What problem does it solve? Plugin and skill authors often receive quality scores without understanding how those numbers were computed, which dimensions matter most, or how to improve a low grade. This Skill provides the authoritative reference for the PluginEval methodology so you can interpret reports, prioritize fixes, and calibrate thresholds. ## Core Features & Use Cases - Three-Layer Evaluation Model: Documents static analysis, LLM judge, and Monte Carlo simulation layers with per-dimension blend weights. - Composite Scoring & Badges: Explains the ten weighted dimensions, anti-pattern penalties, letter grades, and Bronze-to-Platinum badge thresholds including Elo ranking. - Improvement Guidance: Provides weight-ordered fix priorities, anti-pattern remediation, and troubleshooting for common scoring surprises. - Use Case: A skill receives a D in triggering_accuracy. Use this Skill to learn that the description needs a "Use this skill when..." phrase with three or more concrete trigger contexts, then verify the fix with a quick-depth rescore. ## Quick Start Ask the assistant to explain why a skill scored low on orchestration fitness and what changes would raise that dimension's grade.