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A11y

Community
Houseofmvps
a11y

Accessibility audit + auto-fix (WCAG 2.2 A/AA). Scans built/static HTML for screen-reader, keyboard, and structure failures, fixes the deterministic ones, and escalates to a rendered scan for contrast and focus. Use when the user wants to check or improve accessibility, fix WCAG issues, or pass an a11y review.

Overview

PublisherHouseofmvps
Repositoryultraship
Skill namea11y
Stars
122
Forks
14
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Houseofmvps on GitHub. Read the source before you install it.

Installation

Install the A11y AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Houseofmvps/ultraship.git /tmp/ultraship
mkdir -p .claude/skills
cp -r /tmp/ultraship/skills/a11y .claude/skills/a11y
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable A11y in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads A11y on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so A11y is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Accessibility Audit + Auto-Fix (WCAG 2.2)

AI builders ship accessibility violations by default — missing alt text, unlabeled inputs, icon-only buttons, no lang, broken heading order. These are legally consequential (ADA, EU Accessibility Act) and most are deterministically detectable and fixable. This skill finds them AND fixes them.

Process

Phase 1: Scan

Run the static scanner on the project (point it at built/exported HTML, e.g. dist/, build/, out/, .next/, or public/):

bash
node ${CLAUDE_PLUGIN_ROOT}/tools/a11y-scanner.mjs <project-directory>

Parse the JSON: findings[] ({ file, severity, category, rule, message }), summary (counts by severity), and scores.a11y (0–100, or null when no HTML found).

Many pages, each needing fixes? Escalate to a dynamic Workflow (describe the audit and include the word "workflow") so scan → fix → verify runs across pages in parallel instead of one at a time.

Phase 2: Report

Present findings grouped by rule, highest severity first. Map each to its WCAG criterion (already in the message). Make clear which are auto-fixable now vs which need a rendered scan (Phase 4).

Phase 3: Fix (use the Edit tool on the source files)

Apply the deterministic fix for each finding. Do not invent content — for alt text and labels, derive from nearby context (filename, heading, surrounding copy, name/placeholder); if genuinely ambiguous, ask the user rather than guessing.

RuleFix
html-missing-lang / html-empty-langAdd lang="en" (or the document's real language) to <html>
img-missing-altAdd alt="<concise description>" from context; use alt="" only if the image is purely decorative
input-image-missing-altAdd alt="<what the button does>"
control-missing-labelAdd a <label for="id">, or aria-label/aria-labelledby. A placeholder is NOT a label — keep it but add a real label
button-no-textAdd visible text, or aria-label="<action>" for icon-only buttons
link-no-textAdd link text, or aria-label; if it wraps an icon, give the icon alt/aria-label
link-generic-textRewrite "click here"/"read more" to state the destination ("Read the pricing guide")
positive-tabindexChange to tabindex="0" (or remove) and fix order via DOM order
viewport-zoom-disabledRemove user-scalable=no / maximum-scale=1 from the viewport meta
duplicate-idMake each id unique (and update its label/aria references)
broken-aria-referencePoint aria-labelledby/aria-describedby/for at a real element id, or add the missing element
empty-headingRemove the empty heading or give it text
heading-skipInsert the missing level or demote the heading so levels don't jump
missing-titleAdd a descriptive <title> in <head>
missing-main-landmarkWrap the primary content in <main>

Phase 4: Escalate to a rendered scan (contrast, focus, reading order)

The static scanner cannot see computed styles or focus behavior. When a URL or running dev server is available, run a rendered audit — these tools need no install (npx fetches them) and cover color contrast (WCAG 1.4.3), focus visibility, and ARIA state:

bash
# Pa11y (axe + htmlcs runners). Use --runner axe for axe-core rules.
npx --yes pa11y --standard WCAG2AA <url>

# or the axe CLI directly
npx --yes @axe-core/cli <url>

If the project uses Playwright (Ultraship bundles the Playwright MCP), prefer injecting axe-core into the live page for per-component results. Report contrast and focus findings the static pass could not catch.

Phase 5: Verify

Re-run the scanner and report before/after scores.a11y:

bash
node ${CLAUDE_PLUGIN_ROOT}/tools/a11y-scanner.mjs <project-directory>
node ${CLAUDE_PLUGIN_ROOT}/tools/audit-history.mjs save <project-dir> a11y <score>

Key Principles

  • Fix, don't just audit. Every deterministic finding gets a concrete fix applied.
  • Zero false positives. The scanner only flags source-visible failures; never "fix" something it didn't flag without confirming it's real.
  • Decorative vs meaningful. alt="" is correct for decorative images — don't add fake descriptions to them.
  • Static + rendered together. The scanner catches structure/labels/alt; the rendered pass (Phase 4) catches contrast and focus. A real a11y pass needs both.

Frequently asked questions

What does the A11y AI skill do?

Accessibility audit + auto-fix (WCAG 2.2 A/AA). Scans built/static HTML for screen-reader, keyboard, and structure failures, fixes the deterministic ones, and escalates to a rendered scan for contrast and focus. Use when the user wants to check or improve accessibility, fix WCAG issues, or pass an a11y review.

Why use A11y on TypingMind?

Because you install it once and use it with any model. A11y is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install A11y in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Houseofmvps/ultraship/tree/main/skills/a11y. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use A11y?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with A11y?

As many as you like. As long as a model supports skills, you can use A11y with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the A11y AI skill free?

Yes. It is published on GitHub by Houseofmvps under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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