No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by codewithMUHILAN · MCP Server · ★ 871
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Lightswind-UI-Library safe to install? View the security audit →
Lightswind UI The world's first AI-native, CLI-first component library for React. 160+ animated, accessible, production-ready components — delivered as raw source code, owned by you forever. Documentation · Component Library · Pro License · MCP Server · Changelog What is Lightswind UI? Lightswind UI is a source-code component library built on the same philosophy pioneered b
| Stars | 871 |
| Forks | 98 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 73.9554677695349/100 |
| Last Updated | 2026-07-24 |
| Created | 2023-07-11 |
| Platforms | claude-code, cli, mcp, node |
| Est. Tokens | ~17k |
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Lightswind-UI-Library is The AI-native CLI-first React component library. 160+ animated, accessible, production-ready components with MCP Server support for Cursor, Claude & GitHub Copilot. Copy-paste architecture — you own t. It is categorized as a MCP Server with 871 GitHub stars.
Lightswind-UI-Library is primarily written in TypeScript. It covers topics such as ai-native, animated-components, component-library.
You can find installation instructions and usage details in the Lightswind-UI-Library GitHub repository at github.com/codewithMUHILAN/Lightswind-UI-Library. The project has 871 stars and 98 forks, indicating an active community.
Lightswind-UI-Library is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Lightswind-UI-Library on Agent Skills Hub include vibe, ux-ui-agent-skills, Claude-Code-Agent-Monitor. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: