Skill audit report
Scholaraio audit report.
Scholar All-In-One: A research infrastructure for AI agents
OpenAgentSkill Trust Score
Stars, maintenance, license, docs, dependency risk, and installability.
The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
512 GitHub stars
Recent maintenance
PASS100
7d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO74
Public metadata needs stronger README/SKILL.md context
Dependency risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add ZimoLiao/scholaraio
Repository evidence
PASS86
https://github.com/ZimoLiao/scholaraio
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add ZimoLiao/scholaraio
Repository
88
https://github.com/ZimoLiao/scholaraio
License
86
MIT
Maintenance
100
7d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Adoption
88
512 GitHub stars
Warnings
- Quality score needs review
- Documentation summary is thin
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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