Skill audit report

Zh Humanizer Literary Audit report.

一个中文去AI味与文采增强的Codex技能,用于将草稿改得更像人写,保留事实和作者声音。

REVIEWED · REVIEWSafe to tryGenerated Aug 23, 2026Heuristic metadata audit
82
Audit
75
Trust
76
Quality
84
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

75
Strong shortlist

OpenAgentSkill Trust Score

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

GitHub adoption

WARN

48

67 GitHub stars

Stars/forks activity

WARN

43

67 stars, 5 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

16d since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

INFO

78

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

INFO

72

command execution surface

Install availability

PASS

92

npx skills add mengke-wang/zh-humanizer-literary

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

76

shell or command execution

Repository evidence

PASS

86

https://github.com/mengke-wang/zh-humanizer-literary

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

7 Passed · 6 Needs review

Install path

92

PASS

npx skills add mengke-wang/zh-humanizer-literary

Repository

88

PASS

https://github.com/mengke-wang/zh-humanizer-literary

License

86

PASS

MIT

Maintenance

100

PASS

16d since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

72

CHECK

command execution surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

76

CHECK

shell or command execution

Stars/forks activity

43

FIX

67 stars, 5 forks; issue activity unavailable in current metadata

Adoption

68

INFO

67 GitHub stars

Warnings

  • Quality score needs review
  • GitHub adoption: 67 GitHub stars
  • Stars/forks activity: 67 stars, 5 forks; issue activity unavailable in current metadata

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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