mintwork

mintwork / wcag-audit-skill

WCAG 2.2 accessibility audit for AI coding agents

AI ships inaccessible UIs. This makes your agent find the barriers, verify each one, and fix them with minimal, explained changes.

npx @mintwork/wcag-audit-skill scan ./src                  # static source scan
npx @mintwork/wcag-audit-skill scan http://localhost:3000   # real-browser scan
Terminal demo: the scan reports 10 issues in a React component, each with severity, rule, WCAG criterion, file and line, evidence and a fix; the fixed component reports 0 issues

The problem

Ask an agent for a checkout form and it looks fine. A blind user hears "edit text, button, image". A keyboard user can't reach the Pay button at all. Roughly 95% of the top million home pages have detectable WCAG failures, and models learned from them.

Install the skill and say "audit this for accessibility and fix it". The agent runs a phased audit: static scan, real-browser scan, adversarial verification, fixes, and a report.

What it does

Install

Claude Code:

/plugin marketplace add mintwork/wcag-audit-skill
/plugin install wcag-audit@wcag-audit-skill

Any skills-compatible agent:

npx skills add https://github.com/mintwork/wcag-audit-skill --skill wcag-audit

GitHub Action

Findings appear as pull request annotations and under Security → Code scanning:

- uses: actions/checkout@v7
- uses: mintwork/wcag-audit-skill@v0

How is this different from axe or a linter?

eslint-plugin-jsx-a11y covers one framework with no browser and no fixes. axe and Lighthouse are runtime only, with no source locations. This uses axe-core under the hood, covers eight template languages, maps runtime results back to source, and drives an agent to fix and re-verify.

Open source, MIT licensed

Built in CI and published to npm with signed provenance. The full docs, changelog and issues are on GitHub.