Star200+

Skill audit report

Lunar Python Audit report.

日历、公历(阳历)、农历(阴历、老黄历)、佛历、道历，支持节假日、星座、儒略日、干支、生肖、节气、节日、彭祖百忌、每日宜忌、吉神宜趋凶煞宜忌、吉神(喜神/福神/财神/阳贵神/阴贵神)方位、胎神方位、冲煞、纳音、星宿、八字、五行、十神、建除十二值星、青龙名堂等十二神、黄道黑道日及吉凶等。lunar is a calendar library for Solar and Chinese Lunar.

REVIEWED · REVIEWNeeds reviewGenerated Aug 3, 2026Heuristic metadata audit
78
Audit
80
Trust
71
Quality
89
Security
62
Maintain
92
Install

OpenAgentSkill Trust Score

80
Strong shortlist

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

INFO

76

622 GitHub stars

Stars/forks activity

INFO

71

622 stars, 148 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

62

6mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add 6tail/lunar-python

Install command safety

PASS

92

standard package or runtime install path

Permission surface

PASS

86

filesystem or document access

Repository evidence

PASS

86

https://github.com/6tail/lunar-python

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

9 Passed · 3 Needs review

Install path

92

PASS

npx skills add 6tail/lunar-python

Repository

88

PASS

https://github.com/6tail/lunar-python

License

86

PASS

MIT

Maintenance

62

CHECK

6mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

PASS

Usable description available

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Install command safety

92

PASS

standard package or runtime install path

Permission surface

86

PASS

filesystem or document access

Stars/forks activity

71

CHECK

622 stars, 148 forks; issue activity unavailable in current metadata

Adoption

88

PASS

622 GitHub stars

Warnings

  • Quality score needs review

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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