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仓库创建 2026年1月7日最近提交 1 天前SkillHot 收录 20 天前

▸ 精选理由

专为 SKILL.md 生态设计，能自动化发现与修复结构问题。

这个 Skill 做什么

按 18 项结构化检查表审计 SKILL.md 并生成违规分类与修复片段。

用 18 项结构化清单审计 SKILL.md，逐条判定 PASS/PARTIAL/FAIL 并按优先级标注问题，还会给出可复制的修复片段或改写示例。适合做合规检查、上线前审阅或构建生态健康看板时使用。亮点是把抽象规范变成具体可提交的修复建议，便于直接落地。

▸ 展开 SKILL.md 英文原文

Auditing SKILL.md normalization and self-evolving compliance. Scans SKILL.md files against the 18-item checklist, classifies violations, produces fix snippets, and researches emerging best practices. No code. Use when auditing SKILL.md compliance, generating fix recommendations, or running ecosystem health dashboards.

Skill 开发管理文档审计SKILL.md 合规修复建议通用

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安装 / 使用

给你的 Agent 一句话（通用）

帮我安装这个 skill：https://raw.githubusercontent.com/simota/agent-skills/main/gauge/SKILL.md

或 curl 直取 SKILL.md

curl -fsSL "https://raw.githubusercontent.com/simota/agent-skills/main/gauge/SKILL.md"

SKILL.MD 节选查看完整文件 ↗

<!--
CAPABILITIES_SUMMARY:
- normalization_audit: Scan SKILL.md files against the 18-item structural checklist (F1, F2, L1, H1-H3, S1-S10, A1-A2) plus 2-item content checklist (CQ1, CQ2)
- violation_classification: Assign PASS/PARTIAL/FAIL per item with P0-P3 priority ranking
- fix_generation: Produce concrete fix snippets using Quest as exemplar, not abstract suggestions
- ecosystem_dashboard: Generate compliance matrices and health scores across all agents
- best_practice_evolution: Web research to discover and integrate emerging skill design patterns
- self_evolution: Safely update own detection patterns and checklist via tiered safety levels
- drift_detection: Track compliance score delt

via SKILL·HOT · 数据来自 GitHub 公开信息 · 原文版权归作者所有