{ "session_id": "20260430_162601_c4f534", "model": "nvidia/nemotron-3-super-120b-a12b:free", "base_url": "https://openrouter.ai/api/v1", "platform": "curator", "session_start": "2026-04-30T16:26:01.330376", "last_updated": "2026-04-30T16:31:27.514413", "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 04:26 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": "process", "description": "Manage background processes started with terminal(background=true). Actions: 'list' (show all), 'poll' (check status + new output), 'log' (full output with pagination), 'wait' (block until done or timeout), 'kill' (terminate), 'write' (send raw stdin data without newline), 'submit' (send data + Enter, for answering prompts), 'close' (close stdin/send EOF).", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "list", "poll", "log", "wait", "kill", "write", "submit", "close" ], "description": "Action to perform on background processes" }, "session_id": { "type": "string", "description": "Process session ID (from terminal background output). Required for all actions except 'list'." }, "data": { "type": "string", "description": "Text to send to process stdin (for 'write' and 'submit' actions)" }, "timeout": { "type": "integer", "description": "Max seconds to block for 'wait' action. Returns partial output on timeout.", "minimum": 1 }, "offset": { "type": "integer", "description": "Line offset for 'log' action (default: last 200 lines)" }, "limit": { "type": "integer", "description": "Max lines to return for 'log' action", "minimum": 1 } }, "required": [ "action" ] } } }, { "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": "terminal", "description": "Execute shell commands on a Linux environment. Filesystem usually persists between calls.\n\nDo NOT use cat/head/tail to read files — use read_file instead.\nDo NOT use grep/rg/find to search — use search_files instead.\nDo NOT use ls to list directories — use search_files(target='files') instead.\nDo NOT use sed/awk to edit files — use patch instead.\nDo NOT use echo/cat heredoc to create files — use write_file instead.\nReserve terminal for: builds, installs, git, processes, scripts, network, package managers, and anything that needs a shell.\n\nForeground (default): Commands return INSTANTLY when done, even if the timeout is high. Set timeout=300 for long builds/scripts — you'll still get the result in seconds if it's fast. Prefer foreground for short commands.\nBackground: Set background=true to get a session_id. Two patterns:\n (1) Long-lived processes that never exit (servers, watchers).\n (2) Long-running tasks with notify_on_complete=true — you can keep working on other things and the system auto-notifies you when the task finishes. Great for test suites, builds, deployments, or anything that takes more than a minute.\nFor servers/watchers, do NOT use shell-level background wrappers (nohup/disown/setsid/trailing '&') in foreground mode. Use background=true so Hermes can track lifecycle and output.\nAfter starting a server, verify readiness with a health check or log signal, then run tests in a separate terminal() call. Avoid blind sleep loops.\nUse process(action=\"poll\") for progress checks, process(action=\"wait\") to block until done.\nWorking directory: Use 'workdir' for per-command cwd.\nPTY mode: Set pty=true for interactive CLI tools (Codex, Claude Code, Python REPL).\n\nDo NOT use vim/nano/interactive tools without pty=true — they hang without a pseudo-terminal. Pipe git output to cat if it might page.\n", "parameters": { "type": "object", "properties": { "command": { "type": "string", "description": "The command to execute on the VM" }, "background": { "type": "boolean", "description": "Run the command in the background. Two patterns: (1) Long-lived processes that never exit (servers, watchers). (2) Long-running tasks paired with notify_on_complete=true — you can keep working and get notified when the task finishes. For short commands, prefer foreground with a generous timeout instead.", "default": false }, "timeout": { "type": "integer", "description": "Max seconds to wait (default: 180, foreground max: 600). Returns INSTANTLY when command finishes — set high for long tasks, you won't wait unnecessarily. Foreground timeout above 600s is rejected; use background=true for longer commands.", "minimum": 1 }, "workdir": { "type": "string", "description": "Working directory for this command (absolute path). Defaults to the session working directory." }, "pty": { "type": "boolean", "description": "Run in pseudo-terminal (PTY) mode for interactive CLI tools like Codex, Claude Code, or Python REPL. Only works with local and SSH backends. Default: false.", "default": false }, "notify_on_complete": { "type": "boolean", "description": "When true (and background=true), you'll be automatically notified exactly once when the process finishes. **This is the right choice for almost every long-running task** — tests, builds, deployments, multi-item batch jobs, anything that takes over a minute and has a defined end. Use this and keep working on other things; the system notifies you on exit. MUTUALLY EXCLUSIVE with watch_patterns — when both are set, watch_patterns is dropped.", "default": false }, "watch_patterns": { "type": "array", "items": { "type": "string" }, "description": "Strings to watch for in background process output. HARD RATE LIMIT: at most 1 notification per 15 seconds per process — matches arriving inside the cooldown are dropped. After 3 consecutive 15-second windows with dropped matches, watch_patterns is automatically disabled for that process and promoted to notify_on_complete behavior (one notification on exit, no more mid-process spam). USE ONLY for truly rare, one-shot mid-process signals on LONG-LIVED processes that will never exit on their own — e.g. ['Application startup complete'] on a server so you know when to hit its endpoint, or ['migration done'] on a daemon. DO NOT use for: (1) end-of-run markers like 'DONE'/'PASS' — use notify_on_complete instead; (2) error patterns like 'ERROR'/'Traceback' in loops or multi-item batch jobs — they fire on every iteration and you'll hit the strike limit fast; (3) anything you'd ever combine with notify_on_complete. When in doubt, choose notify_on_complete. MUTUALLY EXCLUSIVE with notify_on_complete — set one, not both." } }, "required": [ "command" ] } } }, { "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": 8, "messages": [ { "role": "user", "content": "Find all SKILL.md files under /opt/data/skills/ and output a JSON array of objects with name and description (we'll get the description from the SKILL.md frontmatter? Too complex). Instead, we'll just output the skill names and then we can later get the descriptions if needed. For now, we just need the names to do clustering." }, { "role": "assistant", "content": "", "reasoning": "We need to find all SKILL.md files under /opt/data/skills/. Then output a JSON array of objects with name and description? But they say we'll just output skill names. The instruction: \"output a JSON array of objects with name and description (we'll get the description from the SKILL.md frontmatter? Too complex). Instead, we'll just output the skill names and then we can later get the descriptions if needed.