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 zwgnr · MCP Server · ★ 205
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is BaseLayer safe to install? View the security audit →
BaseLayer Overview BaseLayer is a comprehensive React component library built for modern development workflows and AI-powered tooling. It combines the accessibility and power of React Aria Components with the styling flexibility of Tailwind CSS, creating a robust foundation for building incredible user interfaces. Docs https://baselayer.dev Contributing Coming soon, but in the meantime, feel free to open an issue or reach out!
| Stars | 205 |
| Forks | 6 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 44.4989901717692/100 |
| Last Updated | 2025-12-24 |
| Created | 2023-06-10 |
| Platforms | mcp, node |
| Est. Tokens | ~309k |
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BaseLayer is Re-usable multi part components built on React Aria and TailwindCSS.. It is categorized as a MCP Server with 205 GitHub stars.
BaseLayer is primarily written in TypeScript. It covers topics such as ai, component-registry, components.
You can find installation instructions and usage details in the BaseLayer GitHub repository at github.com/zwgnr/BaseLayer. The project has 205 stars and 6 forks, indicating an active community.
BaseLayer is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to BaseLayer on Agent Skills Hub include daisyui-mcp, tool-ui, mcp-gearbox. 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: