Accessibility Scan logo

Accessibility Scan

Organization
AccessLint
accessibility-scan

One page, automated tier — run the web accessibility (a11y) rule engine against a live page and locate every violation it can detect mechanically. Pass a URL, a config target name (e.g. `accesslint:accessibility-scan dev`), or nothing to use the default target from `accesslint.config.json`. Ensures a debuggable Chrome, runs the @accesslint/core engine over CDP, and returns a worklist of live-DOM WCAG 2.2 violations, each grounded to its DOM selector and source `file:line`. Locates; doesn't edit. Use it for 'is this page accessible', 'check a11y on this URL', 'find contrast and alt-text issues', or to verify a UI change. For hands-on keyboard and screen-reader checks use `accessibility-inspect`; for a whole site or product use `accessibility-audit`; to diff against uncommitted changes or a branch use `accessibility-diff`.

Overview

PublisherAccessLint
Repositoryskills
Skill nameaccessibility-scan
Stars
99
Forks
14
Bundled files
Instructions only
Links
Skill sourceRepository
  • 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 AccessLint on GitHub. Read the source before you install it.

Installation

Install the Accessibility Scan 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/AccessLint/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/plugins/accesslint/skills/accessibility-scan .claude/skills/accessibility-scan
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Accessibility Scan 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 Accessibility Scan 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 Accessibility Scan 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.

Audit a live page and report each violation and where it is. Locate; don't fix.

Shared grounding and honesty conventions: ../shared/methodology.md.

$ARGUMENTS is a URL, a config target name (dev, storybook, …), or empty to audit the default target from accesslint.config.json. If it's empty and no config exists, ask for a URL or suggest npx @accesslint/cli init.

1. Audit

bash
PORT=$(npx -y @accesslint/chrome@latest ensure | node -e 'process.stdin.on("data",d=>process.stdout.write(""+JSON.parse(d).port))')
npx -y @accesslint/cli@latest scan <target> --port "$PORT" --format json

<target> is the URL or config target name from $ARGUMENTS. Omit it (don't pass "") to audit the config's default target. Add flags as needed: --selector, --wait-for "<selector>", --include-aaa, --disable <rules>, or pin them per-target in accesslint.config.json.

2. Report

Counts by impact, then one entry per violation:

  • where: selector verbatim, plus file:line (symbol) if source is present. Don't fabricate. If no violation has source, note "source mapping unavailable; located by selector only".
  • evidence: contrast ratio, missing attribute, empty name.
  • fix: mechanical change, or NEEDS HUMAN.

Don't edit. For fixes, apply the mechanical ones and re-run to verify; for bulk work hand off to accesslint:accessibility-fix.

3. Tear down

bash
npx -y @accesslint/chrome@latest stop --all  # skip if ensure reported "managed":false

Notes

  • ensure determines the port; don't hardcode 9222.
  • CLI exit 2 means a bad URL or target, or the page never loaded; check the dev server. An unknown target name makes the CLI list the available targets from accesslint.config.json.

Frequently asked questions

What does the Accessibility Scan AI skill do?

One page, automated tier — run the web accessibility (a11y) rule engine against a live page and locate every violation it can detect mechanically. Pass a URL, a config target name (e.g. `accesslint:accessibility-scan dev`), or nothing to use the default target from `accesslint.config.json`. Ensures a debuggable Chrome, runs the @accesslint/core engine over CDP, and returns a worklist of live-DOM WCAG 2.2 violations, each grounded to its DOM selector and source `file:line`. Locates; doesn't edit. Use it for 'is this page accessible', 'check a11y on this URL', 'find contrast and alt-text issu...

Why use Accessibility Scan on TypingMind?

Because you install it once and use it with any model. Accessibility Scan 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 Accessibility Scan in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AccessLint/skills/tree/main/plugins/accesslint/skills/accessibility-scan. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Accessibility Scan?

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 Accessibility Scan?

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

Is the Accessibility Scan AI skill free?

It is published on GitHub by AccessLint. Check the repository for licensing terms. 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.

Related AI Skills

View all
obra logo

Systematic Debugging

obra
CommunityPopular

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

25.8K
288.1K
10 files
View
obra logo

Test Driven Development

obra
CommunityPopular

Use when implementing any feature or bugfix, before writing implementation code

25.8K
288.1K
1 files
View
obra logo

Using Git Worktrees

obra
CommunityPopular

Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback

25.8K
288.1K
Instructions
View
obra logo

Using Superpowers

obra
CommunityPopular

Use when starting any conversation - establishes how to find and use skills, requiring skill invocation before ANY response including clarifying questions

25.8K
288.1K
5 files
View

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