Skill audit report
论文笔记生成（3 步流水线的第 3 步）。补充概念库，为推荐论文生成完整笔记， 链接回填到推荐文件；目录页默认自动刷新，git 自动化默认关闭。 触发词："批量笔记"、"跑一下论文笔记"
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS86
1.2K GitHub stars
Stars/forks activity
INFO77
1.2K stars, 98 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
17d since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add huangkiki/dailypaper-skills --skill daily-papers-notes
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO76
shell or command execution
Repository evidence
PASS86
https://github.com/huangkiki/dailypaper-skills/tree/main/skills/daily-papers-notes
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add huangkiki/dailypaper-skills --skill daily-papers-notes
Repository
88
https://github.com/huangkiki/dailypaper-skills/tree/main/skills/daily-papers-notes
License
86
Apache-2.0
Maintenance
100
17d since push
AI review
55
The skill assumes the presence of shared configuration files and the paper-reader skill; if the repository is not fully cloned or the pipeline is run in isolation, these dependencies may be missing.
README/SKILL.md completeness
84
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
76
shell or command execution
Stars/forks activity
77
1.2K stars, 98 forks; issue activity unavailable in current metadata
Adoption
88
1.2K GitHub stars
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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