What problem does it solve?
Evaluating whether a third-party or existing Agent Skill is safe and worth adopting is slow and error-prone, since manually reading every file, checking for risky commands, and judging structure quality takes significant effort. This Skill turns any local Skill directory, SKILL.md file, or zip archive into an evidence-backed quality interpretation report without ever executing the target's code.
Core Features & Use Cases
- 100-Point Quality Scoring: Scores a target Skill across 9 dimensions (spec compatibility, trigger signal, context efficiency, structure, usage readiness, safety, tests, maintenance, learning value) with red-line downgrades for critical risks.
- Static Safety Review: Scans for dangerous commands, network access, secret handling, prompt injection, and hidden characters, treating the target strictly as untrusted input and safely rejecting malicious zip archives.
- Bilingual HTML Reports: Generates a Simplified Chinese HTML report with an in-page Chinese/English switch, plus analysis.json, findings.json, qa_report.json, and summary.md.
- Use Case: Before adopting a third-party Agent Skill from a zip archive into your team, run the analyzer to get a score, risk level, evidence-linked findings, and an improvement roadmap for an informed adoption decision.
Quick Start
Ask the AI to statically analyze a local Skill directory or zip archive with this Skill and generate the Chinese HTML quality report with its 100-point score, risk review, and improvement roadmap.