Skill audit report
State-first design pass — inventories and implements all non-happy states (loading, empty, error, partial, conflict, offline) before the happy path, and refactors impossible boolean state to proper state machines. Use when starting a new screen, reviewing an existing one for edge-case gaps, or when the user says \"handle the error state\" / \"add loading states\" / \"what happens when data is missing\". Invoke when the user asks for unhappy on their UI, or mentions 'unhappy' 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
326 GitHub stars
Stars/forks activity
WARN57
326 stars, 17 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
21d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add educlopez/ui-craft --skill unhappy
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/unhappy
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add educlopez/ui-craft --skill unhappy
Repository
88
https://github.com/educlopez/ui-craft/tree/main/.agents/skills/unhappy
License
86
MIT
Maintenance
100
21d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Usable description available
Dependency risk
72
command execution 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
326 stars, 17 forks; issue activity unavailable in current metadata
Adoption
68
326 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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