Skill audit report
A set of installable AI agent skills for evidence-driven design award research, evaluation, matching, entry writing, and submission readiness, supporting multiple agent runtimes.
OpenAgentSkill Trust Score
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
111 GitHub stars
Stars/forks activity
WARN57
111 stars, 11 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
1d since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS100
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 SeanJ1ang/design-judge-skills
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS100
no high-risk permission surface in public metadata
Repository evidence
PASS86
https://github.com/SeanJ1ang/design-judge-skills
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add SeanJ1ang/design-judge-skills
Repository
88
https://github.com/SeanJ1ang/design-judge-skills
License
86
Apache-2.0
Maintenance
100
1d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
100
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
100
no high-risk permission surface in public metadata
Stars/forks activity
57
111 stars, 11 forks; issue activity unavailable in current metadata
Adoption
68
111 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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