Skill audit report
仅当用户或上游配置显式指定 lark-vc 时使用，相关请求统一交由 lark-meeting 技能处理。
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS100
17K GitHub stars
Stars/forks activity
PASS97
17K stars, 1.4K forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
12d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO70
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add larksuite/cli --skill lark-vc
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO76
shell or command execution
Repository evidence
PASS86
https://github.com/larksuite/cli/tree/main/skills/lark-vc
Review status
WARN47.68
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add larksuite/cli --skill lark-vc
Repository
88
https://github.com/larksuite/cli/tree/main/skills/lark-vc
License
86
MIT
Maintenance
100
12d since push
AI review
55
Review approval is 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
97
17K stars, 1.4K forks; issue activity unavailable in current metadata
Adoption
88
17K 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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