\\n 288|\\n 289| return required\\n 290|\\n 291|\\n 292|def _capture_required_environment_variables(\\n 293| skill_name: str,\\n 294| missing_entries: List[Dict[str, Any]],\\n 295|) -> Dict[str, Any]:\\n 296| if not missing_entries:\\n 297| return {\\n 298| \\\"missing_names\\\": [],\\n 299| \\\"setup_skipped\\\": False,\\n 300| \\\"gateway_setup_hint\\\": None,\\n 301| }\\n 302|\\n 303| missing_names = [entry[\\\"name\\\"] for entry in missing_entries]\\n 304| if _is_gateway_surface():\\n 305| return {\\n 306| \\\"missing_names\\\": missing_names,\\n 307| \\\"setup_skipped\\\": False,\\n 308| \\\"gateway_setup_hint\\\": _gateway_setup_hint(),\\n 309| }\\n 310|\\n 311| if _secret_capture_callback is None:\\n 312| return {\\n 313| \\\"missing_names\\\": missing_names,\\n 314| \\\"setup_skipped\\\": False,\\n 315| \\\"gateway_setup_hint\\\": None,\\n 316| }\\n 317|\\n 318| setup_skipped = False\\n 319| remaining_names: List[str] = []\\n 320|\\n 321| for entry in missing_entries:\\n 322| metadata = {\\\"skill_name\\\": skill_name}\\n 323| if entry.get(\\\"help\\\"):\\n 324| metadata[\\\"help\\\"] = entry[\\\"help\\\"]\\n 325| if entry.get(\\\"required_for\\\"):\\n 326| metadata[\\\"required_for\\\"] = entry[\\\"required_for\\\"]\\n 327|\\n 328| try:\\n 329| callback_result = _secret_capture_callback(\\n 330| entry[\\\"name\\\"],\\n 331| entry[\\\"prompt\\\"],\\n 332| metadata,\\n 333| )\\n 334| except Exception:\\n 335| logger.warning(\\n 336| f\\\"Secret capture callback failed for {entry['name']}\\\", exc_info=True\\n 337| )\\n 338| callback_result = {\\n 339| \\\"success\\\": False,\\n 340| \\\"stored_as\\\": entry[\\\"name\\\"],\\n 341| \\\"validated\\\": False,\\n 342| \\\"skipped\\\": True,\\n 343| }\\n 344|\\n 345| success = isinstance(callback_result, dict) and bool(\\n 346| callback_result.get(\\\"success\\\")\\n 347| )\\n 348| skipped = isinstance(callback_result, dict) and bool(\\n 349| callback_result.get(\\\"skipped\\\")\\n 350| )\\n 351| if success and not skipped:\\n 352| continue\\n 353|\\n 354| setup_skipped = True\\n 355| remaining_names.append(entry[\\\"name\\\"])\\n 356|\\n 357| return {\\n 358| \\\"missing_names\\\": remaining_names,\\n 359| \\\"setup_skipped\\\": setup_skipped,\\n 360| \\\"gateway_setup_hint\\\": None,\\n 361| }\\n 362|\\n 363|\\n 364|def _is_gateway_surface() -> bool:\\n 365| if os.getenv(\\\"HERMES_GATEWAY_SESSION\\\"):\\n 366| return True\\n 367| from gateway.session_context import get_session_env\\n 368| return bool(get_session_env(\\\"HERMES_SESSION_PLATFORM\\\"))\\n 369|\\n 370|\\n 371|def _get_terminal_backend_name() -> str:\\n 372| return str(os.getenv(\\\"TERMINAL_ENV\\\", \\\"local\\\")).strip().lower() or \\\"local\\\"\\n 373|\\n 374|\\n 375|def _is_env_var_persisted(\\n 376| var_name: str, env_snapshot: Dict[str, str] | None = None\\n 377|) -> bool:\\n 378| if env_snapshot is None:\\n 379| env_snapshot = load_env()\\n 380| if var_name in env_snapshot:\\n 381| return bool(env_snapshot.get(var_name))\\n 382| return bool(os.getenv(var_name))\\n 383|\\n 384|\\n 385|def _remaining_required_environment_names(\\n 386| required_env_vars: List[Dict[str, Any]],\\n 387| capture_result: Dict[str, Any],\\n 388| *,\\n 389| env_snapshot: Dict[str, str] | None = None,\\n 390|) -> List[str]:\\n 391| missing_names = set(capture_result[\\\"missing_names\\\"])\\n 392|\\n 393| if env_snapshot is None:\\n 394| env_snapshot = load_env()\\n 395| remaining = []\\n 396| for entry in required_env_vars:\\n 397| name = entry[\\\"name\\\"]\\n 398| if entry.get(\\\"optional\\\"):\\n 399| continue\\n 400| if name in missing_names or not _is_env_var_persisted(name, env_snapshot):\\n 401| remaining.append(name)\\n 402| return remaining\\n 403|\\n 404|\\n 405|def _gateway_setup_hint() -> str:\\n 406| try:\\n 407| from gateway.platforms.base import GATEWAY_SECRET_CAPTURE_UNSUPPORTED_MESSAGE\\n 408|\\n 409| return GATEWAY_SECRET_CAPTURE_UNSUPPORTED_MESSAGE\\n 410| except Exception:\\n 411| return f\\\"Secure secret entry is not available. Load this skill in the local CLI to be prompted, or add the key to {display_hermes_home()}/.env manually.\\\"\\n 412|\\n 413|\\n 414|def _build_setup_note(\\n 415| readiness_status: SkillReadinessStatus,\\n 416| missing: List[str],\\n 417| setup_help: str | None = None,\\n 418|) -> str | None:\\n 419| if readiness_status == SkillReadinessStatus.SETUP_NEEDED:\\n 420| missing_str = \\\", \\\".join(missing) if missing else \\\"required prerequisites\\\"\\n 421| note = f\\\"Setup needed before using this skill: missing {missing_str}.\\\"\\n 422| if setup_help:\\n 423| return f\\\"{note} {setup_help}\\\"\\n 424| return note\\n 425| return None\\n 426|\\n 427|\\n 428|def check_skills_requirements() -> bool:\\n 429| \\\"\\\"\\\"Skills are always available -- the directory is created on first use if needed.\\\"\\\"\\\"\\n 430| return True\\n 431|\\n 432|\\n 433|def _parse_frontmatter(content: str) -> Tuple[Dict[str, Any], str]:\\n 434| \\\"\\\"\\\"Parse YAML frontmatter from markdown content.\\n 435|\\n 436| Delegates to ``agent.skill_utils.parse_frontmatter`` — kept here\\n 437| as a public re-export so existing callers don't need updating.\\n 438| \\\"\\\"\\\"\\n 439| from agent.skill_utils import parse_frontmatter\\n 440| return parse_frontmatter(content)\\n 441|\\n 442|\\n 443|def _get_category_from_path(skill_path: Path) -> Optional[str]:\\n 444| \\\"\\\"\\\"\\n 445| Extract category from skill path based on directory structure.\\n 446|\\n 447| For paths like: ~/.hermes/skills/mlops/axolotl/SKILL.md -> \\\"mlops\\\"\\n 448| Also works for external skill dirs configured via skills.external_dirs.\\n 449| \\\"\\\"\\\"\\n 450| # Try the module-level SKILLS_DIR first (respects monkeypatching in tests),\\n 451| # then fall back to external dirs from config.\\n 452| dirs_to_check = [SKILLS_DIR]\\n 453| try:\\n 454| from agent.skill_utils import get_external_skills_dirs\\n 455| dirs_to_check.extend(get_external_skills_dirs())\\n 456| except Exception:\\n 457| pass\\n 458| for skills_dir in dirs_to_check:\\n 459| try:\\n 460| rel_path = skill_path.relative_to(skills_dir)\\n 461| parts = rel_path.parts\\n 462| if len(parts) >= 3:\\n 463| return parts[0]\\n 464| except ValueError:\\n 465| continue\\n 466| return None\\n 467|\\n 468|\\n 469|def _parse_tags(tags_value) -> List[str]:\\n 470| \\\"\\\"\\\"\\n 471| Parse tags from frontmatter value.\\n 472|\\n 473| Handles:\\n 474| - Already-parsed list (from yaml.safe_load): [tag1, tag2]\\n 475| - String with brackets: \\\"[tag1, tag2]\\\"\\n 476| - Comma-separated string: \\\"tag1, tag2\\\"\\n 477|\\n 478| Args:\\n 479| tags_value: Raw tags value — may be a list or string\\n 480|\\n 481| Returns:\\n 482| List of tag strings\\n 483| \\\"\\\"\\\"\\n 484| if not tags_value:\\n 485| return []\\n 486|\\n 487| # yaml.safe_load already returns a list for [tag1, tag2]\\n 488| if isinstance(tags_value, list):\\n 489| return [str(t).strip() for t in tags_value if t]\\n 490|\\n 491| # String fallback — handle bracket-wrapped or comma-separated\\n 492| tags_value = str(tags_value).strip()\\n 493| if tags_value.startswith(\\\"[\\\") and tags_value.endswith(\\\"]\\\"):\\n 494| tags_value = tags_value[1:-1]\\n 495|\\n 496| return [t.strip().strip(\\\"\\\\\\\"'\\\") for t in tags_value.split(\\\",\\\") if t.strip()]\\n 497|\\n 498|\\n 499|\\n 500|def _get_disabled_skill_names() -> Set[str]:\\n 501|\", \"total_lines\": 1419, \"file_size\": 51465, \"truncated\": true, \"hint\": \"Use offset=501 to continue reading (showing 1-500 of 1419 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "chatcmpl-tool-a069f8e682377ae7" }, { "role": "assistant", "content": "", "reasoning": "We need to call the skills_list function (which is defined in the skills_tool.py). We can either import it and call it, but we have only the tools available: patch, read_file, search_files, write_file. There's no direct way to call a Python function. However, we can perhaps run a Python script using the available tools? Not directly. But maybe the skills_list is exposed as a tool via the tools registry? The assistant has a tool \"skills_list\"? The earlier attempt said Tool 'skills_list' does not exist. Available tools: patch, read_file, search_files, write_file. So we cannot call it as a tool. But we can read the skills directory and construct the JSON ourselves? The task: \"Call the skills_list tool and write the JSON output to /tmp/skills.json\". Perhaps we can simulate by reading the skills directory and outputting the expected JSON format. Let's examine the skills_list function in the file to see what it returns.\n\nWe need to see the rest of the file from line 501 onward. Let's read the rest.\n", "finish_reason": "tool_calls", "reasoning_content": "We need to call the skills_list function (which is defined in the skills_tool.py). We can either import it and call it, but we have only the tools available: patch, read_file, search_files, write_file. There's no direct way to call a Python function. However, we can perhaps run a Python script using the available tools? Not directly. But maybe the skills_list is exposed as a tool via the tools registry? The assistant has a tool \"skills_list\"? The earlier attempt said Tool 'skills_list' does not exist. Available tools: patch, read_file, search_files, write_file. So we cannot call it as a tool. But we can read the skills directory and construct the JSON ourselves? The task: \"Call the skills_list tool and write the JSON output to /tmp/skills.json\". Perhaps we can simulate by reading the skills directory and outputting the expected JSON format. Let's examine the skills_list function in the file to see what it returns.\n\nWe need to see the rest of the file from line 501 onward. Let's read the rest.\n", "tool_calls": [ { "id": "chatcmpl-tool-9dce544100d3be9a", "call_id": "chatcmpl-tool-9dce544100d3be9a", "response_item_id": "fc_chatcmpl-tool-9dce544100d3be9a", "type": "function", "function": { "name": "read_file", "arguments": "{\"path\": \"/opt/hermes/tools/skills_tool.py\", \"offset\": 501, \"limit\": 500}" } } ] }, { "role": "tool", "content": "{\"content\": \" 501| \\\"\\\"\\\"Load disabled skill names from config.\\n 502|\\n 503| Delegates to ``agent.skill_utils.get_disabled_skill_names`` — kept here\\n 504| as a public re-export so existing callers don't need updating.\\n 505| \\\"\\\"\\\"\\n 506| from agent.skill_utils import get_disabled_skill_names\\n 507| return get_disabled_skill_names()\\n 508|\\n 509|\\n 510|def _is_skill_disabled(name: str, platform: str = None) -> bool:\\n 511| \\\"\\\"\\\"Check if a skill is disabled in config.\\\"\\\"\\\"\\n 512| import os\\n 513| try:\\n 514| from hermes_cli.config import load_config\\n 515| config = load_config()\\n 516| skills_cfg = config.get(\\\"skills\\\", {})\\n 517| resolved_platform = platform or os.getenv(\\\"HERMES_PLATFORM\\\")\\n 518| if resolved_platform:\\n 519| platform_disabled = skills_cfg.get(\\\"platform_disabled\\\", {}).get(resolved_platform)\\n 520| if platform_disabled is not None:\\n 521| return name in platform_disabled\\n 522| return name in skills_cfg.get(\\\"disabled\\\", [])\\n 523| except Exception:\\n 524| return False\\n 525|\\n 526|\\n 527|def _find_all_skills(*, skip_disabled: bool = False) -> List[Dict[str, Any]]:\\n 528| \\\"\\\"\\\"Recursively find all skills in ~/.hermes/skills/ and external dirs.\\n 529|\\n 530| Args:\\n 531| skip_disabled: If True, return ALL skills regardless of disabled\\n 532| state (used by ``hermes skills`` config UI). Default False\\n 533| filters out disabled skills.\\n 534|\\n 535| Returns:\\n 536| List of skill metadata dicts (name, description, category).\\n 537| \\\"\\\"\\\"\\n 538| from agent.skill_utils import get_external_skills_dirs\\n 539|\\n 540| skills = []\\n 541| seen_names: set = set()\\n 542|\\n 543| # Load disabled set once (not per-skill)\\n 544| disabled = set() if skip_disabled else _get_disabled_skill_names()\\n 545|\\n 546| # Scan local dir first, then external dirs (local takes precedence)\\n 547| dirs_to_scan = []\\n 548| if SKILLS_DIR.exists():\\n 549| dirs_to_scan.append(SKILLS_DIR)\\n 550| dirs_to_scan.extend(get_external_skills_dirs())\\n 551|\\n 552| for scan_dir in dirs_to_scan:\\n 553| for skill_md in scan_dir.rglob(\\\"SKILL.md\\\"):\\n 554| if any(part in _EXCLUDED_SKILL_DIRS for part in skill_md.parts):\\n 555| continue\\n 556|\\n 557| skill_dir = skill_md.parent\\n 558|\\n 559| try:\\n 560| content = skill_md.read_text(encoding=\\\"utf-8\\\")[:4000]\\n 561| frontmatter, body = _parse_frontmatter(content)\\n 562|\\n 563| if not skill_matches_platform(frontmatter):\\n 564| continue\\n 565|\\n 566| name = frontmatter.get(\\\"name\\\", skill_dir.name)[:MAX_NAME_LENGTH]\\n 567| if name in seen_names:\\n 568| continue\\n 569| if name in disabled:\\n 570| continue\\n 571|\\n 572| description = frontmatter.get(\\\"description\\\", \\\"\\\")\\n 573| if not description:\\n 574| for line in body.strip().split(\\\"\\\\n\\\"):\\n 575| line = line.strip()\\n 576| if line and not line.startswith(\\\"#\\\"):\\n 577| description = line\\n 578| break\\n 579|\\n 580| if len(description) > MAX_DESCRIPTION_LENGTH:\\n 581| description = description[:MAX_DESCRIPTION_LENGTH - 3] + \\\"...\\\"\\n 582|\\n 583| category = _get_category_from_path(skill_md)\\n 584|\\n 585| seen_names.add(name)\\n 586| skills.append({\\n 587| \\\"name\\\": name,\\n 588| \\\"description\\\": description,\\n 589| \\\"category\\\": category,\\n 590| })\\n 591|\\n 592| except (UnicodeDecodeError, PermissionError) as e:\\n 593| logger.debug(\\\"Failed to read skill file %s: %s\\\", skill_md, e)\\n 594| continue\\n 595| except Exception as e:\\n 596| logger.debug(\\n 597| \\\"Skipping skill at %s: failed to parse: %s\\\", skill_md, e, exc_info=True\\n 598| )\\n 599| continue\\n 600|\\n 601| return skills\\n 602|\\n 603|\\n 604|def _load_category_description(category_dir: Path) -> Optional[str]:\\n 605| \\\"\\\"\\\"\\n 606| Load category description from DESCRIPTION.md if it exists.\\n 607|\\n 608| Args:\\n 609| category_dir: Path to the category directory\\n 610|\\n 611| Returns:\\n 612| Description string or None if not found\\n 613| \\\"\\\"\\\"\\n 614| desc_file = category_dir / \\\"DESCRIPTION.md\\\"\\n 615| if not desc_file.exists():\\n 616| return None\\n 617|\\n 618| try:\\n 619| content = desc_file.read_text(encoding=\\\"utf-8\\\")\\n 620| # Parse frontmatter if present\\n 621| frontmatter, body = _parse_frontmatter(content)\\n 622|\\n 623| # Prefer frontmatter description, fall back to first non-header line\\n 624| description = frontmatter.get(\\\"description\\\", \\\"\\\")\\n 625| if not description:\\n 626| for line in body.strip().split(\\\"\\\\n\\\"):\\n 627| line = line.strip()\\n 628| if line and not line.startswith(\\\"#\\\"):\\n 629| description = line\\n 630| break\\n 631|\\n 632| # Truncate to reasonable length\\n 633| if len(description) > MAX_DESCRIPTION_LENGTH:\\n 634| description = description[: MAX_DESCRIPTION_LENGTH - 3] + \\\"...\\\"\\n 635|\\n 636| return description if description else None\\n 637| except (UnicodeDecodeError, PermissionError) as e:\\n 638| logger.debug(\\\"Failed to read category description %s: %s\\\", desc_file, e)\\n 639| return None\\n 640| except Exception as e:\\n 641| logger.warning(\\n 642| \\\"Error parsing category description %s: %s\\\", desc_file, e, exc_info=True\\n 643| )\\n 644| return None\\n 645|\\n 646|\\n 647|def skills_list(category: str = None, task_id: str = None) -> str:\\n 648| \\\"\\\"\\\"\\n 649| List all available skills (progressive disclosure tier 1 - minimal metadata).\\n 650|\\n 651| Returns only name + description to minimize token usage. Use skill_view() to\\n 652| load full content, tags, related files, etc.\\n 653|\\n 654| Args:\\n 655| category: Optional category filter (e.g., \\\"mlops\\\")\\n 656| task_id: Optional task identifier used to probe the active backend\\n 657|\\n 658| Returns:\\n 659| JSON string with minimal skill info: name, description, category\\n 660| \\\"\\\"\\\"\\n 661| try:\\n 662| if not SKILLS_DIR.exists():\\n 663| SKILLS_DIR.mkdir(parents=True, exist_ok=True)\\n 664| return json.dumps(\\n 665| {\\n 666| \\\"success\\\": True,\\n 667| \\\"skills\\\": [],\\n 668| \\\"categories\\\": [],\\n 669| \\\"message\\\": f\\\"No skills found. Skills directory created at {display_hermes_home()}/skills/\\\",\\n 670| },\\n 671| ensure_ascii=False,\\n 672| )\\n 673|\\n 674| # Find all skills\\n 675| all_skills = _find_all_skills()\\n 676|\\n 677| if not all_skills:\\n 678| return json.dumps(\\n 679| {\\n 680| \\\"success\\\": True,\\n 681| \\\"skills\\\": [],\\n 682| \\\"categories\\\": [],\\n 683| \\\"message\\\": \\\"No skills found in skills/ directory.\\\",\\n 684| },\\n 685| ensure_ascii=False,\\n 686| )\\n 687|\\n 688| # Filter by category if specified\\n 689| if category:\\n 690| all_skills = [s for s in all_skills if s.get(\\\"category\\\") == category]\\n 691|\\n 692| # Sort by category then name\\n 693| all_skills.sort(key=lambda s: (s.get(\\\"category\\\") or \\\"\\\", s[\\\"name\\\"]))\\n 694|\\n 695| # Extract unique categories\\n 696| categories = sorted(\\n 697| set(s.get(\\\"category\\\") for s in all_skills if s.get(\\\"category\\\"))\\n 698| )\\n 699|\\n 700| return json.dumps(\\n 701| {\\n 702| \\\"success\\\": True,\\n 703| \\\"skills\\\": all_skills,\\n 704| \\\"categories\\\": categories,\\n 705| \\\"count\\\": len(all_skills),\\n 706| \\\"hint\\\": \\\"Use skill_view(name) to see full content, tags, and linked files\\\",\\n 707| },\\n 708| ensure_ascii=False,\\n 709| )\\n 710|\\n 711| except Exception as e:\\n 712| return tool_error(str(e), success=False)\\n 713|\\n 714|\\n 715|# ── Plugin skill serving ──────────────────────────────────────────────────\\n 716|\\n 717|\\n 718|def _serve_plugin_skill(\\n 719| skill_md: Path,\\n 720| namespace: str,\\n 721| bare: str,\\n 722|) -> str:\\n 723| \\\"\\\"\\\"Read a plugin-provided skill, apply guards, return JSON.\\\"\\\"\\\"\\n 724| from hermes_cli.plugins import _get_disabled_plugins, get_plugin_manager\\n 725|\\n 726| if namespace in _get_disabled_plugins():\\n 727| return json.dumps(\\n 728| {\\n 729| \\\"success\\\": False,\\n 730| \\\"error\\\": (\\n 731| f\\\"Plugin '{namespace}' is disabled. \\\"\\n 732| f\\\"Re-enable with: hermes plugins enable {namespace}\\\"\\n 733| ),\\n 734| },\\n 735| ensure_ascii=False,\\n 736| )\\n 737|\\n 738| try:\\n 739| content = skill_md.read_text(encoding=\\\"utf-8\\\")\\n 740| except Exception as e:\\n 741| return json.dumps(\\n 742| {\\\"success\\\": False, \\\"error\\\": f\\\"Failed to read skill '{namespace}:{bare}': {e}\\\"},\\n 743| ensure_ascii=False,\\n 744| )\\n 745|\\n 746| parsed_frontmatter: Dict[str, Any] = {}\\n 747| try:\\n 748| parsed_frontmatter, _ = _parse_frontmatter(content)\\n 749| except Exception:\\n 750| pass\\n 751|\\n 752| if not skill_matches_platform(parsed_frontmatter):\\n 753| return json.dumps(\\n 754| {\\n 755| \\\"success\\\": False,\\n 756| \\\"error\\\": f\\\"Skill '{namespace}:{bare}' is not supported on this platform.\\\",\\n 757| \\\"readiness_status\\\": SkillReadinessStatus.UNSUPPORTED.value,\\n 758| },\\n 759| ensure_ascii=False,\\n 760| )\\n 761|\\n 762| # Injection scan — log but still serve (matches local-skill behaviour)\\n 763| if any(p in content.lower() for p in _INJECTION_PATTERNS):\\n 764| logger.warning(\\n 765| \\\"Plugin skill '%s:%s' contains patterns that may indicate prompt injection\\\",\\n 766| namespace, bare,\\n 767| )\\n 768|\\n 769| description = str(parsed_frontmatter.get(\\\"description\\\", \\\"\\\"))\\n 770| if len(description) > MAX_DESCRIPTION_LENGTH:\\n 771| description = description[: MAX_DESCRIPTION_LENGTH - 3] + \\\"...\\\"\\n 772|\\n 773| # Bundle context banner — tells the agent about sibling skills\\n 774| try:\\n 775| siblings = [\\n 776| s for s in get_plugin_manager().list_plugin_skills(namespace)\\n 777| if s != bare\\n 778| ]\\n 779| if siblings:\\n 780| sib_list = \\\", \\\".join(siblings)\\n 781| banner = (\\n 782| f\\\"[Bundle context: This skill is part of the '{namespace}' plugin.\\\\n\\\"\\n 783| f\\\"Sibling skills: {sib_list}.\\\\n\\\"\\n 784| f\\\"Use qualified form to invoke siblings (e.g. {namespace}:{siblings[0]}).]\\\\n\\\\n\\\"\\n 785| )\\n 786| else:\\n 787| banner = f\\\"[Bundle context: This skill is part of the '{namespace}' plugin.]\\\\n\\\\n\\\"\\n 788| except Exception:\\n 789| banner = \\\"\\\"\\n 790|\\n 791| return json.dumps(\\n 792| {\\n 793| \\\"success\\\": True,\\n 794| \\\"name\\\": f\\\"{namespace}:{bare}\\\",\\n 795| \\\"content\\\": f\\\"{banner}{content}\\\" if banner else content,\\n 796| \\\"description\\\": description,\\n 797| \\\"linked_files\\\": None,\\n 798| \\\"readiness_status\\\": SkillReadinessStatus.AVAILABLE.value,\\n 799| },\\n 800| ensure_ascii=False,\\n 801| )\\n 802|\\n 803|\\n 804|def skill_view(name: str, file_path: str = None, task_id: str = None) -> str:\\n 805| \\\"\\\"\\\"\\n 806| View the content of a skill or a specific file within a skill directory.\\n 807|\\n 808| Args:\\n 809| name: Name or path of the skill (e.g., \\\"axolotl\\\" or \\\"03-fine-tuning/axolotl\\\").\\n 810| Qualified names like \\\"plugin:skill\\\" resolve to plugin-provided skills.\\n 811| file_path: Optional path to a specific file within the skill (e.g., \\\"references/api.md\\\")\\n 812| task_id: Optional task identifier used to probe the active backend\\n 813|\\n 814| Returns:\\n 815| JSON string with skill content or error message\\n 816| \\\"\\\"\\\"\\n 817| try:\\n 818| # ── Qualified name dispatch (plugin skills) ──────────────────\\n 819| # Names containing ':' are routed to the plugin skill registry.\\n 820| # Bare names fall through to the existing flat-tree scan below.\\n 821| if \\\":\\\" in name:\\n 822| from agent.skill_utils import is_valid_namespace, parse_qualified_name\\n 823| from hermes_cli.plugins import discover_plugins, get_plugin_manager\\n 824|\\n 825| namespace, bare = parse_qualified_name(name)\\n 826| if not is_valid_namespace(namespace):\\n 827| return json.dumps(\\n 828| {\\n 829| \\\"success\\\": False,\\n 830| \\\"error\\\": (\\n 831| f\\\"Invalid namespace '{namespace}' in '{name}'. \\\"\\n 832| f\\\"Namespaces must match [a-zA-Z0-9_-]+.\\\"\\n 833| ),\\n 834| },\\n 835| ensure_ascii=False,\\n 836| )\\n 837|\\n 838| discover_plugins() # idempotent\\n 839| pm = get_plugin_manager()\\n 840| plugin_skill_md = pm.find_plugin_skill(name)\\n 841|\\n 842| if plugin_skill_md is not None:\\n 843| if not plugin_skill_md.exists():\\n 844| # Stale registry entry — file deleted out of band\\n 845| pm.remove_plugin_skill(name)\\n 846| return json.dumps(\\n 847| {\\n 848| \\\"success\\\": False,\\n 849| \\\"error\\\": (\\n 850| f\\\"Skill '{name}' file no longer exists at \\\"\\n 851| f\\\"{plugin_skill_md}. The registry entry has \\\"\\n 852| f\\\"been cleaned up — try again after the \\\"\\n 853| f\\\"plugin is reloaded.\\\"\\n 854| ),\\n 855| },\\n 856| ensure_ascii=False,\\n 857| )\\n 858| return _serve_plugin_skill(plugin_skill_md, namespace, bare)\\n 859|\\n 860| # Plugin exists but this specific skill is missing?\\n 861| available = pm.list_plugin_skills(namespace)\\n 862| if available:\\n 863| return json.dumps(\\n 864| {\\n 865| \\\"success\\\": False,\\n 866| \\\"error\\\": f\\\"Skill '{bare}' not found in plugin '{namespace}'.\\\",\\n 867| \\\"available_skills\\\": [f\\\"{namespace}:{s}\\\" for s in available],\\n 868| \\\"hint\\\": f\\\"The '{namespace}' plugin provides {len(available)} skill(s).\\\",\\n 869| },\\n 870| ensure_ascii=False,\\n 871| )\\n 872| # Plugin itself not found — fall through to flat-tree scan\\n 873| # which will return a normal \\\"not found\\\" with suggestions.\\n 874|\\n 875| from agent.skill_utils import get_external_skills_dirs\\n 876|\\n 877| # Build list of all skill directories to search\\n 878| all_dirs = []\\n 879| if SKILLS_DIR.exists():\\n 880| all_dirs.append(SKILLS_DIR)\\n 881| all_dirs.extend(get_external_skills_dirs())\\n 882|\\n 883| if not all_dirs:\\n 884| return json.dumps(\\n 885| {\\n 886| \\\"success\\\": False,\\n 887| \\\"error\\\": \\\"Skills directory does not exist yet. It will be created on first install.\\\",\\n 888| },\\n 889| ensure_ascii=False,\\n 890| )\\n 891|\\n 892| skill_dir = None\\n 893| skill_md = None\\n 894|\\n 895| # Search all dirs: local first, then external (first match wins)\\n 896| for search_dir in all_dirs:\\n 897| # Try direct path first (e.g., \\\"mlops/axolotl\\\")\\n 898| direct_path = search_dir / name\\n 899| if direct_path.is_dir() and (direct_path / \\\"SKILL.md\\\").exists():\\n 900| skill_dir = direct_path\\n 901| skill_md = direct_path / \\\"SKILL.md\\\"\\n 902| break\\n 903| elif direct_path.with_suffix(\\\".md\\\").exists():\\n 904| skill_md = direct_path.with_suffix(\\\".md\\\")\\n 905| break\\n 906|\\n 907| # Search by directory name across all dirs\\n 908| if not skill_md:\\n 909| for search_dir in all_dirs:\\n 910| for found_skill_md in search_dir.rglob(\\\"SKILL.md\\\"):\\n 911| if found_skill_md.parent.name == name:\\n 912| skill_dir = found_skill_md.parent\\n 913| skill_md = found_skill_md\\n 914| break\\n 915| if skill_md:\\n 916| break\\n 917|\\n 918| # Legacy: flat .md files\\n 919| if not skill_md:\\n 920| for search_dir in all_dirs:\\n 921| for found_md in search_dir.rglob(f\\\"{name}.md\\\"):\\n 922| if found_md.name != \\\"SKILL.md\\\":\\n 923| skill_md = found_md\\n 924| break\\n 925| if skill_md:\\n 926| break\\n 927|\\n 928| if not skill_md or not skill_md.exists():\\n 929| available = [s[\\\"name\\\"] for s in _find_all_skills()[:20]]\\n 930| return json.dumps(\\n 931| {\\n 932| \\\"success\\\": False,\\n 933| \\\"error\\\": f\\\"Skill '{name}' not found.\\\",\\n 934| \\\"available_skills\\\": available,\\n 935| \\\"hint\\\": \\\"Use skills_list to see all available skills\\\",\\n 936| },\\n 937| ensure_ascii=False,\\n 938| )\\n 939|\\n 940| # Read the file once — reused for platform check and main content below\\n 941| try:\\n 942| content = skill_md.read_text(encoding=\\\"utf-8\\\")\\n 943| except Exception as e:\\n 944| return json.dumps(\\n 945| {\\n 946| \\\"success\\\": False,\\n 947| \\\"error\\\": f\\\"Failed to read skill '{name}': {e}\\\",\\n 948| },\\n 949| ensure_ascii=False,\\n 950| )\\n 951|\\n 952| # Security: warn if skill is loaded from outside trusted directories\\n 953| # (local skills dir + configured external_dirs are all trusted)\\n 954| _outside_skills_dir = True\\n 955| _trusted_dirs = [SKILLS_DIR.resolve()]\\n 956| try:\\n 957| _trusted_dirs.extend(d.resolve() for d in all_dirs[1:])\\n 958| except Exception:\\n 959| pass\\n 960| for _td in _trusted_dirs:\\n 961| try:\\n 962| skill_md.resolve().relative_to(_td)\\n 963| _outside_skills_dir = False\\n 964| break\\n 965| except ValueError:\\n 966| continue\\n 967|\\n 968| # Security: detect common prompt injection patterns\\n 969| # (pattern list at module level as _INJECTION_PATTERNS)\\n 970| _content_lower = content.lower()\\n 971| _injection_detected = any(p in _content_lower for p in _INJECTION_PATTERNS)\\n 972|\\n 973| if _outside_skills_dir or _injection_detected:\\n 974| _warnings = []\\n 975| if _outside_skills_dir:\\n 976| _warnings.append(f\\\"skill file is outside the trusted skills directory (~/.hermes/skills/): {skill_md}\\\")\\n 977| if _injection_detected:\\n 978| _warnings.append(\\\"skill content contains patterns that may indicate prompt injection\\\")\\n 979| import logging as _logging\\n 980| _logging.getLogger(__name__).warning(\\\"Skill security warning for '%s': %s\\\", name, \\\"; \\\".join(_warnings))\\n 981|\\n 982| parsed_frontmatter: Dict[str, Any] = {}\\n 983| try:\\n 984| parsed_frontmatter, _ = _parse_frontmatter(content)\\n 985| except Exception:\\n 986| parsed_frontmatter = {}\\n 987|\\n 988| if not skill_matches_platform(parsed_frontmatter):\\n 989| return json.dumps(\\n 990| {\\n 991| \\\"success\\\": False,\\n 992| \\\"error\\\": f\\\"Skill '{name}' is not supported on this platform.\\\",\\n 993| \\\"readiness_status\\\": SkillReadinessStatus.UNSUPPORTED.value,\\n 994| },\\n 995| ensure_ascii=False,\\n 996| )\\n 997|\\n 998| # Check if the skill is disabled by the user\\n 999| resolved_name = parsed_frontmatter.get(\\\"name\\\", skill_md.parent.name)\\n 1000| if _is_skill_disabled(resolved_name):\\n 1001|\", \"total_lines\": 1419, \"file_size\": 51465, \"truncated\": true, \"hint\": \"Use offset=1001 to continue reading (showing 501-1000 of 1419 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "chatcmpl-tool-9dce544100d3be9a" }, { "role": "assistant", "content": "", "reasoning": "We need to call the skills_list tool. However, the tool is not directly available. But we saw that the function `skills_list` is defined in `/opt/hermes/tools/skills_tool.py`. The tools we have are patch, read_file, search_files, write_file. There is no direct tool to call skills_list. However, perhaps we can import the module and call it? But we don't have a tool for executing arbitrary Python code.\n\nWait, the task says: \"Call the skills_list tool and write the JSON output to /tmp/skills.json\". It implies that there is a tool named skills_list. But we searched and found it's not in the available tools list. However, the system might have a tool called skills_list that is not listed in the tools we have? The available tools we saw are patch, read_file, search_files, write_file. Maybe we missed it? Let's double-check by searching for \"skills_list\" in the tool definitions? We can't.\n\nAlternatively, maybe we can use the agent's own tool calling? But as an AI, we can only use the provided tools. Perhaps the skills_list tool is actually available but not shown in the initial list? Let's try to call it anyway using the tool calling syntax? The system might recognize it.\n\nWe can try to invoke skills_list as a tool. Let's attempt:\n\n", "finish_reason": "tool_calls", "reasoning_content": "We need to call the skills_list tool. However, the tool is not directly available. But we saw that the function `skills_list` is defined in `/opt/hermes/tools/skills_tool.py`. The tools we have are patch, read_file, search_files, write_file. There is no direct tool to call skills_list. However, perhaps we can import the module and call it? But we don't have a tool for executing arbitrary Python code.\n\nWait, the task says: \"Call the skills_list tool and write the JSON output to /tmp/skills.json\". It implies that there is a tool named skills_list. But we searched and found it's not in the available tools list. However, the system might have a tool called skills_list that is not listed in the tools we have? The available tools we saw are patch, read_file, search_files, write_file. Maybe we missed it? Let's double-check by searching for \"skills_list\" in the tool definitions? We can't.\n\nAlternatively, maybe we can use the agent's own tool calling? But as an AI, we can only use the provided tools. Perhaps the skills_list tool is actually available but not shown in the initial list? Let's try to call it anyway using the tool calling syntax? The system might recognize it.\n\nWe can try to invoke skills_list as a tool. Let's attempt:\n\n", "tool_calls": [ { "id": "chatcmpl-tool-aeb1b83c055d2537", "call_id": "chatcmpl-tool-aeb1b83c055d2537", "response_item_id": "fc_chatcmpl-tool-aeb1b83c055d2537", "type": "function", "function": { "name": "skills_list", "arguments": "{}" } } ] }, { "role": "tool", "tool_call_id": "chatcmpl-tool-aeb1b83c055d2537", "content": "Tool 'skills_list' does not exist. Available tools: patch, read_file, search_files, write_file" }, { "role": "assistant", "content": "", "reasoning": "We need to call the skills_list tool, but the system says it's not available as a tool. However, the function is defined in the skills_tool.py file. We can call it by importing? But we cannot execute arbitrary Python code directly. However, we can perhaps invoke the function via the tool registry? The tools available are patch, read_file, search_files, write_file. There's no direct way to call skills_list.\n\nBut maybe the skills_list tool is actually a tool that can be invoked via the \"tools\" namespace? The description says we have access to certain functions, and skills_list is not among them. However, the task says \"Call the skills_list tool\". Possibly we need to invoke it via the tool system, but it's not exposed. Maybe we need to load the skill first? The context mentions if the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill. But this is about calling skills_list.\n\nAlternatively, maybe we can call skills_list by using the \"patch\" tool to modify something? No.\n\nWait: The system might have a tool called \"skills_list\" but it's not listed in the tools because the tools list is dynamic? The available tools listed are patch, read_file, search_files, write_file. That's it.\n\nPerhaps we need to call the function via the agent's internal tool invocation, but we as the assistant can only use the provided tools. However, we can simulate calling skills_list by reading the output of the function? But we need to actually call it to get the JSON output.\n\nMaybe we can import the module and call it using Python? We could write a small script that imports the skills_tool and calls skills_list, then write the output to /tmp/skills.json. We can do that by writing a Python script to a file and then executing it? But we don't have an execute tool. We only have patch, read, search, write.\n\nWe could write a Python script to /tmp/call_skills.py and then maybe the system will automatically run it? Not likely.\n\nAlternatively, maybe the skills_list tool is actually accessible via the \"tools\" namespace in the assistant's tool set, but the list we saw is incomplete? The initial system message says \"You have access to the following functions:\" and lists those four. So likely we cannot directly call skills_list.\n\nBut the task is from the user: \"Call the skills_list tool and write the JSON output to /tmp/skills.json\". Perhaps we need to use the \"write_file\" tool to write the output of skills_list, but we need to get that output somehow.\n\nMaybe we can invoke skills_list by using the \"agent\" skill? There is a skill_commands.py that might have a command to list skills. But we don't have an execute tool.\n\nWait: The system might allow us to invoke tools by name via a special mechanism? In the agent system, when you call a tool, you just use the function call syntax. The tools listed are the ones we can call. Since skills_list is not listed, we cannot call it.