Skill audit report
Maggy audit report.
What started as an opinionated Claude Code setup kit is now an autonomous AI engineering command center
OpenAgentSkill Trust Score
Stars, maintenance, license, docs, install safety, permission surface, 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
692 GitHub stars
Stars/forks activity
INFO71
692 stars, 59 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
2d since push
License clarity
PASS86
MIT
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 alinaqi/maggy
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO62
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/alinaqi/maggy
Review status
PASS88
AI review data available
Real agent outcomes
INFO58
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add alinaqi/maggy
Repository
88
https://github.com/alinaqi/maggy
License
86
MIT
Maintenance
100
2d 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
62
shell or command execution, filesystem or document access
Stars/forks activity
71
692 stars, 59 forks; issue activity unavailable in current metadata
Adoption
88
692 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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