Skill audit report
CrossSection Audit report.
Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"
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
INFO76
989 GitHub stars
Stars/forks activity
INFO77
989 stars, 276 forks; issue activity unavailable in current metadata
Recent maintenance
INFO62
9mo since push
License clarity
PASS86
GPL-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 OpenSourceAP/CrossSection
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/OpenSourceAP/CrossSection
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 OpenSourceAP/CrossSection
Repository
88
https://github.com/OpenSourceAP/CrossSection
License
86
GPL-2.0
Maintenance
62
9mo 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
77
989 stars, 276 forks; issue activity unavailable in current metadata
Adoption
88
989 GitHub stars
Warnings
- Quality score needs review
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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