specification.website: Website specification — HTML, accessibility, security, SEO, agent-readiness. Platform-agnostic, sourced, MIT

by jdevalk · MCP Server · ★ 923

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 60/100

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.

accessibilityagent-readinessastrocloudflare-pagesllms-txtmcpseospecificationweb-securityweb-standards

Quick Facts

Stars923
Forks53
LanguageTypeScript
CategoryMCP Server
Quality Score60/100
Open Issues2
Last Updated2026-11-04
Created2026-05-29
Platformsbrowser, mcp, node
Est. Tokens~15k

About specification.website

The Website Specification The website specification — from to , from WCAG contrast to . Platform-agnostic, sourced on every page, written for humans and agents. MIT licensed, open for pull requests. Live site:

Compatible Skills

These tools work well together with specification.website for enhanced workflows:

  • on-page-seo — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • agentic-seo-skills — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)

specification.website alternative? Top 6 similar tools

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    ⚒️ Open-source game wiki template. Astro + Cloudflare Pages. Free, fast, beginner-friendly. Static-first, zero

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    Full computer-use for AI agents. Self-learning workflows. Native macOS. No screenshots required.

  • gtm-engineer-skills by onvoyage-ai · ⭐ 1.3k

    Claude Code skill for improving website AEO (AI Engine Optimization) and GEO (Generative Engine Optimization)

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How this security grade is produced

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:

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