\" So they want just names for now. Possibly each object: {\"name\": \"skill_name\"}? Or just array of strings? The instruction: \"output a JSON array of objects with name and description\" then they say instead we'll just output skill names. Likely they want array of objects with just name field: [{\"name\": \"skill1\"}, {\"name\":\"skill2\"}]. We'll do that.\n\nWe need to find SKILL.md files under /opt/data/skills/. Use search_files tool with target='files', pattern='SKILL.md', path='/opt/data/skills/'. Then extract names: likely the directory name containing SKILL.md is the skill name. For each file path, we can get parent directory name.\n\nLet's do search.\n\n", "finish_reason": "tool_calls", "reasoning_content": "We need to find all SKILL.md files under /opt/data/skills/. Then output a JSON array of objects with name and description? But they say we'll just output skill names. The instruction: \"output a JSON array of objects with name and description (we'll get the description from the SKILL.md frontmatter? Too complex). Instead, we'll just output the skill names and then we can later get the descriptions if needed.\" So they want just names for now. Possibly each object: {\"name\": \"skill_name\"}? Or just array of strings? The instruction: \"output a JSON array of objects with name and description\" then they say instead we'll just output skill names. Likely they want array of objects with just name field: [{\"name\": \"skill1\"}, {\"name\":\"skill2\"}]. We'll do that.\n\nWe need to find SKILL.md files under /opt/data/skills/. Use search_files tool with target='files', pattern='SKILL.md', path='/opt/data/skills/'. Then extract names: likely the directory name containing SKILL.md is the skill name. For each file path, we can get parent directory name.\n\nLet's do search.\n\n", "tool_calls": [ { "id": "chatcmpl-tool-bdafc753f987de7e", "call_id": "chatcmpl-tool-bdafc753f987de7e", "response_item_id": "fc_chatcmpl-tool-bdafc753f987de7e", "type": "function", "function": { "name": "search_files", "arguments": "{\"pattern\": \"SKILL.md\", \"target\": \"files\", \"path\": \"/opt/data/skills/\"}" } } ] }, { "role": "tool", "content": "{\"total_count\": 50, \"files\": [\"/opt/data/skills/yuanbao/SKILL.md\", \"/opt/data/skills/software-development/node-inspect-debugger/SKILL.md\", \"/opt/data/skills/software-development/debugging-hermes-tui-commands/SKILL.md\", \"/opt/data/skills/software-development/python-debugpy/SKILL.md\", \"/opt/data/skills/software-development/spike/SKILL.md\", \"/opt/data/skills/software-development/hermes-agent-skill-authoring/SKILL.md\", \"/opt/data/skills/social-media/xurl/SKILL.md\", \"/opt/data/skills/productivity/maps/SKILL.md\", \"/opt/data/skills/productivity/airtable/SKILL.md\", \"/opt/data/skills/media/spotify/SKILL.md\", \"/opt/data/skills/creative/touchdesigner-mcp/SKILL.md\", \"/opt/data/skills/creative/sketch/SKILL.md\", \"/opt/data/skills/creative/pretext/SKILL.md\", \"/opt/data/skills/creative/pixel-art/SKILL.md\", \"/opt/data/skills/creative/humanizer/SKILL.md\", \"/opt/data/skills/creative/design-md/SKILL.md\", \"/opt/data/skills/creative/comfyui/SKILL.md\", \"/opt/data/skills/creative/claude-design/SKILL.md\", \"/opt/data/skills/creative/baoyu-infographic/SKILL.md\", \"/opt/data/skills/creative/baoyu-comic/SKILL.md\", \"/opt/data/skills/github/github-code-review/SKILL.md\", \"/opt/data/skills/github/codebase-inspection/SKILL.md\", \"/opt/data/skills/github/github-auth/SKILL.md\", \"/opt/data/skills/github/github-issues/SKILL.md\", \"/opt/data/skills/github/github-repo-management/SKILL.md\", \"/opt/data/skills/github/github-pr-workflow/SKILL.md\", \"/opt/data/skills/red-teaming/godmode/SKILL.md\", \"/opt/data/skills/smart-home/openhue/SKILL.md\", \"/opt/data/skills/gaming/minecraft-modpack-server/SKILL.md\", \"/opt/data/skills/gaming/pokemon-player/SKILL.md\", \"/opt/data/skills/software-development/plan/SKILL.md\", \"/opt/data/skills/software-development/requesting-code-review/SKILL.md\", \"/opt/data/skills/software-development/writing-plans/SKILL.md\", \"/opt/data/skills/software-development/subagent-driven-development/SKILL.md\", \"/opt/data/skills/software-development/test-driven-development/SKILL.md\", \"/opt/data/skills/software-development/systematic-debugging/SKILL.md\", \"/opt/data/skills/data-science/jupyter-live-kernel/SKILL.md\", \"/opt/data/skills/email/himalaya/SKILL.md\", \"/opt/data/skills/research/blogwatcher/SKILL.md\", \"/opt/data/skills/research/research-paper-writing/SKILL.md\", \"/opt/data/skills/research/polymarket/SKILL.md\", \"/opt/data/skills/research/arxiv/SKILL.md\", \"/opt/data/skills/research/llm-wiki/SKILL.md\", \"/opt/data/skills/creative/songwriting-and-ai-music/SKILL.md\", \"/opt/data/skills/creative/excalidraw/SKILL.md\", \"/opt/data/skills/creative/p5js/SKILL.md\", \"/opt/data/skills/creative/manim-video/SKILL.md\", \"/opt/data/skills/creative/ascii-art/SKILL.md\", \"/opt/data/skills/creative/popular-web-designs/SKILL.md\", \"/opt/data/skills/creative/architecture-diagram/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-bdafc753f987de7e" }, { "role": "assistant", "content": "", "reasoning": "We need to output JSON array of objects with name and description? The instruction says: \"output a JSON array of objects with name and description (we'll get the description from the SKILL.md frontmatter? Too complex). Instead, we'll just output the skill names and then we can later get the descriptions if needed. For now, we just need the names to do clustering.\"\n\nSo we need to output array of objects with name (maybe also description field but we can leave empty or placeholder). We'll just output name.\n\nWe need to extract skill names from the paths: The skill name likely is the directory name containing SKILL.md? For example, /opt/data/skills/yuanbao/SKILL.md -> skill name \"yuanbao\". For nested paths like /opt/data/skills/software-development/node-inspect-debugger/SKILL.md -> maybe skill name \"node-inspect-debugger\"? Or maybe we want the relative path under skills? The task: \"Find all SKILL.md files under /opt/data/skills/ and output a JSON array of objects with name and description\". Likely they want the skill identifier (the directory name). Usually skills are in subdirectories under /opt/data/skills/ each containing a SKILL.md. Some are nested deeper like software-development/... but still the immediate parent directory is the skill name.\n\nThus we can parse each file path, take the parent directory name (the basename of the directory containing SKILL.md). That yields skill names.\n\nWe have 50 results but truncated true. Need to get all. We'll need to paginate or increase limit. Use search_files with limit maybe 200. Let's do that.\n\n", "finish_reason": "tool_calls", "reasoning_content": "We need to output JSON array of objects with name and description? The instruction says: \"output a JSON array of objects with name and description (we'll get the description from the SKILL.md frontmatter? Too complex). Instead, we'll just output the skill names and then we can later get the descriptions if needed. For now, we just need the names to do clustering.\"\n\nSo we need to output array of objects with name (maybe also description field but we can leave empty or placeholder). We'll just output name.\n\nWe need to extract skill names from the paths: The skill name likely is the directory name containing SKILL.md? For example, /opt/data/skills/yuanbao/SKILL.md -> skill name \"yuanbao\". For nested paths like /opt/data/skills/software-development/node-inspect-debugger/SKILL.md -> maybe skill name \"node-inspect-debugger\"? Or maybe we want the relative path under skills? The task: \"Find all SKILL.md files under /opt/data/skills/ and output a JSON array of objects with name and description\". Likely they want the skill identifier (the directory name). Usually skills are in subdirectories under /opt/data/skills/ each containing a SKILL.md. Some are nested deeper like software-development/... but still the immediate parent directory is the skill name.\n\nThus we can parse each file path, take the parent directory name (the basename of the directory containing SKILL.md). That yields skill names.\n\nWe have 50 results but truncated true. Need to get all. We'll need to paginate or increase limit. Use search_files with limit maybe 200. Let's do that.\n\n", "tool_calls": [ { "id": "chatcmpl-tool-bba5a2c27c361df8", "call_id": "chatcmpl-tool-bba5a2c27c361df8", "response_item_id": "fc_chatcmpl-tool-bba5a2c27c361df8", "type": "function", "function": { "name": "search_files", "arguments": "{\"path\": \"/opt/data/skills/\", \"pattern\": \"SKILL.md\", \"target\": \"files\", \"limit\": 200}" } } ] }, { "role": "tool", "content": "{\"total_count\": 99, \"files\": [\"/opt/data/skills/yuanbao/SKILL.md\", \"/opt/data/skills/software-development/node-inspect-debugger/SKILL.md\", \"/opt/data/skills/software-development/debugging-hermes-tui-commands/SKILL.md\", \"/opt/data/skills/software-development/python-debugpy/SKILL.md\", \"/opt/data/skills/software-development/spike/SKILL.md\", \"/opt/data/skills/software-development/hermes-agent-skill-authoring/SKILL.md\", \"/opt/data/skills/social-media/xurl/SKILL.md\", \"/opt/data/skills/productivity/maps/SKILL.md\", \"/opt/data/skills/productivity/airtable/SKILL.md\", \"/opt/data/skills/media/spotify/SKILL.md\", \"/opt/data/skills/creative/touchdesigner-mcp/SKILL.md\", \"/opt/data/skills/creative/sketch/SKILL.md\", \"/opt/data/skills/creative/pretext/SKILL.md\", \"/opt/data/skills/creative/pixel-art/SKILL.md\", \"/opt/data/skills/creative/humanizer/SKILL.md\", \"/opt/data/skills/creative/design-md/SKILL.md\", \"/opt/data/skills/creative/comfyui/SKILL.md\", \"/opt/data/skills/creative/claude-design/SKILL.md\", \"/opt/data/skills/creative/baoyu-infographic/SKILL.md\", \"/opt/data/skills/creative/baoyu-comic/SKILL.md\", \"/opt/data/skills/github/github-code-review/SKILL.md\", \"/opt/data/skills/github/codebase-inspection/SKILL.md\", \"/opt/data/skills/github/github-auth/SKILL.md\", \"/opt/data/skills/github/github-issues/SKILL.md\", \"/opt/data/skills/github/github-repo-management/SKILL.md\", \"/opt/data/skills/github/github-pr-workflow/SKILL.md\", \"/opt/data/skills/red-teaming/godmode/SKILL.md\", \"/opt/data/skills/smart-home/openhue/SKILL.md\", \"/opt/data/skills/gaming/minecraft-modpack-server/SKILL.md\", \"/opt/data/skills/gaming/pokemon-player/SKILL.md\", \"/opt/data/skills/software-development/plan/SKILL.md\", \"/opt/data/skills/software-development/requesting-code-review/SKILL.md\", \"/opt/data/skills/software-development/writing-plans/SKILL.md\", \"/opt/data/skills/software-development/subagent-driven-development/SKILL.md\", \"/opt/data/skills/software-development/test-driven-development/SKILL.md\", \"/opt/data/skills/software-development/systematic-debugging/SKILL.md\", \"/opt/data/skills/data-science/jupyter-live-kernel/SKILL.md\", \"/opt/data/skills/email/himalaya/SKILL.md\", \"/opt/data/skills/research/blogwatcher/SKILL.md\", \"/opt/data/skills/research/research-paper-writing/SKILL.md\", \"/opt/data/skills/research/polymarket/SKILL.md\", \"/opt/data/skills/research/arxiv/SKILL.md\", \"/opt/data/skills/research/llm-wiki/SKILL.md\", \"/opt/data/skills/creative/songwriting-and-ai-music/SKILL.md\", \"/opt/data/skills/creative/excalidraw/SKILL.md\", \"/opt/data/skills/creative/p5js/SKILL.md\", \"/opt/data/skills/creative/manim-video/SKILL.md\", \"/opt/data/skills/creative/ascii-art/SKILL.md\", \"/opt/data/skills/creative/popular-web-designs/SKILL.md\", \"/opt/data/skills/creative/architecture-diagram/SKILL.md\", \"/opt/data/skills/creative/creative-ideation/SKILL.md\", \"/opt/data/skills/creative/ascii-video/SKILL.md\", \"/opt/data/skills/mlops/inference/llama-cpp/SKILL.md\", \"/opt/data/skills/mlops/inference/outlines/SKILL.md\", \"/opt/data/skills/mlops/inference/gguf/SKILL.md\", \"/opt/data/skills/mlops/inference/vllm/SKILL.md\", \"/opt/data/skills/mlops/inference/guidance/SKILL.md\", \"/opt/data/skills/mlops/inference/obliteratus/SKILL.md\", \"/opt/data/skills/mlops/huggingface-hub/SKILL.md\", \"/opt/data/skills/mlops/research/dspy/SKILL.md\", \"/opt/data/skills/mlops/models/whisper/SKILL.md\", \"/opt/data/skills/mlops/models/stable-diffusion/SKILL.md\", \"/opt/data/skills/mlops/models/audiocraft/SKILL.md\", \"/opt/data/skills/mlops/models/segment-anything/SKILL.md\", \"/opt/data/skills/mlops/models/clip/SKILL.md\", \"/opt/data/skills/mlops/evaluation/lm-evaluation-harness/SKILL.md\", \"/opt/data/skills/mlops/evaluation/weights-and-biases/SKILL.md\", \"/opt/data/skills/mlops/training/trl-fine-tuning/SKILL.md\", \"/opt/data/skills/mlops/training/unsloth/SKILL.md\", \"/opt/data/skills/mlops/training/peft/SKILL.md\", \"/opt/data/skills/mlops/training/axolotl/SKILL.md\", \"/opt/data/skills/mlops/training/grpo-rl-training/SKILL.md\", \"/opt/data/skills/mlops/training/pytorch-fsdp/SKILL.md\", \"/opt/data/skills/mlops/cloud/modal/SKILL.md\", \"/opt/data/skills/media/youtube-content/SKILL.md\", \"/opt/data/skills/media/heartmula/SKILL.md\", \"/opt/data/skills/media/gif-search/SKILL.md\", \"/opt/data/skills/media/songsee/SKILL.md\", \"/opt/data/skills/leisure/find-nearby/SKILL.md\", \"/opt/data/skills/social-media/xitter/SKILL.md\", \"/opt/data/skills/devops/webhook-subscriptions/SKILL.md\", \"/opt/data/skills/mcp/mcporter/SKILL.md\", \"/opt/data/skills/mcp/native-mcp/SKILL.md\", \"/opt/data/skills/productivity/google-workspace/SKILL.md\", \"/opt/data/skills/productivity/nano-pdf/SKILL.md\", \"/opt/data/skills/productivity/linear/SKILL.md\", \"/opt/data/skills/productivity/powerpoint/SKILL.md\", \"/opt/data/skills/productivity/notion/SKILL.md\", \"/opt/data/skills/productivity/ocr-and-documents/SKILL.md\", \"/opt/data/skills/autonomous-ai-agents/codex/SKILL.md\", \"/opt/data/skills/autonomous-ai-agents/claude-code/SKILL.md\", \"/opt/data/skills/autonomous-ai-agents/hermes-agent/SKILL.md\", \"/opt/data/skills/autonomous-ai-agents/opencode/SKILL.md\", \"/opt/data/skills/apple/apple-reminders/SKILL.md\", \"/opt/data/skills/apple/imessage/SKILL.md\", \"/opt/data/skills/apple/findmy/SKILL.md\", \"/opt/data/skills/apple/apple-notes/SKILL.md\", \"/opt/data/skills/note-taking/obsidian/SKILL.md\", \"/opt/data/skills/dogfood/SKILL.md\"]}", "tool_call_id": "chatcmpl-tool-bba5a2c27c361df8" }, { "role": "assistant", "content": "", "reasoning": "We have a list of 99 SKILL.md files. We need to output a JSON array of objects with name and description. However, the user said: \"we'll just output the skill names and then we can later get the descriptions if needed. For now, we just need the names to do clustering.\" So they only need the names? Actually they said: \"output a JSON array of objects with name and description (we'll get the description from the SKILL.md frontmatter? Too complex). Instead, we'll just output the skill names and then we can later get the descriptions if needed. For now, we just need the names to do clustering.\"\n\nThus we should output an array of objects where each object has a \"name\" field (the skill name) and maybe a placeholder for description? Or just output an array of strings? The instruction: \"output a JSON array of objects with name and description\". Then they say instead we'll just output the skill names. So perhaps we output objects with just the name, and description can be empty or null.\n\nLet's interpret: They want a JSON array of objects, each object has \"name\" and \"description\". But they say getting description is too complex, so we'll just output the skill names (maybe description as empty string). We'll output something like: [{\"name\": \"skill1\", \"description\": \"\"}, ...].\n\nBut we need to extract the skill name from the path. The skill name is likely the directory name immediately under /opt/data/skills/ (or maybe the last directory before SKILL.md). For example, \"/opt/data/skills/yuanbao/SKILL.md\" => skill name \"yuanbao\". For nested paths like \"/opt/data/skills/software-development/node-inspect-debugger/SKILL.md\", the skill name might be \"node-inspect-debugger\"? Or maybe the full relative path? Usually skills are identified by their directory name. Let's look at a few: they have categories like software-development, creative, etc. The skill is likely the leaf directory. For example, \"software-development/node-inspect-debugger\" suggests the skill is \"node-inspect-debugger\". Similarly, \"creative/touchdesigner-mcp\" => skill \"touchdesigner-mcp\". So we can extract the penultimate directory component.\n\nAlternatively, we could use the relative path from /opt/data/skills/ as the skill identifier (including subdirectories). But the user said \"skill names\". I think it's the leaf directory.\n\nLet's decide: For each file path, we split by '/' and take the element at index -2 (second last). That gives the skill name.\n\nWe'll produce JSON array of objects with name and description (empty string). We'll output to stdout.\n\nWe need to create a JSON array. We'll do it via write_file? Actually we just need to output the result. We can use terminal to echo? But better to construct in the agent and output as final answer. However the instruction says: \"When finished, provide a clear, concise summary of: What you did, What you found or accomplished, Any files you created or modified, Any issues encountered\". So we don't need to output the JSON as a file; we just need to include it in our summary? Actually the task: \"Find all SKILL.md files under /opt/data/skills/ and output a JSON array of objects with name and description\". So we need to output that JSON array. Probably we should output it as the final answer. But the system expects us to give a summary after using tools. We can output the JSON array via write_file to a temporary location and then read it? Or we can just print it in our final response. Since we are the agent, we can output the JSON array as part of our final message.\n\nLet's do: We'll construct the JSON array in our mind and then output it in the final summary. But we need to be precise. Let's compute the list.\n\nWe have 99 files. We'll extract skill names.\n\nLet's write a quick script using terminal to generate the JSON. We'll use jq or python. We'll do it in a temporary file.\n\nSteps:\n1. Use search_files to get all SKILL.md files (we already have).\n2. Use terminal to run a command that extracts the skill name and creates JSON.\n\nWe'll do it in the /opt/hermes directory (workspace path). We'll create a temporary script.