Skill audit report
Build original, accessible React command-center interfaces with the published @mdrbx/nerv-ui component library. Use for dashboards, monitoring terminals, operational tools, authentication screens, or sharp industrial HUD-style UI in React, Vite, or Next.js.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
86 GitHub stars
Stars/forks activity
WARN43
86 stars, 5 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
8d 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 mdrbx/nerv-ui --skill nerv-ui
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/mdrbx/nerv-ui/tree/master/skills/nerv-ui
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add mdrbx/nerv-ui --skill nerv-ui
Repository
88
https://github.com/mdrbx/nerv-ui/tree/master/skills/nerv-ui
License
86
MIT
Maintenance
100
8d 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
43
86 stars, 5 forks; issue activity unavailable in current metadata
Adoption
68
86 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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