nerv-ui: Typed React command-center components, live examples, and a portable coding-agent skill

by mdrbx · Codex Skill · ★ 90

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install nerv-ui

npm install @mdrbx/nerv-ui framer-motion
git clone https://github.com/mdrbx/nerv-ui.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 62/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-skillsclaude-codecodexcomponent-librarydashboarddesign-systemevangelionframer-motionhudnerv

Quick Facts

Stars90
Forks6
LanguageTypeScript
CategoryCodex Skill
LicenseMIT
Quality Score62/100
Open Issues1
Last Updated2026-10-04
Created2026-03-08
Platformsclaude-code, codex, node
Est. Tokens~17k

About nerv-ui

NERV-UI Typed React command-center components, plus a portable agent skill. Build original, sharp industrial dashboards, terminals, and flows in React without rebuilding the design system from scratch. &nbsp; <a href="https://mdrbx.github.io/nerv-

Compatible Skills

These tools work well together with nerv-ui for enhanced workflows:

  • ui-beats — semantic(0.40)+complementary+shared_fw(react)+rare_topics+same_lang+similar_pop+shared_platform (81%)
  • aicanvas — semantic(0.36)+complementary+shared_fw(react)+rare_topics+same_lang+similar_pop+shared_platform (80%)
  • starwind-ui — semantic(0.34)+complementary+shared_fw(react)+rare_topics+same_lang+similar_pop+shared_platform (74%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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