by elayadesign · AI Tool · ★ 14.4k
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npx skills add elayadesign/ai-design-skills
npx skills add elayadesign/ai-design-skills --skill landing-page-designTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 14,431 |
| Forks | 1,086 |
| Language | Python |
| Category | AI Tool |
| License | MIT |
| Quality Score | 59/100 |
| Open Issues | 3 |
| Last Updated | 2026-11-01 |
| Created | 2026-07-29 |
| Platforms | python |
| Est. Tokens | ~11k |
AI Design Skills A growing collection of design skills for AI coding tools — Claude Code, Cursor, Codex, Windsurf, and anything else that reads a markdown rules file. Each skill is a self-contained folder. Install the ones you need. Skills More on the way. Upgrading an existing site instead of building new? That one lives in its own repo since it predates this collection.
These tools work well together with ai-design-skills for enhanced workflows:
Looking for a ai-design-skills alternative? If you're comparing ai-design-skills with other ai tool tools, these 3 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Examples of my Claude Code infrastructure with skill auto-activation, hooks, and agents
This tool has been deprecated. Use Agentic Document Extraction instead.
Visual Skills Pack for Obsidian: generate Canvas, Excalidraw, and Mermaid diagrams from text with Claude Code
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: