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 htmlstreamofficial · Agent Tool · ★ 6.4k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is preline safe to install? View the security audit →
Preline UI is an open-source Tailwind CSS UI component library for building modern websites and apps. It includes UI blocks, templates, plugins, a Figma design system, and more. ✨ About Preline Preline helps teams build modern websites and web apps faster with reusable Tailwind CSS components, interactive headless Tailwind CSS plugins, Tailwind CSS templates, and production-ready Tailwind CSS examples. It is designed for developers who want flexible markup, scalable design systems, and polished UI patterns without rebuilding everything from scratch. 204 free Tailwind CSS blocks and sections 5 free Tailwind CSS templates 27 headless Tailwind CSS plugins Full documentation, Figma, themes, and agent skills ⚡ Getting Started Start with any working Tailwind CSS project and make
| Stars | 6,389 |
| Forks | 416 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 63.2165908660454/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-21 |
| Created | 2022-05-15 |
| Platforms | node |
| Est. Tokens | ~17k |
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preline is Preline UI is an open-source set of prebuilt UI components based on the utility-first Tailwind CSS framework.. It is categorized as a Agent Tool with 6.4k GitHub stars.
preline is primarily written in TypeScript. It covers topics such as agent-skills, css, html.
You can find installation instructions and usage details in the preline GitHub repository at github.com/htmlstreamofficial/preline. The project has 6.4k stars and 416 forks, indicating an active community.
The top alternatives to preline on Agent Skills Hub include composio, repomix, mastra. 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: