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confucius-debug孔子调试

Agent Skill

confucius-debug 用于处理浏览器自动化、网页检查和页面信息提取,适合在 OpenClaw 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

33,549

周安装

1,412

GitHub Stars

公开资料未说明

下载量

11,748
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:confucius-debug(孔子调试)
来源仓库:https://github.com/sstklen/confucius-debug
安装命令:
openclaw skills install confucius-debug
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install confucius-debug

简介

永不重复错误的 AI 调试助手,搜索知识库以进行即时修复。

  • 适合在 OpenClaw 中需要让 Agent 打开页面或读取网页时使用。
  • 可结合来源仓库和原始 README 核验具体用法,通过 clawhub 安装。
  • 安装前建议确认权限范围、维护状态及是否会触发联网或文件读写。
  • confucius-debug 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

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
env

Confucius Debug — 孔子除錯

*"不貳過" — Never repeat a mistake.* (Confucius, Analects 6.3)

IMPORTANT — 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 — there's a good chance the answer is already there.

AI-powered debugging assistant backed by the YanHui Knowledge Base — 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? → Use the fix directly
   Not found? ↓
2. Confucius AI analyzes (FREE)
    ↓
   High confidence? → Fix saved to KB → Next person gets it FREE
   Low confidence? → status: "unsolved"
    ↓
3. debug_escalate (FREE) — send environment + logs
    ↓
   Queued for offline research → solved → added to KB

Tools

confucius_search — 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 — 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 — Why this happened
  • fix_description — How to fix it
  • fix_patch — Actual code to apply
  • confidence — How sure Confucius is

confucius_escalate — 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\
  at file.ts:42",
    "tried": ["restarted", "cleared cache", "downgraded version"],
    "project_structure": "src/ routes/ db/"
  }'

What you provide:

  • environment — OS, runtime versions, key dependencies
  • logs — Recent error output (last 50 lines)
  • tried — List of things already attempted
  • project_structure — Brief overview of project layout

confucius_contribute — 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?

PlatformBugs SolvedA-Rate
MCP (Model Context Protocol)26187%
Anthropic / Claude39280%
Telegram10197%
Memory / RAG9487%
Browser7392%
OpenAI / GPT5487%
Docker5184%
Discord4093%
Cron / Scheduler3792%
WhatsApp1694%
Google / Gemini15100%
Ollama / Local LLM1493%

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"
  1. 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}'
  1. 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 KBconfucius_search("your error message")
  3. Found a match? — Apply the fix directly
  4. No match?confucius_analyze("description", "error message")
  5. Fixed it yourself?confucius_contribute(...) to help others

External Endpoints

ServiceURLPurpose
Confucius Debug APIhttps://api.washinmura.jp/api/v2/debug-aiSearch, Analyze, Contribute
Confucius MCPhttps://api.washinmura.jp/mcp/debugMCP 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 — never repeat a mistake).

Credits

Powered by Claude (Anthropic) and the Confucius philosophy: *learn from mistakes, never repeat them*.

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

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

73.99%
按下载量换算8,692

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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