\n\nLet's do:\n\n```\ncd /opt/data/skills\nfind . -name 'SKILL.md' -type f | sed 's|^\\./||' | while read f; do dir=$(dirname \"$f\"); skill=$(basename \"$dir\"); echo \"{\\\"name\\\": \\\"$skill\\\", \\\"description\\\": \\\"\\\"}\"; done | jq -s '.'\n```\n\nBut we need to ensure proper JSON escaping. Skill names might have hyphens, etc. They are safe.\n\nWe'll use python for simplicity.\n\nLet's do:\n\n```\npython3 -c \"\nimport os, json\nskills = []\nfor root, dirs, files in os.walk('/opt/data/skills'):\n for f in files:\n if f == 'SKILL.md':\n path = os.path.join(root, f)\n rel = os.path.relpath(path, '/opt/data/skills')\n skill = os.path.dirname(rel)\n if skill == '.':\n skill = os.path.basename(root) # fallback\n skills.append({'name': skill, 'description': ''})\nprint(json.dumps(skills, indent=2))\n\"\n```\n\nWe'll run this in terminal.\n\nLet's do it.\n\n", "finish_reason": "tool_calls", "reasoning_content": "We have a list of 99 SKILL.md files. We need to output a JSON array of objects with name and description. However, the user said: \"we'll just output the skill names and then we can later get the descriptions if needed. For now, we just need the names to do clustering.\" So they only need the names? Actually they said: \"output a JSON array of objects with name and description (we'll get the description from the SKILL.md frontmatter? Too complex). Instead, we'll just output the skill names and then we can later get the descriptions if needed. For now, we just need the names to do clustering.\"\n\nThus we should output an array of objects where each object has a \"name\" field (the skill name) and maybe a placeholder for description? Or just output an array of strings? The instruction: \"output a JSON array of objects with name and description\". Then they say instead we'll just output the skill names. So perhaps we output objects with just the name, and description can be empty or null.\n\nLet's interpret: They want a JSON array of objects, each object has \"name\" and \"description\". But they say getting description is too complex, so we'll just output the skill names (maybe description as empty string). We'll output something like: [{\"name\": \"skill1\", \"description\": \"\"}, ...].\n\nBut we need to extract the skill name from the path. The skill name is likely the directory name immediately under /opt/data/skills/ (or maybe the last directory before SKILL.md). For example, \"/opt/data/skills/yuanbao/SKILL.md\" => skill name \"yuanbao\". For nested paths like \"/opt/data/skills/software-development/node-inspect-debugger/SKILL.md\", the skill name might be \"node-inspect-debugger\"? Or maybe the full relative path? Usually skills are identified by their directory name. Let's look at a few: they have categories like software-development, creative, etc. The skill is likely the leaf directory. For example, \"software-development/node-inspect-debugger\" suggests the skill is \"node-inspect-debugger\". Similarly, \"creative/touchdesigner-mcp\" => skill \"touchdesigner-mcp\". So we can extract the penultimate directory component.\n\nAlternatively, we could use the relative path from /opt/data/skills/ as the skill identifier (including subdirectories). But the user said \"skill names\". I think it's the leaf directory.\n\nLet's decide: For each file path, we split by '/' and take the element at index -2 (second last). That gives the skill name.\n\nWe'll produce JSON array of objects with name and description (empty string). We'll output to stdout.\n\nWe need to create a JSON array. We'll do it via write_file? Actually we just need to output the result. We can use terminal to echo? But better to construct in the agent and output as final answer. However the instruction says: \"When finished, provide a clear, concise summary of: What you did, What you found or accomplished, Any files you created or modified, Any issues encountered\". So we don't need to output the JSON as a file; we just need to include it in our summary? Actually the task: \"Find all SKILL.md files under /opt/data/skills/ and output a JSON array of objects with name and description\". So we need to output that JSON array. Probably we should output it as the final answer. But the system expects us to give a summary after using tools. We can output the JSON array via write_file to a temporary location and then read it? Or we can just print it in our final response. Since we are the agent, we can output the JSON array as part of our final message.\n\nLet's do: We'll construct the JSON array in our mind and then output it in the final summary. But we need to be precise. Let's compute the list.\n\nWe have 99 files. We'll extract skill names.\n\nLet's write a quick script using terminal to generate the JSON. We'll use jq or python. We'll do it in a temporary file.\n\nSteps:\n1. Use search_files to get all SKILL.md files (we already have).\n2. Use terminal to run a command that extracts the skill name and creates JSON.\n\nWe'll do it in the /opt/hermes directory (workspace path). We'll create a temporary script.\n\nLet's do:\n\n```\ncd /opt/data/skills\nfind . -name 'SKILL.md' -type f | sed 's|^\\./||' | while read f; do dir=$(dirname \"$f\"); skill=$(basename \"$dir\"); echo \"{\\\"name\\\": \\\"$skill\\\", \\\"description\\\": \\\"\\\"}\"; done | jq -s '.'\n```\n\nBut we need to ensure proper JSON escaping. Skill names might have hyphens, etc. They are safe.\n\nWe'll use python for simplicity.\n\nLet's do:\n\n```\npython3 -c \"\nimport os, json\nskills = []\nfor root, dirs, files in os.walk('/opt/data/skills'):\n for f in files:\n if f == 'SKILL.md':\n path = os.path.join(root, f)\n rel = os.path.relpath(path, '/opt/data/skills')\n skill = os.path.dirname(rel)\n if skill == '.':\n skill = os.path.basename(root) # fallback\n skills.append({'name': skill, 'description': ''})\nprint(json.dumps(skills, indent=2))\n\"\n```\n\nWe'll run this in terminal.\n\nLet's do it.\n\n", "tool_calls": [ { "id": "chatcmpl-tool-a79d5775cc381740", "call_id": "chatcmpl-tool-a79d5775cc381740", "response_item_id": "fc_chatcmpl-tool-a79d5775cc381740", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\": \"cd /opt/data/skills && python3 -c \\\"\\nimport os, json\\nskills = []\\nfor root, dirs, files in os.walk('.'):\\n for f in files:\\n if f == 'SKILL.md':\\n path = os.path.join(root, f)\\n rel = os.path.relpath(path, '.')