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 bergside · Codex Skill · ★ 2.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-design-skills safe to install? View the security audit →
Awesome Design Skills A curated registry of design system skill files for AI-powered agentic tools like Claude Code, Cursor, Codex, and others. Pull any skill into your project with a single command. Each skill now ships as a folder with: for AI-agent instructions (tokens, component rules, accessibility constraints, quality gates) for human-readable design intent, rationale, and implementation notes Preview all design skills on typeui.sh Built and maintained by Bergside. Powered by typeui.sh. Contents Quick Start What is a Design Skill? Design Skills Usage Registry Structure Contributing License Quick Start Pull any design skill directly into your project using typeui.sh: For example, to pull the Glassmorphism design skill: bash npx typeui.sh pull glass
| Stars | 2,847 |
| Forks | 275 |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 69.4583508744932/100 |
| Open Issues | 15 |
| Last Updated | 2026-06-28 |
| Created | 2026-03-09 |
| Platforms | claude-code, codex |
| Est. Tokens | ~18k |
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awesome-design-skills is List of 67 awesome DESIGN.md and SKILL.md design skill files for agentic tools like Claude Design, Google Stitch, Codex, Cursor, and other AI tools. It is categorized as a Codex Skill with 2.8k GitHub stars.
You can find installation instructions and usage details in the awesome-design-skills GitHub repository at github.com/bergside/awesome-design-skills. The project has 2.8k stars and 275 forks, indicating an active community.
awesome-design-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to awesome-design-skills on Agent Skills Hub include awesome-agent-skills, cursor-talk-to-figma-mcp, claude-workflow-v2. 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: