Skill audit report
Production-readiness pass — audits and implements the full non-happy-path matrix: loading skeletons, empty states, error messages, partial data, i18n, offline, permissions, and first-run guidance. Use when preparing a surface for production or when the user says \"it crashes on empty data\" / \"there's no loading state\" / \"harden this\". Invoke when the user asks for harden on their UI, or mentions 'harden' alongside design / UI / frontend work.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
309 GitHub stars
Stars/forks activity
WARN57
309 stars, 17 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
15d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO62
command execution surface, external package install surface
Install availability
PASS92
npx skills add educlopez/ui-craft --skill harden
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO62
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/educlopez/ui-craft/tree/main/.agents/skills/harden
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add educlopez/ui-craft --skill harden
Repository
88
https://github.com/educlopez/ui-craft/tree/main/.agents/skills/harden
License
86
MIT
Maintenance
100
15d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
86
Usable description available
Dependency risk
62
command execution surface, external package install surface
Install command safety
92
standard package or runtime install path
Permission surface
62
shell or command execution, filesystem or document access
Stars/forks activity
57
309 stars, 17 forks; issue activity unavailable in current metadata
Adoption
68
309 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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