\n\nPerhaps we need to load the hermes-agent skill first, which might expose the skills_list tool? The instruction: \"If the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering.\" This is about configuring Hermes Agent, not about calling skills_list.\n\nBut maybe the skills_list tool is part of the hermes-agent skill? Let's check: The hermes-agent skill might be a skill that provides the skills_list tool? However, the tools we have are generic.\n\nLet's think differently: Maybe we can call skills_list by using the \"patch\" tool to modify the skills_tool.py to expose it? That seems overkill.\n\nAlternatively, perhaps the system expects us to use the \"read_file\" tool to read the output of skills_list from somewhere? But we need to generate it.\n\nWait: The skills_list function returns a JSON string. We could potentially call it by using the agent's internal tool invocation if we pretend to be the agent? But we are the agent.\n\nActually, as the Hermes Agent, we have access to the tools listed. The skills_list is a tool that is defined in the skills_tool.py module, and it is likely registered in the tool registry. The tools we have access to are those in the registry. The list we saw might be incomplete because the registry includes more tools. Let's check the tools/registry maybe? We can search for \"skills_list\" in the registry.\n\nLet's search for \"skills_list\" in the codebase to see how it's registered.\n", "finish_reason": "tool_calls", "reasoning_content": "We need to call the skills_list tool, but the system says it's not available as a tool. However, the function is defined in the skills_tool.py file. We can call it by importing? But we cannot execute arbitrary Python code directly. However, we can perhaps invoke the function via the tool registry? The tools available are patch, read_file, search_files, write_file. There's no direct way to call skills_list.\n\nBut maybe the skills_list tool is actually a tool that can be invoked via the \"tools\" namespace? The description says we have access to certain functions, and skills_list is not among them. However, the task says \"Call the skills_list tool\". Possibly we need to invoke it via the tool system, but it's not exposed. Maybe we need to load the skill first? The context mentions if the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill. But this is about calling skills_list.\n\nAlternatively, maybe we can call skills_list by using the \"patch\" tool to modify something? No.\n\nWait: The system might have a tool called \"skills_list\" but it's not listed in the tools because the tools list is dynamic? The available tools listed are patch, read_file, search_files, write_file. That's it.\n\nPerhaps we need to call the function via the agent's internal tool invocation, but we as the assistant can only use the provided tools. However, we can simulate calling skills_list by reading the output of the function? But we need to actually call it to get the JSON output.\n\nMaybe we can import the module and call it using Python? We could write a small script that imports the skills_tool and calls skills_list, then write the output to /tmp/skills.json. We can do that by writing a Python script to a file and then executing it? But we don't have an execute tool. We only have patch, read, search, write.\n\nWe could write a Python script to /tmp/call_skills.py and then maybe the system will automatically run it? Not likely.\n\nAlternatively, maybe the skills_list tool is actually accessible via the \"tools\" namespace in the assistant's tool set, but the list we saw is incomplete? The initial system message says \"You have access to the following functions:\" and lists those four. So likely we cannot directly call skills_list.\n\nBut the task is from the user: \"Call the skills_list tool and write the JSON output to /tmp/skills.json\". Perhaps we need to use the \"write_file\" tool to write the output of skills_list, but we need to get that output somehow.\n\nMaybe we can invoke skills_list by using the \"agent\" skill? There is a skill_commands.py that might have a command to list skills. But we don't have an execute tool.\n\nWait: The system might allow us to invoke tools by name via a special mechanism? In the agent system, when you call a tool, you just use the function call syntax. The tools listed are the ones we can call. Since skills_list is not listed, we cannot call it.\n\nPerhaps we need to load the hermes-agent skill first, which might expose the skills_list tool? The instruction: \"If the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering.\" This is about configuring Hermes Agent, not about calling skills_list.\n\nBut maybe the skills_list tool is part of the hermes-agent skill? Let's check: The hermes-agent skill might be a skill that provides the skills_list tool? However, the tools we have are generic.\n\nLet's think differently: Maybe we can call skills_list by using the \"patch\" tool to modify the skills_tool.py to expose it? That seems overkill.\n\nAlternatively, perhaps the system expects us to use the \"read_file\" tool to read the output of skills_list from somewhere? But we need to generate it.\n\nWait: The skills_list function returns a JSON string. We could potentially call it by using the agent's internal tool invocation if we pretend to be the agent? But we are the agent.\n\nActually, as the Hermes Agent, we have access to the tools listed. The skills_list is a tool that is defined in the skills_tool.py module, and it is likely registered in the tool registry. The tools we have access to are those in the registry. The list we saw might be incomplete because the registry includes more tools. Let's check the tools/registry maybe? We can search for \"skills_list\" in the registry.\n\nLet's search for \"skills_list\" in the codebase to see how it's registered.\n", "tool_calls": [ { "id": "chatcmpl-tool-81e48f857482d1d5", "call_id": "chatcmpl-tool-81e48f857482d1d5", "response_item_id": "fc_chatcmpl-tool-81e48f857482d1d5", "type": "function", "function": { "name": "search_files", "arguments": "{\"pattern\": \"skills_list\", \"target\": \"content\", \"path\": \"/opt/hermes\"}" } } ] }, { "role": "tool", "content": "{\"total_count\": 48, \"matches\": [{\"path\": \"/opt/hermes/agent/display.py\", \"line\": 187, \"content\": \" \\\"skill_view\\\": \\\"name\\\", \\\"skills_list\\\": \\\"category\\\",\"}, {\"path\": \"/opt/hermes/agent/display.py\", \"line\": 907, \"content\": \" if tool_name == \\\"skills_list\\\":\"}, {\"path\": \"/opt/hermes/agent/context_compressor.py\", \"line\": 146, \"content\": \" if tool_name in (\\\"skill_view\\\", \\\"skills_list\\\", \\\"skill_manage\\\"):\"}, {\"path\": \"/opt/hermes/cli-config.yaml.example\", \"line\": 584, \"content\": \"# skills - skills_list, skill_view\"}, {\"path\": \"/opt/hermes/cli-config.yaml.example\", \"line\": 612, \"content\": \"# skills - Load skill documents (skills_list, skill_view)\"}, {\"path\": \"/opt/hermes/website/docs/reference/toolsets-reference.md\", \"line\": 69, \"content\": \"| `skills` | `skill_manage`, `skill_view`, `skills_list` | Skill CRUD and browsing. |\"}, {\"path\": \"/opt/hermes/website/docs/reference/tools-reference.md\", \"line\": 129, \"content\": \"| `skills_list` | List available skills (name + description). Use skill_view(name) to load full content. | — |\"}, {\"path\": \"/opt/hermes/website/docs/developer-guide/creating-skills.md\", \"line\": 106, \"content\": \"When set, the skill is automatically hidden from the system prompt, `skills_list()`, and slash commands on incompatible platforms. If omitted or empty, the skill loads on all platforms (backward compatible).\"}, {\"path\": \"/opt/hermes/website/docs/guides/work-with-skills.md\", \"line\": 79, \"content\": \"1. **`skills_list()`** — compact list of all skills (~3k tokens). Loaded at session start.\"}, {\"path\": \"/opt/hermes/website/docs/guides/work-with-skills.md\", \"line\": 101, \"content\": \"2. It appears in your `skills_list` output\"}, {\"path\": \"/opt/hermes/website/docs/guides/work-with-skills.md\", \"line\": 132, \"content\": \"Plugin skills are **not** listed in the system prompt and don't appear in `skills_list`. They're opt-in — load them explicitly when you know a plugin provides one. When loaded, the agent sees a banner listing sibling skills from the same plugin.\"}, {\"path\": \"/opt/hermes/website/docs/user-guide/features/skills.md\", \"line\": 49, \"content\": \"Level 0: skills_list() → [{name, description, category}, ...] (~3k tokens)\"}, {\"path\": \"/opt/hermes/website/docs/user-guide/features/skills.md\", \"line\": 108, \"content\": \"When set, the skill is automatically hidden from the system prompt, `skills_list()`, and slash commands on incompatible platforms. If omitted, the skill loads on all platforms.\"}, {\"path\": \"/opt/hermes/website/docs/user-guide/features/skills.md\", \"line\": 212, \"content\": \"- **Full integration**: External skills appear in the system prompt index, `skills_list`, `skill_view`, and as `/skill-name` slash commands — no different from local skills.\"}, {\"path\": \"/opt/hermes/tests/run_agent/test_run_agent.py\", \"line\": 677, \"content\": \" tools = _make_tool_defs(\\\"web_search\\\", \\\"skills_list\\\", \\\"skill_view\\\", \\\"skill_manage\\\")\"}, {\"path\": \"/opt/hermes/tests/run_agent/test_run_agent.py\", \"line\": 680, \"content\": \" \\\"skills_list\\\": \\\"skills\\\",\"}, {\"path\": \"/opt/hermes/tests/hermes_cli/test_web_server.py\", \"line\": 544, \"content\": \" def test_skills_list(self):\"}, {\"path\": \"/opt/hermes/tests/hermes_cli/test_web_server.py\", \"line\": 553, \"content\": \" def test_skills_list_includes_disabled_skills(self, monkeypatch):\"}, {\"path\": \"/opt/hermes/tests/hermes_cli/test_web_server.py\", \"line\": 629, \"content\": \" \\\"skills\\\": [\\\"skills_list\\\", \\\"skill_view\\\"],\"}, {\"path\": \"/opt/hermes/tests/hermes_cli/test_web_server.py\", \"line\": 655, \"content\": \" \\\"tools\\\": [\\\"skill_view\\\", \\\"skills_list\\\"],\"}, {\"path\": \"/opt/hermes/tests/tools/test_skills_tool.py\", \"line\": 18, \"content\": \" skills_list,\"}, {\"path\": \"/opt/hermes/tests/tools/test_skills_tool.py\", \"line\": 260, \"content\": \"# skills_list\"}, {\"path\": \"/opt/hermes/tests/tools/test_skills_tool.py\", \"line\": 268, \"content\": \" raw = skills_list()\"}, {\"path\": \"/opt/hermes/tests/tools/test_skills_tool.py\", \"line\": 278, \"content\": \" raw = skills_list()\"}, {\"path\": \"/opt/hermes/tests/tools/test_skills_tool.py\", \"line\": 286, \"content\": \" raw = skills_list(category=\\\"devops\\\")\"}, {\"path\": \"/opt/hermes/model_tools.py\", \"line\": 172, \"content\": \" \\\"skills_tools\\\": [\\\"skills_list\\\", \\\"skill_view\\\", \\\"skill_manage\\\"],\"}, {\"path\": \"/opt/hermes/tools/skill_manager_tool.py\", \"line\": 361, \"content\": \" return {\\\"success\\\": False, \\\"error\\\": f\\\"Skill '{name}' not found. Use skills_list() to see available skills.\\\"}\"}, {\"path\": \"/opt/hermes/tools/file_tools.py\", \"line\": 324, \"content\": \" \\\"Use the skills_list or skill_view tools instead.