Skill audit report

同事.Skill — 赛博永生 audit report.

将同事、导师、搭档的工作经验和性格永久保存为 AI Skill。提供飞书、钉钉、Slack、微信聊天记录、邮件等多源数据采集,生成真正能替他工作的 AI Skill——用他的技术规范写代码,用他的语气回答问题,知道他什么时候会甩锅。

REVIEWED · REVIEWSafe to tryGenerated Jun 16, 2026Heuristic metadata audit
94
Audit
88
Trust
100
Quality
93
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

88
Production candidate

Stars, maintenance, license, docs, dependency risk, and installability.

The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

PASS

100

18K GitHub stars

Recent maintenance

PASS

100

29d since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

WARN

60

Public metadata needs stronger README/SKILL.md context

Dependency risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add titanwings/colleague-skill

Repository evidence

PASS

86

https://github.com/titanwings/colleague-skill

Review status

PASS

88

AI review data available

Checks

Install and adoption review

7 passed · 3 review

Install path

92

PASS

npx skills add titanwings/colleague-skill

Repository

88

PASS

https://github.com/titanwings/colleague-skill

License

86

PASS

MIT

Maintenance

100

PASS

29d since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

60

CHECK

Description is too thin for confident adoption

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Adoption

88

PASS

18K GitHub stars

Warnings

  • Documentation summary is thin
  • README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context

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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