Skill audit report
Comprehensive guide to develop and improve Agent Skill performance. Contains best practices for skill formatting (frontmatter and metadata), naming, descriptions, fine-tuning activation triggers, evaluations, production-readiness and open sourcing. Activate when developing new skills or refining existing ones.
The Trust Score helps 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, 3 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
FAIL38
command execution surface, credential or environment access
Install availability
PASS92
npx skills add danicat/skills --skill skill-optimizer
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL18
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/danicat/skills/tree/main/agents/skill-optimizer
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add danicat/skills --skill skill-optimizer
Repository
88
https://github.com/danicat/skills/tree/main/agents/skill-optimizer
License
86
Apache-2.0
Maintenance
100
24d since push
AI review
55
The frontmatter uses a non-standard 'catalog' field instead of the recommended 'canonical' URL, which may reduce interoperability with other skill registries.
README/SKILL.md completeness
86
Usable description available
Dependency risk
38
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
18
secrets or environment access, shell or command execution
Stars/forks activity
32
16 stars, 3 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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