\\\"\"}, {\"path\": \"/opt/hermes/tools/skills_tool.py\", \"line\": 10, \"content\": \"- Metadata (name ≤64 chars, description ≤1024 chars) - shown in skills_list\"}, {\"path\": \"/opt/hermes/tools/skills_tool.py\", \"line\": 53, \"content\": \"- skills_list: List skills with metadata (progressive disclosure tier 1)\"}, {\"path\": \"/opt/hermes/tools/skills_tool.py\", \"line\": 57, \"content\": \" from tools.skills_tool import skills_list, skill_view, check_skills_requirements\"}, {\"path\": \"/opt/hermes/tools/skills_tool.py\", \"line\": 60, \"content\": \" result = skills_list()\"}, {\"path\": \"/opt/hermes/tools/skills_tool.py\", \"line\": 647, \"content\": \"def skills_list(category: str = None, task_id: str = None) -> str:\"}, {\"path\": \"/opt/hermes/tools/skills_tool.py\", \"line\": 935, \"content\": \" \\\"hint\\\": \\\"Use skills_list to see all available skills\\\",\"}, {\"path\": \"/opt/hermes/tools/skills_tool.py\", \"line\": 1326, \"content\": \" result = json.loads(skills_list())\"}, {\"path\": \"/opt/hermes/tools/skills_tool.py\", \"line\": 1367, \"content\": \" \\\"name\\\": \\\"skills_list\\\",\"}, {\"path\": \"/opt/hermes/tools/skills_tool.py\", \"line\": 1389, \"content\": \" \\\"description\\\": \\\"The skill name (use skills_list to see available skills). For plugin-provided skills, use the qualified form 'plugin:skill' (e.g. 'superpowers:writing-plans').\\\",\"}, {\"path\": \"/opt/hermes/tools/skills_tool.py\", \"line\": 1401, \"content\": \" name=\\\"skills_list\\\",\"}, {\"path\": \"/opt/hermes/tools/skills_tool.py\", \"line\": 1404, \"content\": \" handler=lambda args, **kw: skills_list(\"}, {\"path\": \"/opt/hermes/hermes_cli/main.py\", \"line\": 5237, \"content\": \" skills_list = skills_subparsers.add_parser(\\\"list\\\", help=\\\"List installed skills\\\")\"}, {\"path\": \"/opt/hermes/hermes_cli/main.py\", \"line\": 5238, \"content\": \" skills_list.add_argument(\\\"--source\\\", default=\\\"all\\\", choices=[\\\"all\\\", \\\"hub\\\", \\\"builtin\\\", \\\"local\\\"])\"}, {\"path\": \"/opt/hermes/environments/tool_context.py\", \"line\": 428, \"content\": \" tool_name: Name of the tool (e.g., \\\"vision_analyze\\\", \\\"skills_list\\\")\"}, {\"path\": \"/opt/hermes/run_agent.py\", \"line\": 227, \"content\": \" \\\"skills_list\\\",\"}, {\"path\": \"/opt/hermes/run_agent.py\", \"line\": 3250, \"content\": \" has_skills_tools = any(name in self.valid_tool_names for name in ['skills_list', 'skill_view', 'skill_manage'])\"}, {\"path\": \"/opt/hermes/toolsets.py\", \"line\": 41, \"content\": \" \\\"skills_list\\\", \\\"skill_view\\\", \\\"skill_manage\\\",\"}, {\"path\": \"/opt/hermes/toolsets.py\", \"line\": 108, \"content\": \" \\\"tools\\\": [\\\"skills_list\\\", \\\"skill_view\\\", \\\"skill_manage\\\"],\"}, {\"path\": \"/opt/hermes/toolsets.py\", \"line\": 233, \"content\": \" \\\"skills_list\\\", \\\"skill_view\\\", \\\"skill_manage\\\",\"}, {\"path\": \"/opt/hermes/toolsets.py\", \"line\": 257, \"content\": \" \\\"skills_list\\\", \\\"skill_view\\\", \\\"skill_manage\\\",\"}]}", "tool_call_id": "chatcmpl-tool-81e48f857482d1d5" }, { "role": "assistant", "content": "", "reasoning": "We need to actually call the skills_list tool. It seems that the tool is not directly available as a function, but it is defined in the skills_tool.py module. The agent can import it? However, the available tools are only patch, read_file, search_files, write_file. There is no direct way to call skills_list as a tool. But the task says \"Call the skills_list tool and write the JSON output to /tmp/skills.json\". Perhaps we can call it via the agent's internal tool registry? The agent might have a way to invoke tools by name. Looking at the tools list, there is no tool named skills_list. However, the agent might be able to call it via the tool registry if it's registered. The display.py lines show that skills_list is a tool name in the agent's tool definitions. Possibly the agent can invoke it via a mechanism not exposed to us? But we are the agent, and we have access to the tools listed. The skills_list function is defined in the skills_tool.py module, but we cannot directly call it because we don't have a tool to execute arbitrary Python code. However, we could read the file and then maybe we can simulate? But the task likely expects us to use the skills_list tool that is available to the agent. Since we are the agent, we should be able to call it. But the tool list we were given at the start of the conversation only includes patch, read_file, search_files, write_file. That might be because the agent is currently in a mode where only those tools are available? However, the task description says \"Call the skills_list tool\". Perhaps we need to load the skills tool first? There is a skill called \"hermes-agent\" but that's for configuring Hermes Agent itself. Not relevant.\n\nMaybe we can call skills_list by using the agent's tool invocation mechanism via the write_file? No.\n\nWait, the agent might have a built-in ability to call any tool by name, but the tools we are given are only the ones we can use in this conversation. However, the skills_list tool might be available as a function that we can call directly? In the initial system message, it says \"You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools.\" And then it lists the tools we have. So we only have those four tools. So how can we call skills_list? Perhaps we need to write a small script that uses the skills_tool module and then run it? But we don't have a tool to execute Python code.\n\nAlternatively, maybe the skills_list tool is actually available but not listed because it's a \"skill\" tool? The tools we have are the \"agent\" tools. The skills_list is a skill tool, but maybe we can invoke it via the agent's tool registry by using the \"tool\" namespace? Not sure.\n\nLet's look at the agent/display.py lines: they show that skills_list is a tool that takes a parameter \"category\". So it's definitely a tool that the agent can call.\n\nMaybe we need to use the \"patch\" tool to modify something? No.\n\nPerhaps we can call skills_list by writing a request to a file and then reading the output? Not likely.\n\nGiven the context, maybe the agent can call skills_list by invoking it as a function because it's defined in the agent's code? But we as the agent are the language model, not the code. However, the agent has access to the tool registry. The tools we have are the ones we can invoke. Since skills_list is not in our tool list, we cannot call it.\n\nBut the task is given to us, so maybe we are expected to use the skills_list tool that is available. Possibly the tool list we were given is incomplete? Let's check if there is a tool called \"skills_list\" in the tool registry by looking at the agent's code? We can search for where tools are defined.\n\nLet's search for \"skills_list\" in the agent directory to see how it's registered.\n\nWe'll use search_files to look for the pattern \"skills_list\" in the agent directory.\n\n", "finish_reason": "tool_calls", "reasoning_content": "We need to actually call the skills_list tool. It seems that the tool is not directly available as a function, but it is defined in the skills_tool.py module. The agent can import it? However, the available tools are only patch, read_file, search_files, write_file. There is no direct way to call skills_list as a tool. But the task says \"Call the skills_list tool and write the JSON output to /tmp/skills.json\". Perhaps we can call it via the agent's internal tool registry? The agent might have a way to invoke tools by name. Looking at the tools list, there is no tool named skills_list. However, the agent might be able to call it via the tool registry if it's registered. The display.py lines show that skills_list is a tool name in the agent's tool definitions. Possibly the agent can invoke it via a mechanism not exposed to us? But we are the agent, and we have access to the tools listed. The skills_list function is defined in the skills_tool.py module, but we cannot directly call it because we don't have a tool to execute arbitrary Python code. However, we could read the file and then maybe we can simulate? But the task likely expects us to use the skills_list tool that is available to the agent. Since we are the agent, we should be able to call it. But the tool list we were given at the start of the conversation only includes patch, read_file, search_files, write_file. That might be because the agent is currently in a mode where only those tools are available? However, the task description says \"Call the skills_list tool\". Perhaps we need to load the skills tool first? There is a skill called \"hermes-agent\" but that's for configuring Hermes Agent itself. Not relevant.\n\nMaybe we can call skills_list by using the agent's tool invocation mechanism via the write_file? No.\n\nWait, the agent might have a built-in ability to call any tool by name, but the tools we are given are only the ones we can use in this conversation. However, the skills_list tool might be available as a function that we can call directly? In the initial system message, it says \"You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools.\" And then it lists the tools we have. So we only have those four tools. So how can we call skills_list? Perhaps we need to write a small script that uses the skills_tool module and then run it? But we don't have a tool to execute Python code.\n\nAlternatively, maybe the skills_list tool is actually available but not listed because it's a \"skill\" tool? The tools we have are the \"agent\" tools. The skills_list is a skill tool, but maybe we can invoke it via the agent's tool registry by using the \"tool\" namespace? Not sure.\n\nLet's look at the agent/display.py lines: they show that skills_list is a tool that takes a parameter \"category\". So it's definitely a tool that the agent can call.\n\nMaybe we need to use the \"patch\" tool to modify something? No.\n\nPerhaps we can call skills_list by writing a request to a file and then reading the output? Not likely.\n\nGiven the context, maybe the agent can call skills_list by invoking it as a function because it's defined in the agent's code? But we as the agent are the language model, not the code. However, the agent has access to the tool registry. The tools we have are the ones we can invoke. Since skills_list is not in our tool list, we cannot call it.\n\nBut the task is given to us, so maybe we are expected to use the skills_list tool that is available. Possibly the tool list we were given is incomplete? Let's check if there is a tool called \"skills_list\" in the tool registry by looking at the agent's code? We can search for where tools are defined.\n\nLet's search for \"skills_list\" in the agent directory to see how it's registered.\n\nWe'll use search_files to look for the pattern \"skills_list\" in the agent directory.\n\n", "tool_calls": [ { "id": "chatcmpl-tool-bd475082982d9f84", "call_id": "chatcmpl-tool-bd475082982d9f84", "response_item_id": "fc_chatcmpl-tool-bd475082982d9f84", "type": "function", "function": { "name": "search_files", "arguments": "{\"path\": \"/opt/hermes/agent\", \"pattern\": \"skills_list\", \"target\": \"content\"}" } } ] }, { "role": "tool", "content": "{\"total_count\": 3, \"matches\": [{\"path\": \"/opt/hermes/agent/display.py\", \"line\": 187, \"content\": \" \\\"skill_view\\\": \\\"name\\\", \\\"skills_list\\\": \\\"category\\\",\"}, {\"path\": \"/opt/hermes/agent/display.py\", \"line\": 907, \"content\": \" if tool_name == \\\"skills_list\\\":\"}, {\"path\": \"/opt/hermes/agent/context_compressor.py\", \"line\": 146, \"content\": \" if tool_name in (\\\"skill_view\\\", \\\"skills_list\\\", \\\"skill_manage\\\"):\"}]}", "tool_call_id": "chatcmpl-tool-bd475082982d9f84" }, { "role": "assistant", "content": "", "reasoning": "We need to call the skills_list tool. It appears that skills_list is defined in /opt/hermes/tools/skills_tool.py. However, the system says that the tool 'skills_list' does not exist. Perhaps we need to import it or call it via the tools registry? But the available tools are only patch, read_file, search_files, write_file. However, the task says to call the skills_list tool and write the JSON output to /tmp/skills.json.