Skill audit report

Openclaw Feishu audit report.

飞书插件 × OpenClaw 保姆级配置指南 & 社区支持 (0328 - 更新飞书cli调用指南,增加 API 耗尽根因排查、Lark Webhook 内网穿透方案)

REVIEWED · REVIEWSafe to tryGenerated Jun 16, 2026Heuristic metadata audit
86
Audit
83
Trust
80
Quality
93
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

83
Strong shortlist

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

INFO

76

690 GitHub stars

Recent maintenance

PASS

88

3mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency risk

INFO

64

command execution surface, network or browser surface

Install availability

PASS

92

npx skills add AlexAnys/openclaw-feishu

Repository evidence

PASS

86

https://github.com/AlexAnys/openclaw-feishu

Review status

PASS

88

AI review data available

Checks

Install and adoption review

7 passed · 2 review

Install path

92

PASS

npx skills add AlexAnys/openclaw-feishu

Repository

88

PASS

https://github.com/AlexAnys/openclaw-feishu

License

86

PASS

MIT

Maintenance

88

PASS

3mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

PASS

Usable description available

Dependency risk

64

CHECK

command execution surface, network or browser surface

Adoption

88

PASS

690 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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