Skill audit report
数据分析师工作规程。当用户给出销售/业务数据问题、要求统计、对比、趋势、归因、结论或建议时使用。
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
198 GitHub stars
Stars/forks activity
WARN57
198 stars, 13 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
3d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
WARN60
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS82
database surface
Install availability
PASS92
npx skills add zj-unicom-ai/UniEmployee --skill data-analysis
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO74
filesystem or document access, database access
Repository evidence
PASS86
https://github.com/zj-unicom-ai/UniEmployee/tree/main/backend/skills/data-analysis
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add zj-unicom-ai/UniEmployee --skill data-analysis
Repository
88
https://github.com/zj-unicom-ai/UniEmployee/tree/main/backend/skills/data-analysis
License
86
MIT
Maintenance
100
3d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
84
Usable description available
Dependency risk
82
database surface
Install command safety
92
standard package or runtime install path
Permission surface
74
filesystem or document access, database access
Stars/forks activity
57
198 stars, 13 forks; issue activity unavailable in current metadata
Adoption
68
198 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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