Skill audit report
Focused interactive tutor for the Agent Skills Engineering path in AI Engineering from Scratch. Start or resume this route when a learner wants to create, discover, invoke, secure, evaluate, package, or port Agent Skills. Teaches one lesson per invocation and records evidence in AGENT-SKILLS-LEARNING.md.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS100
54K GitHub stars
Stars/forks activity
PASS100
54K stars, 9.4K forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
1d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS82
network or browser surface
Install availability
PASS92
npx skills add rohitg00/ai-engineering-from-scratch --skill learn-agent-skills
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN48
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/rohitg00/ai-engineering-from-scratch/tree/d18b8fe5a913c46011a3b06cb6ebd6a924414fd3/skills/learn-agent-skills
Review status
WARN51.11
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add rohitg00/ai-engineering-from-scratch --skill learn-agent-skills
Repository
88
https://github.com/rohitg00/ai-engineering-from-scratch/tree/d18b8fe5a913c46011a3b06cb6ebd6a924414fd3/skills/learn-agent-skills
License
86
MIT
Maintenance
100
1d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Usable description available
Dependency risk
82
network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
48
shell or command execution, filesystem or document access
Stars/forks activity
100
54K stars, 9.4K forks; issue activity unavailable in current metadata
Adoption
88
54K 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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