agnosticui: AgnosticUI Local (v2) is a CLI-based UI component library that copies components directly into your project

by AgnosticUI · Agent Tool · ★ 833

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

How to install agnosticui

npx agnosticui-cli init --framework vue  # or react, lit, svelte
npx agnosticui-cli add Button Card Input

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 66/100

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. Full audit →

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.

accessibilityagent-skillsai-agentscontext-engineeringcssgenerative-uijavasciptlitprompt-engineeringreactjs

Quick Facts

Stars833
Forks46
LanguageTypeScript
CategoryAgent Tool
LicenseApache-2.0
Quality Score66/100
Open Issues2
Last Updated2026-11-07
Created2020-09-07
Platformsbrowser, cli, node
Est. Tokens~16k

About agnosticui

Copy the source  ·  Own the code  ·  Framework-agnostic  ·  Built for humans and AI agents One component library. Every framework. Documentation · Login AI Playbook · Onboarding AI Playbook · Dashboard AI Playbook · Components · Quick Start Source-first architecture AgnosticUI components are copied into your project at install time.

Compatible Skills

These tools work well together with agnosticui for enhanced workflows:

  • vibe — semantic(0.34)+complementary+rare_topics+same_lang+similar_pop+shared_platform (66%)
  • shadcn-ui-mcp-server — semantic(0.21)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • openpencil — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)
  • tool-ui — semantic(0.42)+complementary+same_lang+similar_pop+shared_platform (60%)
  • ai — semantic(0.16)+complementary+rare_topics+same_lang+shared_platform (59%)

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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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