\n\nWe might need to use the skills_tool module directly? But we are limited to the given tools. Perhaps we can call the function by using the tool registry? There is a tool called \"skills_list\" that is registered in the system, but the assistant doesn't have direct access to it? The assistant's available tools are listed: patch, read_file, search_files, write_file. So we cannot call skills_list directly as a tool.\n\nBut the task says: \"Call the skills_list tool and write the JSON output to /tmp/skills.json\". Maybe we are supposed to use the skills_list function from the skills_tool module by invoking it via some other means? Alternatively, we can write a small script that uses the skills_list function and then write the output.\n\nWe have the ability to write files and read files. We could write a Python script that imports the skills_list function from the tools.skills_tool module and then calls it, capturing the output, and then write that to /tmp/skills.json.\n\nLet's check if we can import modules. We can write a Python script and run it? But we don't have an execute tool. However, we can use the write_file tool to create a script and then maybe we can use the patch tool? No.\n\nAlternatively, we can use the existing tool registry? The assistant might have access to a tool called \"skills_list\" but it's not listed in the available tools? The earlier attempt to call skills_list returned \"Tool 'skills_list' does not exist.\" So maybe we need to load the skill first? The context says: \"If the user asks about configuring, setting up, or using Hermes Agent itself, load the hermes-agent skill with skill_view(name='hermes-agent') before answering.\" But this is not about configuring Hermes Agent.\n\nWait, maybe the skills_list tool is available but we need to invoke it via the agent's tool system? The assistant is a subagent working on a delegated task. The subagent might have access to the same tools as the main agent? The available tools listed are patch, read_file, search_files, write_file. So perhaps we cannot call skills_list directly.\n\nBut we can still get the list of skills by reading the skills directory and parsing the SKILL.md files ourselves? That would be reinventing the wheel but we can do it.\n\nAlternatively, we can use the skills_list function by importing it in a Python script and then executing the script using the system? We don't have an execute tool.\n\nMaybe we can use the write_file tool to create a JSON file by directly writing the output of skills_list by copying the function's logic? That seems too heavy.\n\nLet's look at the skills_tool.py file to see how skills_list works. We already saw the function. It returns a JSON string. We can replicate the logic in a simpler way: we just need to list skills in ~/.hermes/skills/ (or /opt/hermes/skills? Actually, the HERMES_HOME is determined by get_hermes_home(). We can check what that is.\n\nWe can read the environment or maybe we can assume the skills are in /opt/hermes/skills? Let's check.\n\nWe can search for the skills directory.\n\nLet's do:\n\n", "finish_reason": "tool_calls", "reasoning_content": "We need to call the skills_list tool. It appears that skills_list is defined in /opt/hermes/tools/skills_tool.py. However, the system says that the tool 'skills_list' does not exist. Perhaps we need to import it or call it via the tools registry? But the available tools are only patch, read_file, search_files, write_file. However, the task says to call the skills_list tool and write the JSON output to /tmp/skills.json.\n\nWe might need to use the skills_tool module directly? But we are limited to the given tools. Perhaps we can call the function by using the tool registry? There is a tool called \"skills_list\" that is registered in the system, but the assistant doesn't have direct access to it? The assistant's available tools are listed: patch, read_file, search_files, write_file. So we cannot call skills_list directly as a tool.\n\nBut the task says: \"Call the skills_list tool and write the JSON output to /tmp/skills.json\". Maybe we are supposed to use the skills_list function from the skills_tool module by invoking it via some other means? Alternatively, we can write a small script that uses the skills_list function and then write the output.\n\nWe have the ability to write files and read files. We could write a Python script that imports the skills_list function from the tools.skills_tool module and then calls it, capturing the output, and then write that to /tmp/skills.json.\n\nLet's check if we can import modules. We can write a Python script and run it? But we don't have an execute tool. However, we can use the write_file tool to create a script and then maybe we can use the patch tool? No.\n\nAlternatively, we can use the existing tool registry? The assistant might have access to a tool called \"skills_list\" but it's not listed in the available tools? The earlier attempt to call skills_list returned \"Tool 'skills_list' does not exist.\" So maybe we need to load the skill first? The context says: \"If the user asks about configuring, setting up, or using Hermes Agent itself, load the hermes-agent skill with skill_view(name='hermes-agent') before answering.\" But this is not about configuring Hermes Agent.\n\nWait, maybe the skills_list tool is available but we need to invoke it via the agent's tool system? The assistant is a subagent working on a delegated task. The subagent might have access to the same tools as the main agent? The available tools listed are patch, read_file, search_files, write_file. So perhaps we cannot call skills_list directly.\n\nBut we can still get the list of skills by reading the skills directory and parsing the SKILL.md files ourselves? That would be reinventing the wheel but we can do it.\n\nAlternatively, we can use the skills_list function by importing it in a Python script and then executing the script using the system? We don't have an execute tool.\n\nMaybe we can use the write_file tool to create a JSON file by directly writing the output of skills_list by copying the function's logic? That seems too heavy.\n\nLet's look at the skills_tool.py file to see how skills_list works. We already saw the function. It returns a JSON string. We can replicate the logic in a simpler way: we just need to list skills in ~/.hermes/skills/ (or /opt/hermes/skills? Actually, the HERMES_HOME is determined by get_hermes_home(). We can check what that is.\n\nWe can read the environment or maybe we can assume the skills are in /opt/hermes/skills? Let's check.\n\nWe can search for the skills directory.\n\nLet's do:\n\n", "tool_calls": [ { "id": "chatcmpl-tool-91bc185d3ec175db", "call_id": "chatcmpl-tool-91bc185d3ec175db", "response_item_id": "fc_chatcmpl-tool-91bc185d3ec175db", "type": "function", "function": { "name": "search_files", "arguments": "{\"path\": \"/opt/hermes\", \"pattern\": \"skills\", \"target\": \"files\"}" } } ] }, { "role": "tool", "content": "{\"total_count\": 0}", "tool_call_id": "chatcmpl-tool-91bc185d3ec175db" }, { "role": "assistant", "content": "", "reasoning": "We need to list the skills directory. The skill listing function is in skills_tool.py but we need to call it. However, the tools we have are limited to patch, read_file, search_files, write_file. There's no direct way to invoke the skills_list function. However, maybe we can read the skills directory directly and produce the JSON ourselves? The task says: \"Call the skills_list tool and write the JSON output to /tmp/skills.json\". But the skills_list tool is not among the available tools. However, the context says we have a tool called skills_list? Actually, the initial system message says we have access to tools: patch, read_file, search_files, write_file. No skills_list. But the user says \"Call the skills_list tool\". Possibly they expect us to use the function from the skills_tool module? But we cannot call arbitrary Python functions; we only have the tools provided.\n\nMaybe we can use the agent's display or something? Actually, the agent might have a way to invoke tools via the system? But we are limited to the given tools.\n\nWait: The initial system message says: \"You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below. Be targeted and efficient in your exploration and investigations.\n\nIf the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering. Docs: https://hermes-agent.nousresearch.com/docs\"\n\nBut we are a focused subagent working on a specific delegated task. The task: \"Call the skills_list tool and write the JSON output to /tmp/skills.json\". So we need to call the skills_list tool. However, the tools we have are patch, read_file, search_files, write_file. There is no skills_list tool. Perhaps the skills_list tool is available via the agent's tool set but not exposed in this subagent? The subagent may have access to the same tools as the main agent? The initial list of tools might be incomplete? Actually, the system message says \"You have access to the following functions:\" and lists patch, read_file, search_files, write_file. That's it.\n\nMaybe we can invoke the skills_list tool by using the agent's internal mechanism? But we cannot.\n\nAlternatively, maybe we can read the skills directory and construct the JSON ourselves, mimicking what skills_list does. That might be acceptable.\n\nLet's examine the skills directory: /opt/hermes/skills? Actually, the code shows HERMES_HOME = get_hermes_home() and SKILLS_DIR = HERMES_HOME / \"skills\". We need to know what HERMES_HOME is. We can try to get it from environment or from the hermes_constants module. But we can also look at the default: probably ~/.hermes. However, we are in /opt/hermes. The skills might be in /opt/hermes/skills? Let's check.\n\nWe can use search_files to find skills directory.\n\nLet's first look for SKILL.md files.\n\n", "finish_reason": "tool_calls", "reasoning_content": "We need to list the skills directory. The skill listing function is in skills_tool.py but we need to call it. However, the tools we have are limited to patch, read_file, search_files, write_file. There's no direct way to invoke the skills_list function. However, maybe we can read the skills directory directly and produce the JSON ourselves? The task says: \"Call the skills_list tool and write the JSON output to /tmp/skills.json\". But the skills_list tool is not among the available tools. However, the context says we have a tool called skills_list? Actually, the initial system message says we have access to tools: patch, read_file, search_files, write_file. No skills_list. But the user says \"Call the skills_list tool\". Possibly they expect us to use the function from the skills_tool module? But we cannot call arbitrary Python functions; we only have the tools provided.\n\nMaybe we can use the agent's display or something? Actually, the agent might have a way to invoke tools via the system? But we are limited to the given tools.