by seungdori · MCP Server · ★ 76
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Featured in: AI Design Tools
codex mcp add web-stylebook -- npx -y web-stylebook-mcp@latest
claude mcp add web-stylebook -- npx -y web-stylebook-mcp@latestTaken from the project's README on GitHub.
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.
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 | 76 |
| Forks | 0 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69/100 |
| Open Issues | 3 |
| Last Updated | 2026-11-04 |
| Created | 2026-06-22 |
| Platforms | browser, claude-code, codex, mcp, node |
| Est. Tokens | ~19k |
web-stylebook-mcp Design intelligence for AI coding agents. Stop shipping the same hero-plus-three-cards. Your agent gets scored design contracts — directions, interface-design plans, UX-principle plans, UI-state plans, tokens, evidence-backed audit plans — then writes and verifies the code from evidence.
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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: