Skill audit report
Open College Courses audit report.
open-college-courses
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
INFO62
238 GitHub stars
Stars/forks activity
WARN57
238 stars, 19 forks; issue activity unavailable in current metadata
Recent maintenance
INFO62
10mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO74
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS82
database surface
Install availability
PASS92
npx skills add sudonam/open-college-courses
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/sudonam/open-college-courses
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 sudonam/open-college-courses
Repository
88
https://github.com/sudonam/open-college-courses
License
86
MIT
Maintenance
62
10mo since push
AI review
88
Approved with no listed issues
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
238 stars, 19 forks; issue activity unavailable in current metadata
Adoption
68
238 GitHub stars
Warnings
- Quality score needs review
- Documentation summary is thin
- Stars/forks activity: 238 stars, 19 forks; issue activity unavailable in current metadata
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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