The Plugin Evaluation Methodology skill provides a comprehensive, three-layer framework for measuring and calibrating the quality of AI agent plugins and skills. By integrating deterministic static analysis, multi-judge LLM evaluations, and Monte Carlo simulations, it scores skills across ten distinct dimensions—including triggering accuracy, orchestration fitness, and token efficiency. Whether you are debugging low performance metrics, avoiding anti-pattern flags, tuning marketplace badge thresholds, or benchmarking against gold-corpus Elo ratings, this skill delivers authoritative guidance and actionable remediation paths for high-reliability agent engineering.
