Skill audit report
lark-attendance Audit report.
飞书考勤打卡：查询自己的考勤打卡记录
OpenAgentSkill Trust Score
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, 1.3K forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
Pushed today
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO70
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO64
command execution surface, network or browser surface
Install availability
PASS92
npx skills add larksuite/cli --skill lark-attendance
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN50
shell or command execution, network or browser access
Repository evidence
PASS86
https://github.com/larksuite/cli/tree/main/skills/lark-attendance
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add larksuite/cli --skill lark-attendance
Repository
88
https://github.com/larksuite/cli/tree/main/skills/lark-attendance
License
86
MIT
Maintenance
100
Pushed today
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Usable description available
Dependency risk
64
command execution surface, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
50
shell or command execution, network or browser access
Stars/forks activity
97
17K stars, 1.3K forks; issue activity unavailable in current metadata
Adoption
88
17K GitHub stars
Warnings
- Permission surface may require sandboxing
- Quality score needs review
- Permission surface needs review: shell or command execution, network or browser access
- Permission surface: shell or command execution, network or browser access
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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