Skill audit report
Generate annotated code reading tutorials from your own codebase. Three surfaces - tutorial generation, vocabulary management, and learning-state inspection. Tracks vocabulary with status state machine, supports six writing-to-learn entry points and five audience-facing entry points.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
26 GitHub stars
Stars/forks activity
WARN43
26 stars, 6 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
24d since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS86
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 Terryc21/tutorial-creator --skill tutorial-creator
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN50
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/Terryc21/tutorial-creator/tree/main/skills/tutorial-creator
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add Terryc21/tutorial-creator --skill tutorial-creator
Repository
88
https://github.com/Terryc21/tutorial-creator/tree/main/skills/tutorial-creator
License
86
Apache-2.0
Maintenance
100
24d since push
AI review
55
No critical security or compliance issues found.
README/SKILL.md completeness
86
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
50
shell or command execution, filesystem or document access
Stars/forks activity
43
26 stars, 6 forks; issue activity unavailable in current metadata
Adoption
42
26 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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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