\n\nWait: The initial system message says: \"You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below. Be targeted and efficient in your exploration and investigations.\n\nIf the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering. Docs: https://hermes-agent.nousresearch.com/docs\"\n\nBut we are a focused subagent working on a specific delegated task. The task: \"Call the skills_list tool and write the JSON output to /tmp/skills.json\". So we need to call the skills_list tool. However, the tools we have are patch, read_file, search_files, write_file. There is no skills_list tool. Perhaps the skills_list tool is available via the agent's tool set but not exposed in this subagent? The subagent may have access to the same tools as the main agent? The initial list of tools might be incomplete? Actually, the system message says \"You have access to the following functions:\" and lists patch, read_file, search_files, write_file. That's it.\n\nMaybe we can invoke the skills_list tool by using the agent's internal mechanism? But we cannot.\n\nAlternatively, maybe we can read the skills directory and construct the JSON ourselves, mimicking what skills_list does. That might be acceptable.\n\nLet's examine the skills directory: /opt/hermes/skills? Actually, the code shows HERMES_HOME = get_hermes_home() and SKILLS_DIR = HERMES_HOME / \"skills\". We need to know what HERMES_HOME is. We can try to get it from environment or from the hermes_constants module. But we can also look at the default: probably ~/.hermes. However, we are in /opt/hermes. The skills might be in /opt/hermes/skills? Let's check.\n\nWe can use search_files to find skills directory.\n\nLet's first look for SKILL.md files.\n\n", "tool_calls": [ { "id": "chatcmpl-tool-8c8046594ba850f6", "call_id": "chatcmpl-tool-8c8046594ba850f6", "response_item_id": "fc_chatcmpl-tool-8c8046594ba850f6", "type": "function", "function": { "name": "search_files", "arguments": "{\"path\": \"/opt/hermes\", \"pattern\": \"SKILL.md\", \"target\": \"files\"}" } } ] }, { "role": "tool", "content": "{\"total_count\": 50, \"files\": [\"/opt/hermes/node_modules/playwright-core/lib/tools/trace/SKILL.md\", \"/opt/hermes/node_modules/playwright-core/lib/tools/cli-client/skill/SKILL.md\", \"/opt/hermes/node_modules/agent-browser/skills/agent-browser/SKILL.md\", \"/opt/hermes/optional-skills/email/agentmail/SKILL.md\", \"/opt/hermes/optional-skills/research/parallel-cli/SKILL.md\", \"/opt/hermes/optional-skills/research/qmd/SKILL.md\", \"/opt/hermes/optional-skills/research/bioinformatics/SKILL.md\", \"/opt/hermes/optional-skills/research/scrapling/SKILL.md\", \"/opt/hermes/optional-skills/research/drug-discovery/SKILL.md\", \"/opt/hermes/optional-skills/research/gitnexus-explorer/SKILL.md\", \"/opt/hermes/optional-skills/research/duckduckgo-search/SKILL.md\", \"/opt/hermes/optional-skills/research/domain-intel/SKILL.md\", \"/opt/hermes/optional-skills/security/sherlock/SKILL.md\", \"/opt/hermes/optional-skills/security/1password/SKILL.md\", \"/opt/hermes/optional-skills/security/oss-forensics/SKILL.md\", \"/opt/hermes/optional-skills/creative/meme-generation/SKILL.md\", \"/opt/hermes/optional-skills/creative/blender-mcp/SKILL.md\", \"/opt/hermes/optional-skills/mlops/accelerate/SKILL.md\", \"/opt/hermes/optional-skills/mlops/torchtitan/SKILL.md\", \"/opt/hermes/optional-skills/mlops/slime/SKILL.md\", \"/opt/hermes/optional-skills/mlops/instructor/SKILL.md\", \"/opt/hermes/optional-skills/mlops/faiss/SKILL.md\", \"/opt/hermes/optional-skills/mlops/hermes-atropos-environments/SKILL.md\", \"/opt/hermes/optional-skills/mlops/tensorrt-llm/SKILL.md\", \"/opt/hermes/optional-skills/mlops/saelens/SKILL.md\", \"/opt/hermes/optional-skills/mlops/flash-attention/SKILL.md\", \"/opt/hermes/optional-skills/mlops/huggingface-tokenizers/SKILL.md\", \"/opt/hermes/optional-skills/mlops/pytorch-lightning/SKILL.md\", \"/opt/hermes/optional-skills/mlops/qdrant/SKILL.md\", \"/opt/hermes/optional-skills/mlops/pinecone/SKILL.md\", \"/opt/hermes/optional-skills/mlops/simpo/SKILL.md\", \"/opt/hermes/optional-skills/mlops/lambda-labs/SKILL.md\", \"/opt/hermes/optional-skills/mlops/llava/SKILL.md\", \"/opt/hermes/optional-skills/mlops/chroma/SKILL.md\", \"/opt/hermes/optional-skills/mlops/nemo-curator/SKILL.md\", \"/opt/hermes/optional-skills/health/fitness-nutrition/SKILL.md\", \"/opt/hermes/optional-skills/health/neuroskill-bci/SKILL.md\", \"/opt/hermes/optional-skills/blockchain/solana/SKILL.md\", \"/opt/hermes/optional-skills/blockchain/base/SKILL.md\", \"/opt/hermes/optional-skills/devops/cli/SKILL.md\", \"/opt/hermes/optional-skills/devops/docker-management/SKILL.md\", \"/opt/hermes/optional-skills/migration/openclaw-migration/SKILL.md\", \"/opt/hermes/optional-skills/mcp/fastmcp/SKILL.md\", \"/opt/hermes/optional-skills/productivity/telephony/SKILL.md\", \"/opt/hermes/optional-skills/productivity/siyuan/SKILL.md\", \"/opt/hermes/optional-skills/productivity/memento-flashcards/SKILL.md\", \"/opt/hermes/optional-skills/productivity/canvas/SKILL.md\", \"/opt/hermes/optional-skills/autonomous-ai-agents/blackbox/SKILL.md\", \"/opt/hermes/optional-skills/autonomous-ai-agents/honcho/SKILL.md\", \"/opt/hermes/optional-skills/communication/one-three-one-rule/SKILL.md\"], \"truncated\": true}\n\n[Hint: Results truncated. Use offset=50 to see more, or narrow with a more specific pattern or file_glob.]", "tool_call_id": "chatcmpl-tool-8c8046594ba850f6" }, { "role": "assistant", "content": "", "reasoning": "We need to call skills_list tool. It appears that skills_list is a function in the skills_tool module. We need to import it and call it. However, we can only use the tools provided: patch, read_file, search_files, write_file. There is no direct way to call a Python function unless we can somehow invoke it via the agent's tool system? The task says: \"Call the skills_list tool and write the JSON output to /tmp/skills.json\". In the context, the assistant is a subagent that can use tools. The skills_list tool is likely a tool that can be invoked like other tools (patch, read_file, etc.). However, the available tools listed do not include skills_list. But earlier we saw that skills_list is defined in skills_tool.py and is registered as a tool. Perhaps the agent can call it via the same mechanism as other tools? The assistant's tool list does not include skills_list, but maybe we need to load it? The instruction says: \"If the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering.\" That's not the case.\n\nMaybe we can call skills_list by using the agent's internal tool invocation? But we only have the four tools. Perhaps we can write a small script that imports and calls skills_list, then write the output. We can do that by writing a Python script to /tmp, then executing it? But we don't have an exec tool. We have read_file, write_file, patch, search_files. We cannot run arbitrary code.\n\nAlternatively, maybe the skills_list tool is actually available but not listed in the initial tool list? The initial tool list shown might be incomplete? The assistant said: \"Tool 'skills_list' does not exist. Available tools: patch, read_file, search_files, write_file\". That suggests that the assistant tried to call skills_list and got that error. So we need to find a way to call it.\n\nPerhaps we need to load the skills tool first? There is a tool called \"skills_tool\"? Not listed.\n\nMaybe we can use the agent's ability to invoke tools by name via some hidden mechanism? The assistant is a language model that can use tools; the tools are defined in the system. The skills_list tool might be one of them but not exposed in this subagent? The task is to call skills_list and write output to /tmp/skills.json. Perhaps we can use the agent's own tool invocation by writing a command that uses the tool? But we don't have a way to invoke tools other than the four.\n\nWait, maybe we can use the \"patch\" tool to modify something? No.\n\nLet's think: The assistant is a subagent working on a specific delegated task. The parent agent might have given it the ability to use certain tools. The tools listed are the only ones available. So we cannot call skills_list directly. However, we can read the skills data by reading the skill files directly? The skills_list tool returns a JSON of skills metadata. We could replicate that by scanning the skills directory ourselves and producing the same JSON. That might be acceptable: we can write a script that does what skills_list does, but we need to execute it. We can write a Python script and then maybe use the agent's ability to run Python? Not available.\n\nBut we can write the JSON output by manually constructing it from reading the SKILL.md files? That would be complex.\n\nAlternatively, maybe we can use the \"skills_list\" tool via the agent's internal tool invocation by using the \"agent\" namespace? Not sure.\n\nLet's look at the agent/display.py lines that mention skills_list. At line 907: \"if tool_name == \\\"skills_list\\\":\". That suggests there is a handler for skills_list tool. So the tool exists.\n\nPerhaps we need to invoke it via the agent's tool calling mechanism, but the subagent doesn't have it exposed. Maybe we need to ask the parent to load the skill? The instruction about loading hermes-agent skill is for configuring Hermes Agent itself. Not relevant.\n\nMaybe we can call skills_list by using the \"agent\" tool? Not listed.\n\nLet's check if there is a tool called \"agent\" that can invoke other tools? Not in list.\n\nWe could try to call skills_list by using the \"patch\" tool to write a file that then gets read? Not.\n\nWait, maybe the assistant can call any tool that is defined in the system, even if not listed in the initial tool list? The initial tool list might be the tools available in this conversation? The assistant said: \"Tool 'skills_list' does not exist. Available tools: patch, read_file, search_files, write_file\". That is a clear message from the system when trying to invoke an unknown tool. So indeed skills_list is not available as a tool to this subagent.\n\nThus we need to find another way. Perhaps we can use the \"skills_tool\" module via importing and calling its function by writing a small script and then using the \"read_file\" to capture output? But we cannot execute.\n\nUnless we can use the \"agent\" tool to run a command? Not available.\n\nMaybe we can use the \"write_file\" to write a Python script and then use the \"patch\" tool to modify something that will cause the script to run? Not likely.\n\nLet's examine the environment: We are in /opt/hermes. We can read files. Perhaps we can directly read the skills index cache? There are files like /opt/hermes/skills/index-cache/anthropics_skills_skills_.json etc. Those might be pre-built indices. The skills_list tool might be reading from those caches. Let's look at one of those files.\n\nWe can read the index-cache files to see if they contain the skills list. If so, we can just copy that to /tmp/skills.json.\n\nLet's try reading one of those files.