MCP servers for llm-evaluation

Tracking my journey into AI engineering, one module at a time. Fundamentals to agents, with hands-on projects. Open to all.

An open, reproducible trust layer for AI artifacts — skills, MCP servers, agents, and plugins. Assay inspects code, runs sandboxed behavioral audits, and generates verifiable reports. Help us build th

Executable AI agent readiness gate: GitHub Action, prompt injection evals, LangGraph traces, risk profiles, and bilingual EN/中文 docs.