Skill audit report
ganzhi-basics Audit report.
干支基础子技能。用于天干地支推算、六十甲子查询、节气与五运六气关系映射。适用于中医运气学说入门学习与年份干支快速查询。触发词：干支、天干、地支、六十甲子、干支纪年、节气运气、ganzhi。
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
42 GitHub stars
Stars/forks activity
WARN43
42 stars, 7 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
3mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add dhicoc/wuyun-liuqi-skills --skill ganzhi-basics
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS100
no high-risk permission surface in public metadata
Repository evidence
PASS86
https://github.com/dhicoc/wuyun-liuqi-skills/tree/master/modules/ganzhi-basics
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add dhicoc/wuyun-liuqi-skills --skill ganzhi-basics
Repository
88
https://github.com/dhicoc/wuyun-liuqi-skills/tree/master/modules/ganzhi-basics
License
86
MIT
Maintenance
88
3mo since push
AI review
55
Review approval is missing
README/SKILL.md completeness
84
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
100
no high-risk permission surface in public metadata
Stars/forks activity
43
42 stars, 7 forks; issue activity unavailable in current metadata
Adoption
42
42 GitHub stars
Warnings
- Low GitHub adoption signal
- AI review approval is missing
- Quality score needs review
- GitHub adoption: 42 GitHub stars
- Stars/forks activity: 42 stars, 7 forks; issue activity unavailable in current metadata
- Review status: AI review approval is missing
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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