confucius-debugAI debugging assistant that never repeats a mistake. Searches the YanHui Knowledge Base (6,800+ scraped issues, 980+ imported solutions) for instant fixes, o...
Install via ClawdBot CLI:
clawdbot install sstklen/confucius-debugGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://api.washinmura.jp/api/v2/debug-ai/searchCalls external URL not in known-safe list
https://api.washinmura.jp/confuciusAudited Apr 17, 2026 · audit v1.0
Generated Mar 20, 2026
Developers building AI agents with tools like OpenClaw or MCP encounter runtime errors, such as plugin failures or integration issues. This skill provides instant access to a knowledge base of verified fixes, reducing debugging time from hours to seconds and preventing repeated mistakes across projects.
Maintainers of community or business bots face common errors like API conflicts or connectivity drops. The skill searches pre-solved issues for platforms like Telegram and Discord, offering immediate patches and escalation paths for unsolved bugs, ensuring high uptime and user satisfaction.
DevOps engineers deploying AI applications in Docker containers encounter environment-specific errors, such as dependency mismatches or runtime crashes. The skill analyzes logs and suggests fixes based on historical data, streamlining deployment and reducing infrastructure downtime.
Students or educators working on AI projects using tools like Anthropic SDK or Ollama run into configuration or code errors. The skill offers free, step-by-step debugging with a knowledge base tailored to learning environments, fostering faster problem-solving and knowledge retention.
Teams integrating AI services like Google Gemini or OpenAI into enterprise systems face complex errors related to APIs, memory, or scheduling. The skill escalates unsolved issues for research, building a shared knowledge base that improves reliability and reduces support costs over time.
Offer core debugging tools like search and analyze for free to attract users, then charge for premium features such as advanced analytics, priority escalation, or custom knowledge base integrations. Revenue comes from subscription tiers or enterprise licenses.
License the skill and knowledge base to companies developing AI products, providing them with a dedicated debugging assistant for their teams. Revenue is generated through annual licensing fees based on user count or usage volume.
Maintain the skill as open-source to foster community contributions and adoption, while offering commercial services like hosted instances, professional support, or training workshops. Revenue streams include consulting, hosting fees, and sponsored features.
💬 Integration Tip
Integrate via MCP for seamless use in Claude Desktop or Claude Code, ensuring automatic error handling and access to all tools without manual setup.
Scored Apr 19, 2026
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