\n", "finish_reason": "tool_calls", "reasoning_content": "We need to call skills_list tool. It appears that skills_list is a function in the skills_tool module. We need to import it and call it. However, we can only use the tools provided: patch, read_file, search_files, write_file. There is no direct way to call a Python function unless we can somehow invoke it via the agent's tool system? The task says: \"Call the skills_list tool and write the JSON output to /tmp/skills.json\". In the context, the assistant is a subagent that can use tools. The skills_list tool is likely a tool that can be invoked like other tools (patch, read_file, etc.). However, the available tools listed do not include skills_list. But earlier we saw that skills_list is defined in skills_tool.py and is registered as a tool. Perhaps the agent can call it via the same mechanism as other tools? The assistant's tool list does not include skills_list, but maybe we need to load it? The instruction says: \"If the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering.\" That's not the case.\n\nMaybe we can call skills_list by using the agent's internal tool invocation? But we only have the four tools. Perhaps we can write a small script that imports and calls skills_list, then write the output. We can do that by writing a Python script to /tmp, then executing it? But we don't have an exec tool. We have read_file, write_file, patch, search_files. We cannot run arbitrary code.\n\nAlternatively, maybe the skills_list tool is actually available but not listed in the initial tool list? The initial tool list shown might be incomplete? The assistant said: \"Tool 'skills_list' does not exist. Available tools: patch, read_file, search_files, write_file\". That suggests that the assistant tried to call skills_list and got that error. So we need to find a way to call it.\n\nPerhaps we need to load the skills tool first? There is a tool called \"skills_tool\"? Not listed.\n\nMaybe we can use the agent's ability to invoke tools by name via some hidden mechanism? The assistant is a language model that can use tools; the tools are defined in the system. The skills_list tool might be one of them but not exposed in this subagent? The task is to call skills_list and write output to /tmp/skills.json. Perhaps we can use the agent's own tool invocation by writing a command that uses the tool? But we don't have a way to invoke tools other than the four.\n\nWait, maybe we can use the \"patch\" tool to modify something? No.\n\nLet's think: The assistant is a subagent working on a specific delegated task. The parent agent might have given it the ability to use certain tools. The tools listed are the only ones available. So we cannot call skills_list directly. However, we can read the skills data by reading the skill files directly? The skills_list tool returns a JSON of skills metadata. We could replicate that by scanning the skills directory ourselves and producing the same JSON. That might be acceptable: we can write a script that does what skills_list does, but we need to execute it. We can write a Python script and then maybe use the agent's ability to run Python? Not available.\n\nBut we can write the JSON output by manually constructing it from reading the SKILL.md files? That would be complex.\n\nAlternatively, maybe we can use the \"skills_list\" tool via the agent's internal tool invocation by using the \"agent\" namespace? Not sure.\n\nLet's look at the agent/display.py lines that mention skills_list. At line 907: \"if tool_name == \\\"skills_list\\\":\". That suggests there is a handler for skills_list tool. So the tool exists.\n\nPerhaps we need to invoke it via the agent's tool calling mechanism, but the subagent doesn't have it exposed. Maybe we need to ask the parent to load the skill? The instruction about loading hermes-agent skill is for configuring Hermes Agent itself. Not relevant.\n\nMaybe we can call skills_list by using the \"agent\" tool? Not listed.\n\nLet's check if there is a tool called \"agent\" that can invoke other tools? Not in list.\n\nWe could try to call skills_list by using the \"patch\" tool to write a file that then gets read? Not.\n\nWait, maybe the assistant can call any tool that is defined in the system, even if not listed in the initial tool list? The initial tool list might be the tools available in this conversation? The assistant said: \"Tool 'skills_list' does not exist. Available tools: patch, read_file, search_files, write_file\". That is a clear message from the system when trying to invoke an unknown tool. So indeed skills_list is not available as a tool to this subagent.\n\nThus we need to find another way. Perhaps we can use the \"skills_tool\" module via importing and calling its function by writing a small script and then using the \"read_file\" to capture output? But we cannot execute.\n\nUnless we can use the \"agent\" tool to run a command? Not available.\n\nMaybe we can use the \"write_file\" to write a Python script and then use the \"patch\" tool to modify something that will cause the script to run? Not likely.\n\nLet's examine the environment: We are in /opt/hermes. We can read files. Perhaps we can directly read the skills index cache? There are files like /opt/hermes/skills/index-cache/anthropics_skills_skills_.json etc. Those might be pre-built indices. The skills_list tool might be reading from those caches. Let's look at one of those files.\n\nWe can read the index-cache files to see if they contain the skills list. If so, we can just copy that to /tmp/skills.json.\n\nLet's try reading one of those files.\n", "tool_calls": [ { "id": "chatcmpl-tool-90bcaf8e45491372", "call_id": "chatcmpl-tool-90bcaf8e45491372", "response_item_id": "fc_chatcmpl-tool-90bcaf8e45491372", "type": "function", "function": { "name": "read_file", "arguments": "{\"path\": \"/opt/hermes/skills/index-cache/anthropics_skills_skills_.json\"}" } } ] }, { "role": "tool", "content": "{\"content\": \" 1|[{\\\"name\\\": \\\"algorithmic-art\\\", \\\"description\\\": \\\"Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.\\\", \\\"source\\\": \\\"github\\\", \\\"identifier\\\": \\\"anthropics/skills/skills/algorithmic-art\\\", \\\"trust_level\\\": \\\"trusted\\\", \\\"repo\\\": \\\"anthropics/skills\\\", \\\"path\\\": \\\"skills/algorithmic-art\\\", \\\"tags\\\": []}, {\\\"name\\\": \\\"brand-guidelines\\\", \\\"description\\\": \\\"Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.\\\", \\\"source\\\": \\\"github\\\", \\\"identifier\\\": \\\"anthropics/skills/skills/brand-guidelines\\\", \\\"trust_level\\\": \\\"trusted\\\", \\\"repo\\\": \\\"anthropics/skills\\\", \\\"path\\\": \\\"skills/brand-guidelines\\\", \\\"tags\\\": []}, {\\\"name\\\": \\\"canvas-design\\\", \\\"description\\\": \\\"Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.\\\", \\\"source\\\": \\\"github\\\", \\\"identifier\\\": \\\"anthropics/skills/skills/canvas-design\\\", \\\"trust_level\\\": \\\"trusted\\\", \\\"repo\\\": \\\"anthropics/skills\\\", \\\"path\\\": \\\"skills/canvas-design\\\", \\\"tags\\\": []}, {\\\"name\\\": \\\"doc-coauthoring\\\", \\\"description\\\": \\\"Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.... [truncated]\", \"total_lines\": 0, \"file_size\": 9858, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "chatcmpl-tool-90bcaf8e45491372" }, { "role": "assistant", "content": "", "reasoning": "We need to call skills_list and write its JSON output to /tmp/skills.json.\nBut we saw that skills_list is not directly available as a tool. However, from the search, we found it defined in /opt/hermes/tools/skills_tool.py at line 647.\nWe can import that function and call it. However, we are in an agent environment and we can't import arbitrary Python modules? We can try to run the function via the tool system? Actually, the tool `skills_list` should be available but the earlier call said it doesn't exist. Perhaps we need to load it from the skills_tool module? But the agent might have a way to call functions defined in tools. Alternatively, we can simulate by reading the file and extracting? That seems messy.\n\nMaybe we can call the function via the agent's internal tool registry? The agent likely has a tool named \"skills_list\" but the earlier attempt failed because we didn't specify the correct namespace? The tool might be under \"tools.skills_tool.skills_list\"? Let's check the available tools list again: we only have patch, read_file, search_files, write_file. So the agent only exposes those four tools. So we cannot directly call skills_list as a tool.\n\nWe need to implement the functionality ourselves by reading the skills directory and generating the JSON output as the skills_list function would. But that's complex.\n\nAlternatively, maybe we can use the `read_file` tool to read the skills index cache? The skills_list function returns a JSON of skills from ~/.hermes/skills/. We saw there is an index-cache directory with some JSON files. Perhaps the skills_list function aggregates from those? Let's examine the index-cache files.\n\nWe saw /opt/hermes/skills/index-cache/anthropics_skills_skills_.json. There might be others. Let's list them.\n\nWe can search for files in that directory.\n\nLet's do that.\n", "finish_reason": "tool_calls", "reasoning_content": "We need to call skills_list and write its JSON output to /tmp/skills.json.\nBut we saw that skills_list is not directly available as a tool. However, from the search, we found it defined in /opt/hermes/tools/skills_tool.py at line 647.\nWe can import that function and call it. However, we are in an agent environment and we can't import arbitrary Python modules? We can try to run the function via the tool system? Actually, the tool `skills_list` should be available but the earlier call said it doesn't exist. Perhaps we need to load it from the skills_tool module? But the agent might have a way to call functions defined in tools. Alternatively, we can simulate by reading the file and extracting? That seems messy.\n\nMaybe we can call the function via the agent's internal tool registry? The agent likely has a tool named \"skills_list\" but the earlier attempt failed because we didn't specify the correct namespace? The tool might be under \"tools.skills_tool.skills_list\"? Let's check the available tools list again: we only have patch, read_file, search_files, write_file. So the agent only exposes those four tools. So we cannot directly call skills_list as a tool.\n\nWe need to implement the functionality ourselves by reading the skills directory and generating the JSON output as the skills_list function would. But that's complex.\n\nAlternatively, maybe we can use the `read_file` tool to read the skills index cache? The skills_list function returns a JSON of skills from ~/.hermes/skills/. We saw there is an index-cache directory with some JSON files. Perhaps the skills_list function aggregates from those? Let's examine the index-cache files.\n\nWe saw /opt/hermes/skills/index-cache/anthropics_skills_skills_.json. There might be others. Let's list them.\n\nWe can search for files in that directory.\n\nLet's do that.\n", "tool_calls": [ { "id": "chatcmpl-tool-b5a171dbac37a67c", "call_id": "chatcmpl-tool-b5a171dbac37a67c", "response_item_id": "fc_chatcmpl-tool-b5a171dbac37a67c", "type": "function", "function": { "name": "search_files", "arguments": "{\"path\": \"/opt/hermes/skills/index-cache\", \"pattern\": \"*.json\", \"target\": \"files\"}" } } ] }, { "role": "tool", "content": "{\"total_count\": 4, \"files\": [\"/opt/hermes/skills/index-cache/anthropics_skills_skills_.json\", \"/opt/hermes/skills/index-cache/lobehub_index.json\", \"/opt/hermes/skills/index-cache/openai_skills_skills_.json\", \"/opt/hermes/skills/index-cache/claude_marketplace_anthropics_skills.json\"]}", "tool_call_id": "chatcmpl-tool-b5a171dbac37a67c" } ] }