a11y-specialist-skills: Accessibility specialist skills plugin for Claude Code

by masuP9 · Claude Skill · ★ 60

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

How to install a11y-specialist-skills

/plugin marketplace add masuP9/a11y-specialist-skills
/plugin install a11y-specialist-skills@a11y-specialist-skills

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 69/100

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.

Quick Facts

Stars60
Forks3
LanguageTypeScript
CategoryClaude Skill
LicenseMIT
Quality Score69/100
Open Issues4
Last Updated2026-10-22
Created2026-01-14
Platformsclaude-code, node
Est. Tokens~15k

About a11y-specialist-skills

a11y-specialist-skills 日本語版 (Japanese) Accessibility specialist skills plugin for Claude Code. Provides accessibility review skills based on WCAG 2.2 & WAI-ARIA APG. Skills Installation As a Plugin (Recommended) As a Standalone Skill (Symlink) For Development Usage reviewing-a11y (Accessibility Review) Claude w

Compatible Skills

These tools work well together with a11y-specialist-skills for enhanced workflows:

  • Claude-Zeroclaw — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • linear-claude-skill — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)
  • toonify-mcp — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)
  • mcp-accessibility-scanner — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)

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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:

View on GitHub → Browse Claude Skill tools