Skill 审计报告
ab-equivalence 审计报告.
Compare two versions of an LLM-directed document - an original (teacher) and a candidate (student) - across a transfer set and return a per-case behavioural-equivalence verdict plus an efficiency signal. A transform-agnostic library capability other skills compose to gate a transform on behavioural sameness. TRIGGER when asked to A/B test two versions of a prompt / instruction / skill, to check whether a rewritten or compressed document still behaves the same as the original, to validate behavioural equivalence between two document versions, to gate a transform on no-regression, or when a skill needs the run-the-runner-on-both-versions-and-judge-equivalence capability.
OpenAgentSkill 信任评分
OpenAgentSkill 信任评分
Trust Score 帮助 Agent 在安装前判断一个 Skill 是否足以进入候选清单。
GitHub 采用度
警告48
31 个 GitHub Stars
Star/Fork 活跃度
警告43
31 个 Star,5 个 Fork; 当前元数据中没有议题活跃度信息
近期维护
通过100
距上次推送 22 天
许可证清晰度
通过86
Apache-2.0
README/SKILL.md 完整度
信息76
公开元数据需要更完整的 README/SKILL.md 上下文
依赖与运行时风险
通过90
公开元数据中未发现主要依赖风险提示
安装可用性
通过92
npx skills add bjcoombs/ai-native-toolkit --skill ab-equivalence
安装命令安全性
通过92
标准软件包或运行时安装路径
权限范围
信息74
filesystem or document access, database access
仓库证据
通过86
https://github.com/bjcoombs/ai-native-toolkit/tree/main/skills/ab-equivalence
审查状态
警告46
缺少 AI 审查批准
Agent 验证结果
信息54
暂未有 Agent 结果数据
检查项
安装与采用审查
安装路径
92
npx skills add bjcoombs/ai-native-toolkit --skill ab-equivalence
仓库
88
https://github.com/bjcoombs/ai-native-toolkit/tree/main/skills/ab-equivalence
许可证
86
Apache-2.0
维护
100
距上次推送 22 天
AI 审查
55
Review approval is missing
README/SKILL.md 完整度
84
Usable description available
依赖风险
90
公开元数据中未发现主要依赖风险提示
安装命令安全性
92
标准软件包或运行时安装路径
权限范围
74
filesystem or document access, database access
Star/Fork 活跃度
43
31 个 Star,5 个 Fork; 当前元数据中没有议题活跃度信息
采用度
42
31 个 GitHub Stars
警告
- Low GitHub adoption signal
- 缺少 AI 审查批准
- Quality score needs review
- GitHub adoption: 31 GitHub stars
- Stars/forks activity: 31 stars, 5 forks; issue activity unavailable in current metadata
- Review status: AI review approval is missing
方法
本报告综合公开元数据、AI 审查输出、仓库活跃度、安装就绪度、OpenAgentSkill 事件、质量评分、信任检查和 Agent 安全门槛;它不是完整的源代码安全审计。
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