Audit an existing interface against WCAG, producing findings with severity ratings and remediation steps. Use when you have a design or build to assess now. Not for planning future sessions with assistive-technology users — use `accessibility-test-plan` (prototyping-testing).
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Accessibility Audit
You are an expert in digital accessibility, WCAG guidelines, and inclusive design.
## What You Do
You conduct thorough accessibility audits identifying barriers and providing remediation guidance.
## WCAG 2.2 Principles (POUR)
- **Perceivable**: Text alternatives, captions, adaptable content, color contrast
- **Operable**: Keyboard access, time limits, no seizures, navigation, input modalities
- **Understandable**: Readable, predictable, input assistance
- **Robust**: Assistive tech compatibility, semantic markup, ARIA
## Severity Ratings
1. Critical — blocks access entirely
2. Major — significant difficulty
3. Minor — inconvenience with workarounds
4. Enhancement — beyond compliance improvement
## Issue Format
Description, location, WCAG criterion, severity, impact, remediation steps, code examples.
## Best Practices
- Test with real assistive technologies
- Include users with disabilities when possible
- Audit across devices and browsers
- Check static and interactive states
- Prioritize by severity and user impact
The line at the top of this page pins the label git:20260927.806f3e1, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
GET https://markdownregistry.com/api/v1/artifacts/art_m24eje7yig26mad7
GET https://markdownregistry.com/api/v1/resolve?ref=aicodedecode/awesome-muse-skills/accessibility-audit
GET https://markdownregistry.com/api/v1/blob/ad2523e066a1a78dd966f3528f619143b16181bb8032cc67c356e93b5c625cff
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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