agentleFS
z-Zihanz-Zihan/awesome-skills/skill-review-pro/SKILL.md

skill-review-pro

Skill4 starsChanged 33 days agoNo licenceView on GitHub

AI Skill 质量评审系统。通过静态审查对 Skill 进行评分(100分制), 输出专业的评审报告和改进建议。模块化架构:主控编排 + 类型策略 + 评分模型 + 修复执行。 AI Skill QA System. Evaluates Skills via static analysis, with 100-point scoring, modular architecture with type-aware policies. 触发词:评审 skill, 测评 skill, skill 评分, skill 质量检查, 审查 skill, 改进 skill, 完善技能, 验证修复意见, 稳定性测试, 全库体检, benchmark, 发布核验, 发布确认, review skill, evaluate skill, improve skill, validate fix, skill quality, repo audit, publish check, verify publish.

The file

Show its rules and text

We split this skill into the rules it gives an agent

23 rules. About 0 are common, 20 are distinctive, and 3 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈20

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 3

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.