\\n skill = os.path.dirname(rel)\\n if skill == '.':\\n skill = os.path.basename(root)\\n skills.append({'name': skill, 'description': ''})\\nprint(json.dumps(skills, indent=2))\\n\\\"\"}" } } ] }, { "role": "tool", "content": "{\"output\": \"[\\n {\\n \\\"name\\\": \\\"github/github-code-review\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"github/codebase-inspection\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"github/github-auth\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"github/github-issues\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"github/github-repo-management\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"github/github-pr-workflow\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"red-teaming/godmode\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"smart-home/openhue\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"gaming/minecraft-modpack-server\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"gaming/pokemon-player\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"software-development/node-inspect-debugger\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"software-development/plan\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"software-development/requesting-code-review\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"software-development/debugging-hermes-tui-commands\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"software-development/writing-plans\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"software-development/python-debugpy\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"software-development/subagent-driven-development\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"software-development/test-driven-development\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"software-development/spike\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"software-development/hermes-agent-skill-authoring\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"software-development/systematic-debugging\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"data-science/jupyter-live-kernel\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"email/himalaya\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"research/blogwatcher\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"research/research-paper-writing\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"research/polymarket\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"research/arxiv\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"research/llm-wiki\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"creative/songwriting-and-ai-music\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"creative/humanizer\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"creative/excalidraw\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"creative/pixel-art\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"creative/touchdesigner-mcp\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"creative/p5js\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"creative/design-md\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"creative/manim-video\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"creative/baoyu-infographic\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"creative/ascii-art\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"creative/popular-web-designs\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"creative/baoyu-comic\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"creative/pretext\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"creative/architecture-diagram\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"creative/sketch\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"creative/creative-ideation\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"creative/comfyui\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"creative/claude-design\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"creative/ascii-video\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"mlops/inference/llama-cpp\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"mlops/inference/outlines\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"mlops/inference/gguf\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"mlops/inference/vllm\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"mlops/inference/guidance\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"mlops/inference/obliteratus\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"mlops/huggingface-hub\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"mlops/research/dspy\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"mlops/models/whisper\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"mlops/models/stable-diffusion\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"mlops/models/audiocraft\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"mlops/models/segment-anything\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"mlops/models/clip\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"mlops/evaluation/lm-evaluation-harness\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"mlops/evaluation/weights-and-biases\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"mlops/training/trl-fine-tuning\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"mlops/training/unsloth\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"mlops/training/peft\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"mlops/training/axolotl\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"mlops/training/grpo-rl-training\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"mlops/training/pytorch-fsdp\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"mlops/cloud/modal\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"media/youtube-content\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"media/spotify\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"media/heartmula\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"media/gif-search\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"media/songsee\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"leisure/find-nearby\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"social-media/xitter\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"social-media/xurl\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"devops/webhook-subscriptions\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"yuanbao\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"mcp/mcporter\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"mcp/native-mcp\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"productivity/maps\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"productivity/google-workspace\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"productivity/nano-pdf\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"productivity/airtable\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"productivity/linear\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"productivity/powerpoint\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"productivity/notion\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"productivity/ocr-and-documents\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"autonomous-ai-agents/codex\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"autonomous-ai-agents/claude-code\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"autonomous-ai-agents/hermes-agent\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"autonomous-ai-agents/opencode\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"apple/apple-reminders\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"apple/imessage\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"apple/findmy\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"apple/apple-notes\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"note-taking/obsidian\\\",\\n \\\"description\\\": \\\"\\\"\\n },\\n {\\n \\\"name\\\": \\\"dogfood\\\",\\n \\\"description\\\": \\\"\\\"\\n }\\n]\", \"exit_code\": 0, \"error\": null, \"approval\": \"Command required approval (script execution via -e/-c flag) and was approved by the user.\"}", "tool_call_id": "chatcmpl-tool-a79d5775cc381740" }, { "role": "assistant", "content": "I've completed the task of finding all SKILL.md files under `/opt/data/skills/` and extracting the skill names for clustering purposes.\n\n## What I did:\n1. Searched for all SKILL.md files recursively under `/opt/data/skills/`\n2. Extracted the skill name from each file's directory path (relative to `/opt/data/skills/`)\n3. Created a JSON array of objects with `name` and `description` fields (description left empty as requested)\n4. Output the complete JSON array\n\n## What I found:\nFound **99 skill files** across various categories including software development, creative, productivity, research, MLops, autonomous AI agents, and more.\n\n## Output (JSON array):\n```json\n[\n {\n \"name\": \"github/github-code-review\",\n \"description\": \"\"\n },\n {\n \"name\": \"github/codebase-inspection\",\n \"description\": \"\"\n },\n {\n \"name\": \"github/github-auth\",\n \"description\": \"\"\n },\n {\n \"name\": \"github/github-issues\",\n \"description\": \"\"\n },\n {\n \"name\": \"github/github-repo-management\",\n \"description\": \"\"\n },\n {\n \"name\": \"github/github-pr-workflow\",\n \"description\": \"\"\n },\n {\n \"name\": \"red-teaming/godmode\",\n \"description\": \"\"\n },\n {\n \"name\": \"smart-home/openhue\",\n \"description\": \"\"\n },\n {\n \"name\": \"gaming/minecraft-modpack-server\",\n \"description\": \"\"\n },\n {\n \"name\": \"gaming/pokemon-player\",\n \"description\": \"\"\n },\n {\n \"name\": \"software-development/node-inspect-debugger\",\n \"description\": \"\"\n },\n {\n \"name\": \"software-development/plan\",\n \"description\": \"\"\n },\n {\n \"name\": \"software-development/requesting-code-review\",\n \"description\": \"\"\n },\n {\n \"name\": \"software-development/debugging-hermes-tui-commands\",\n \"description\": \"\"\n },\n {\n \"name\": \"software-development/writing-plans\",\n \"description\": \"\"\n },\n {\n \"name\": \"software-development/python-debugpy\",\n \"description\": \"\"\n },\n {\n \"name\": \"software-development/subagent-driven-development\",\n \"description\": \"\"\n },\n {\n \"name\": \"software-development/test-driven-development\",\n \"description\": \"\"\n },\n {\n \"name\": \"software-development/spike\",\n \"description\": \"\"\n },\n {\n \"name\": \"software-development/hermes-agent-skill-authoring\",\n \"description\": \"\"\n },\n {\n \"name\": \"software-development/systematic-debugging\",\n \"description\": \"\"\n },\n {\n \"name\": \"data-science/jupyter-live-kernel\",\n \"description\": \"\"\n },\n {\n \"name\": \"email/himalaya\",\n \"description\": \"\"\n },\n {\n \"name\": \"research/blogwatcher\",\n \"description\": \"\"\n },\n {\n \"name\": \"research/research-paper-writing\",\n \"description\": \"\"\n },\n {\n \"name\": \"research/polymarket\",\n \"description\": \"\"\n },\n {\n \"name\": \"research/arxiv\",\n \"description\": \"\"\n },\n {\n \"name\": \"research/llm-wiki\",\n \"description\": \"\"\n },\n {\n \"name\": \"creative/songwriting-and-ai-music\",\n \"description\": \"\"\n },\n {\n \"name\": \"creative/humanizer\",\n \"description\": \"\"\n },\n {\n \"name\": \"creative/excalidraw\",\n \"description\": \"\"\n },\n {\n \"name\": \"creative/pixel-art\",\n \"description\": \"\"\n },\n {\n \"name\": \"creative/touchdesigner-mcp\",\n \"description\": \"\"\n },\n {\n \"name\": \"creative/p5js\",\n \"description\": \"\"\n },\n {\n \"name\": \"creative/design-md\",\n \"description\": \"\"\n },\n {\n \"name\": \"creative/manim-video\",\n \"description\": \"\"\n },\n {\n \"name\": \"creative/baoyu-infographic\",\n \"description\": \"\"\n },\n {\n \"name\": \"creative/ascii-art\",\n \"description\": \"\"\n },\n {\n \"name\": \"creative/popular-web-designs\",\n \"description\": \"\"\n },\n {\n \"name\": \"creative/baoyu-comic\",\n \"description\": \"\"\n },\n {\n \"name\": \"creative/pretext\",\n \"description\": \"\"\n },\n {\n \"name\": \"creative/architecture-diagram\",\n \"description\": \"\"\n },\n {\n \"name\": \"creative/sketch\",\n \"description\": \"\"\n },\n {\n \"name\": \"creative/creative-ideation\",\n \"description\": \"\"\n },\n {\n \"name\": \"creative/comfyui\",\n \"description\": \"\"\n },\n {\n \"name\": \"creative/claude-design\",\n \"description\": \"\"\n },\n {\n \"name\": \"creative/ascii-video\",\n \"description\": \"\"\n },\n {\n \"name\": \"mlops/inference/llama-cpp\",\n \"description\": \"\"\n },\n {\n \"name\": \"mlops/inference/outlines\",\n \"description\": \"\"\n },\n {\n \"name\": \"mlops/inference/gguf\",\n \"description\": \"\"\n },\n {\n \"name\": \"mlops/inference/vllm\",\n \"description\": \"\"\n },\n {\n \"name\": \"mlops/inference/guidance\",\n \"description\": \"\"\n },\n {\n \"name\": \"mlops/inference/obliteratus\",\n \"description\": \"\"\n },\n {\n \"name\": \"mlops/huggingface-hub\",\n \"description\": \"\"\n },\n {\n \"name\": \"mlops/research/dspy\",\n \"description\": \"\"\n },\n {\n \"name\": \"mlops/models/whisper\",\n \"description\": \"\"\n },\n {\n \"name\": \"mlops/models/stable-diffusion\",\n \"description\": \"\"\n },\n {\n \"name\": \"mlops/models/audiocraft\",\n \"description\": \"\"\n },\n {\n \"name\": \"mlops/models/segment-anything\",\n \"description\": \"\"\n },\n {\n \"name\": \"mlops/models/clip\",\n \"description\": \"\"\n },\n {\n \"name\": \"mlops/evaluation/lm-evaluation-harness\",\n \"description\": \"\"\n },\n {\n \"name\": \"mlops/evaluation/weights-and-biases\",\n \"description\": \"\"\n },\n {\n \"name\": \"mlops/training/trl-fine-tuning\",\n \"description\": \"\"\n },\n {\n \"name\": \"mlops/training/unsloth\",\n \"description\": \"\"\n },\n {\n \"name\": \"mlops/training/peft\",\n \"description\": \"\"\n },\n {\n \"name\": \"mlops/training/axolotl\",\n \"description\": \"\"\n },\n {\n \"name\": \"mlops/training/grpo-rl-training\",\n \"description\": \"\"\n },\n {\n \"name\": \"mlops/training/pytorch-fsdp\",\n \"description\": \"\"\n },\n {\n \"name\": \"mlops/cloud/modal\",\n \"description\": \"\"\n },\n {\n \"name\": \"media/youtube-content\",\n \"description\": \"\"\n },\n {\n \"name\": \"media/spotify\",\n \"description\": \"\"\n },\n {\n \"name\": \"media/heartmula\",\n \"description\": \"\"\n },\n {\n \"name\": \"media/gif-search\",\n \"description\": \"\"\n },\n {\n \"name\": \"media/songsee\",\n \"description\": \"\"\n },\n {\n \"name\": \"leisure/find-nearby\",\n \"description\": \"\"\n },\n {\n \"name\": \"social-media/xitter\",\n \"description\": \"\"\n },\n {\n \"name\": \"social-media/xurl\",\n \"description\": \"\"\n },\n {\n \"name\": \"devops/webhook-subscriptions\",\n \"description\": \"\"\n },\n {\n \"name\": \"yuanbao\",\n \"description\": \"\"\n },\n {\n \"name\": \"mcp/mcporter\",\n \"description\": \"\"\n },\n {\n \"name\": \"mcp/native-mcp\",\n \"description\": \"\"\n },\n {\n \"name\": \"productivity/maps\",\n \"description\": \"\"\n },\n {\n \"name\": \"productivity/google-workspace\",\n \"description\": \"\"\n },\n {\n \"name\": \"productivity/nano-pdf\",\n \"description\": \"\"\n },\n {\n \"name\": \"productivity/airtable\",\n \"description\": \"\"\n },\n {\n \"name\": \"productivity/linear\",\n \"description\": \"\"\n },\n {\n \"name\": \"productivity/powerpoint\",\n \"description\": \"\"\n },\n {\n \"name\": \"productivity/notion\",\n \"description\": \"\"\n },\n {\n \"name\": \"productivity/ocr-and-documents\",\n \"description\": \"\"\n },\n {\n \"name\": \"autonomous-ai-agents/codex\",\n \"description\": \"\"\n },\n {\n \"name\": \"autonomous-ai-agents/claude-code\",\n \"description\": \"\"\n },\n {\n \"name\": \"autonomous-ai-agents/hermes-agent\",\n \"description\": \"\"\n },\n {\n \"name\": \"autonomous-ai-agents/opencode\",\n \"description\": \"\"\n },\n {\n \"name\": \"apple/apple-reminders\",\n \"description\": \"\"\n },\n {\n \"name\": \"apple/imessage\",\n \"description\": \"\"\n },\n {\n \"name\": \"apple/findmy\",\n \"description\": \"\"\n },\n {\n \"name\": \"apple/apple-notes\",\n \"description\": \"\"\n },\n {\n \"name\": \"note-taking/obsidian\",\n \"description\": \"\"\n },\n {\n \"name\": \"dogfood\",\n \"description\": \"\"\n }\n]\n```\n\n## Summary:\n- **Total skills found**: 99\n- **Files processed**: All SKILL.md files under `/opt/data/skills/`\n- **Output format**: JSON array with skill names and empty description fields (ready for clustering)\n- **No files created or modified** - only read operations performed\n- **No issues encountered** - task completed successfully\n\nThe skill names are now available for clustering analysis as requested. Descriptions can be extracted later from the SKILL.md frontmatter if needed.", "reasoning": "The user requested: \"Find all SKILL.md files under /opt/data/skills/ and output a JSON array of objects with name and description (we'll get the description from the SKILL.md frontmatter? Too complex). Instead, we'll just output the skill names and then we can later get the descriptions if needed. For now, we just need the names to do clustering.\"\n\nWe need to output a JSON array of objects with name and description. Since we said we'll just output skill names (description placeholder), we can set description as empty string or maybe we could try to extract description from frontmatter? The user said \"Too complex\" so we just output names. We already have the list of skill names from the terminal output: each object has name and description empty.\n\nWe should produce final answer with that JSON array. However, we need to ensure we include all skills. The terminal output shows a list of skills (looks like 99 items). We can just output that JSON.\n\nBut we need to format as a JSON array of objects with name and description. The terminal output already did that. We can just present that as final answer.\n\nWe should also note what we did: searched for SKILL.md files under /opt/data/skills/, extracted skill names from directory paths, output JSON.\n\nWe'll provide a concise summary.\n\nNow, final response.\n\n", "finish_reason": "stop", "reasoning_content": "The user requested: \"Find all SKILL.md files under /opt/data/skills/ and output a JSON array of objects with name and description (we'll get the description from the SKILL.md frontmatter? Too complex). Instead, we'll just output the skill names and then we can later get the descriptions if needed. For now, we just need the names to do clustering.\"\n\nWe need to output a JSON array of objects with name and description. Since we said we'll just output skill names (description placeholder), we can set description as empty string or maybe we could try to extract description from frontmatter? The user said \"Too complex\" so we just output names. We already have the list of skill names from the terminal output: each object has name and description empty.\n\nWe should produce final answer with that JSON array. However, we need to ensure we include all skills. The terminal output shows a list of skills (looks like 99 items). We can just output that JSON.\n\nBut we need to format as a JSON array of objects with name and description. The terminal output already did that. We can just present that as final answer.\n\nWe should also note what we did: searched for SKILL.md files under /opt/data/skills/, extracted skill names from directory paths, output JSON.\n\nWe'll provide a concise summary.\n\nNow, final response.\n\n" } ] }