Skill audit report
这是我准备写的第一本书，其实早些时候已经打算开始写书了，只是苦于没有写书经验，无从下手。写书不同于博客，写书需要将知识，经验等系统化地讲述出来，而我现在恰巧缺乏这种表现能力。因此我决定在这里将项目中零散的东西记录下来，然后后期润色一下，写成一本书。
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
549 GitHub stars
Stars/forks activity
INFO65
549 stars, 48 forks; issue activity unavailable in current metadata
Recent maintenance
FAIL22
5y since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add azl397985856/automate-everything
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/azl397985856/automate-everything
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add azl397985856/automate-everything
Repository
88
https://github.com/azl397985856/automate-everything
License
86
Apache-2.0
Maintenance
20
5y since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
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
86
filesystem or document access
Stars/forks activity
65
549 stars, 48 forks; issue activity unavailable in current metadata
Adoption
88
549 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Warnings
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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