Skill audit report
A collection of MIT-licensed AI agent skills for food and nutrition science research, including literature review, systematic review, and journal formatting.
OpenAgentSkill Trust Score
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
FAIL30
16 GitHub stars
Stars/forks activity
FAIL32
16 stars, 1 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
2d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS100
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add PangenomeAI/academic-skills-food-nutrition
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO76
shell or command execution
Repository evidence
PASS86
https://github.com/PangenomeAI/academic-skills-food-nutrition
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add PangenomeAI/academic-skills-food-nutrition
Repository
88
https://github.com/PangenomeAI/academic-skills-food-nutrition
License
86
MIT
Maintenance
100
2d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
100
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
32
16 stars, 1 forks; issue activity unavailable in current metadata
Adoption
42
16 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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