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 redongreen · MCP Server · ★ 241
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is uSpec safe to install? View the security audit →
uSpec Generate design system documentation for your UI components — directly from your AI agent to Figma. You describe a component, an agent skill analyzes it using your Figma file as context, and renders the spec directly in your Figma file. Supports both Figma Console MCP and native Figma MCP. Works with Cursor, Claude Code, and Codex. What you can generate Get started Full documentation, installation guide, and examples at uSpec.design. License MIT — see LICENSE for details. Designed by Ian Guisard.
| Stars | 241 |
| Forks | 32 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 52.1732627715215/100 |
| Open Issues | 9 |
| Last Updated | 2026-09-03 |
| Created | 2026-01-23 |
| Platforms | claude-code, codex, mcp, node |
| Est. Tokens | ~14k |
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uSpec is Generate design system documentation for your UI components, directly from your AI agent. Renders into Figma or a portable .md file. Works with Cursor, Claude Code, and Codex.. It is categorized as a MCP Server with 241 GitHub stars.
uSpec is primarily written in TypeScript. It covers topics such as design-system, figma, mcp.
You can find installation instructions and usage details in the uSpec GitHub repository at github.com/redongreen/uSpec. The project has 241 stars and 32 forks, indicating an active community.
uSpec is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to uSpec on Agent Skills Hub include ux-ui-agent-skills, vibe, claude-talk-to-figma-mcp. 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: