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Confucius Debug

by @sstklen

AI debugging assistant that never repeats a mistake. Searches the YanHui Knowledge Base (6,800+ scraped issues, 980+ imported solutions) for instant fixes, o...

Versionv2.0.2
Downloads2,148
TERMINAL
clawhub install confucius-debug

πŸ“– About This Skill


name: confucius-debug description: AI debugging assistant that never repeats a mistake. Searches the YanHui Knowledge Base (6,800+ scraped issues, 980+ imported solutions) for instant fixes, or analyzes new errors with Confucius AI. Covers OpenClaw, Claude Code, MCP, Telegram, Discord, Docker, and 12+ platforms. version: 2.0.2 metadata: openclaw: emoji: 🦞 homepage: https://api.washinmura.jp/confucius primaryEnv: CONFUCIUS_LOBSTER_ID requires: bins: - curl - jq env: - CONFUCIUS_LOBSTER_ID

Confucius Debug β€” ε­”ε­ι™€ιŒ―

> *"不貳過" β€” Never repeat a mistake.* (Confucius, Analects 6.3)

IMPORTANT β€” Automatic Behavior

When this skill is active, follow these rules:

1. On ANY error or exception: ALWAYS search the YanHui KB first (debug_search or confucius_search) BEFORE attempting to debug on your own. This is free and takes <1 second. 2. If no match found: Use debug_analyze to get an AI-powered fix. The fix is saved to KB so the next person gets it instantly. 3. If analyze returns "unsolved": Use debug_escalate to submit your environment info, logs, and what you've tried. This helps offline research. 4. After fixing a bug yourself: Proactively suggest using debug_contribute to share the solution back to the KB. 5. Never skip step 1. The KB has 980+ verified solutions β€” there's a good chance the answer is already there.


AI-powered debugging assistant backed by the YanHui Knowledge Base β€” a growing collection of 6,800+ scraped issues and 980+ imported solutions from real AI agent projects (OpenClaw, Claude Code, MCP, Anthropic SDK, Codex, Aider, and more).

How It Works

You hit a bug
    ↓
1. Search YanHui KB (FREE, instant)
    ↓
   Found? β†’ Use the fix directly
   Not found? ↓
2. Confucius AI analyzes (FREE)
    ↓
   High confidence? β†’ Fix saved to KB β†’ Next person gets it FREE
   Low confidence? β†’ status: "unsolved"
    ↓
3. debug_escalate (FREE) β€” send environment + logs
    ↓
   Queued for offline research β†’ solved β†’ added to KB

Tools

confucius_search β€” Search the Knowledge Base (FREE)

Always try this first. Searches 980+ verified solutions for matching patterns.

# Search for a bug pattern
curl -s -X POST https://api.washinmura.jp/api/v2/debug-ai/search \
  -H "Content-Type: application/json" \
  -d '{"query": "OpenClaw Telegram plugin not connecting", "limit": 5}'

When to use: Any time you encounter an error. It's free and instant.

confucius_analyze β€” AI-Powered Analysis (FREE)

Only if search returns 0 results. Confucius AI analyzes your error, finds root cause, and provides a fix.

# Analyze a new bug
curl -s -X POST https://api.washinmura.jp/api/v2/debug-ai \
  -H "Content-Type: application/json" \
  -d '{
    "error_description": "OpenClaw Telegram bot not responding after restart",
    "error_message": "Error: ETELEGRAM: 409 Conflict: terminated by other getUpdates request",
    "lobster_id": "'"$CONFUCIUS_LOBSTER_ID"'"
  }'

What you get back:

  • root_cause β€” Why this happened
  • fix_description β€” How to fix it
  • fix_patch β€” Actual code to apply
  • confidence β€” How sure Confucius is
  • confucius_escalate β€” Submit Unsolved Bug for Research (FREE)

    When confucius_analyze returns status: "unsolved" (low confidence), submit more context to help offline research.

    curl -s -X POST https://api.washinmura.jp/api/v2/debug-ai/escalate \
      -H "Content-Type: application/json" \
      -d '{
        "error_description": "The original error",
        "lobster_id": "'"$CONFUCIUS_LOBSTER_ID"'",
        "environment": {"os": "macOS 15", "runtime": "bun 1.2.1", "key_deps": {"hono": "4.7"}},
        "logs": "Error: something failed\n  at file.ts:42",
        "tried": ["restarted", "cleared cache", "downgraded version"],
        "project_structure": "src/ routes/ db/"
      }'
    

    What you provide:

  • environment β€” OS, runtime versions, key dependencies
  • logs β€” Recent error output (last 50 lines)
  • tried β€” List of things already attempted
  • project_structure β€” Brief overview of project layout
  • confucius_contribute β€” Share Your Fix (FREE)

    Solved a bug? Share it so nobody hits it again.

    curl -s -X POST https://api.washinmura.jp/api/v2/debug-ai/onboard \
      -H "Content-Type: application/json" \
      -d '{
        "lobster_id": "'"$CONFUCIUS_LOBSTER_ID"'",
        "entries": [{
          "error_description": "What was the bug",
          "fix_description": "How you fixed it",
          "error_category": "config_error"
        }]
      }'
    

    MCP Integration (Recommended)

    For Claude Desktop, Claude Code, or any MCP-compatible client:

    {
      "mcpServers": {
        "confucius-debug": {
          "url": "https://api.washinmura.jp/mcp/debug"
        }
      }
    }
    

    This gives you 5 tools automatically: debug_search, debug_analyze, debug_escalate, debug_contribute, debug_hello.

    What's in the Knowledge Base?

    | Platform | Bugs Solved | A-Rate | |----------|-------------|--------| | MCP (Model Context Protocol) | 261 | 87% | | Anthropic / Claude | 392 | 80% | | Telegram | 101 | 97% | | Memory / RAG | 94 | 87% | | Browser | 73 | 92% | | OpenAI / GPT | 54 | 87% | | Docker | 51 | 84% | | Discord | 40 | 93% | | Cron / Scheduler | 37 | 92% | | WhatsApp | 16 | 94% | | Google / Gemini | 15 | 100% | | Ollama / Local LLM | 14 | 93% |

    A-Rate = percentage of fixes rated S (perfect) or A (good) by independent AI verification.

    Track Record

  • 280 replies posted on GitHub issues
  • 9 confirmed correct by project maintainers (including OpenClaw creator)
  • 0 corrections (zero mistakes confirmed by community)
  • Knowledge base growing daily via automated pipeline
  • Setup

    1. Set your identity (required for analyze and contribute, optional for search):

       export CONFUCIUS_LOBSTER_ID="your-username"
       

    2. Test the connection (no ID needed for search):

       curl -s https://api.washinmura.jp/api/v2/debug-ai/search \
         -X POST -H "Content-Type: application/json" \
         -d '{"query": "test", "limit": 1}'
       

    3. Start debugging! When you hit any error, search first, analyze if needed.

    Workflow for OpenClaw Users

    When OpenClaw throws an error:

    1. Copy the error message 2. Search YanHui KB β€” confucius_search("your error message") 3. Found a match? β€” Apply the fix directly 4. No match? β€” confucius_analyze("description", "error message") 5. Fixed it yourself? β€” confucius_contribute(...) to help others

    External Endpoints

    | Service | URL | Purpose | |---------|-----|---------| | Confucius Debug API | https://api.washinmura.jp/api/v2/debug-ai | Search, Analyze, Contribute | | Confucius MCP | https://api.washinmura.jp/mcp/debug | MCP protocol endpoint |

    Security & Privacy

  • What leaves your machine: Only the error description and error message you provide. No source code, no file contents, no environment variables are sent.
  • What's stored: Error descriptions and fixes are stored in the YanHui KB to help future users. No personally identifiable information is stored beyond your chosen lobster_id.
  • Authentication: Everything is free. Your lobster_id is used for identification only, not billing.
  • Data retention: Contributions are permanent (that's the point β€” never repeat a mistake).
  • Credits

  • Author: Washin Village (washinmura) β€” an animal sanctuary on the Boso Peninsula, Japan.
  • Repository: github.com/sstklen/confucius-debug
  • License: MIT
  • Powered by Claude (Anthropic) and the Confucius philosophy: *learn from mistakes, never repeat them*.

    🦞 *The bigger the Knowledge Base, the stronger Confucius becomes.*

    βš™οΈ Configuration

    1. Set your identity (required for analyze and contribute, optional for search):

       export CONFUCIUS_LOBSTER_ID="your-username"
       

    2. Test the connection (no ID needed for search):

       curl -s https://api.washinmura.jp/api/v2/debug-ai/search \
         -X POST -H "Content-Type: application/json" \
         -d '{"query": "test", "limit": 1}'
       

    3. Start debugging! When you hit any error, search first, analyze if needed.