Accessibility Fix logo

Accessibility Fix

Organization
AccessLint
accessibility-fix

Remediation only — repair web accessibility (a11y) violations against WCAG 2.2 with a baseline, edit, and verify loop. Takes a target (URL, files, directory) or a findings worklist from `accessibility-scan`/`accessibility-inspect`/`accessibility-audit`, applies mechanical fixes as given, leaves TODOs for visual or contextual judgment, and verifies by re-running the baseline check. It only fixes. To find issues use `accessibility-scan` (one page, automated), `accessibility-inspect` (one page, manual), or `accessibility-audit` (whole site, WCAG-EM); to check for regressions use `accessibility-diff`. Use it for 'fix the a11y issues in X', 'make this accessible', 'add missing alt text and labels', 'apply these accessibility fixes', 'remediate these violations'.

Overview

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

Installation

Install the Accessibility Fix 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-fix .claude/skills/accessibility-fix
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Accessibility Fix 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 Fix 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 Fix 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.

This skill remediates accessibility violations: baseline, edit, verify. It only fixes. To find what's wrong, use accesslint:accessibility-scan (one page, automated), accesslint:accessibility-inspect (one page, manual), or accesslint:accessibility-audit (whole site, WCAG-EM); to check for regressions, use accesslint:accessibility-diff. The engine runs here are internal to the loop — a baseline before and a check after — not a report.

Shared conventions (grounding, never invent content): ../shared/methodology.md.

For large remediations, run via Task for context isolation; the steps are the same.

Input

  • A findings worklist (from accessibility-scan, accessibility-inspect, or accessibility-audit, or pasted): apply it directly; the baseline is already done.
  • A target (URL, config target name, files, or a directory): audit it first for the baseline, then fix.

Given neither, ask what to fix. Don't sweep a whole codebase unprompted.

Picking a flow (for baseline and verify)

  1. audit_live for any URL. It ensures a debuggable Chrome (auto-launches a headless one if none is reachable) and audits the live DOM. Use selector to scope and wait_for for async content. The live DOM catches what source can't.
  2. audit_html for raw HTML strings, files (Read first), or JSX rendered to a string.

For an authenticated session, have the user start a headed debuggable Chrome (npx @accesslint/chrome ensure --headed), sign in, then call audit_live({ url, port }) to attach to it.

Steps

  1. Baseline. Audit with format: "compact" and record the violation set (rule ID and selector for each). Skip this if you were handed a worklist.
  2. Apply. For each violation:
    • If a Source: line is present, open that file at that line. If several are listed (separated by ), the first is the JSX literal and the rest are enclosing components; use Symbol to disambiguate.
    • If not, grep stable hooks (data-testid, id, aria-label), then visible text, then tree position.
    • Use the Fixability: and Fix: fields: apply mechanical fixes as given; leave a TODO with the rule ID for contextual or visual. Don't invent content (alt text, labels, link text).
    • Group edits to the same file into one operation.
    • Confirm scope before editing files outside the obvious target, or before more than about 10 mechanical fixes.
  3. Verify. Re-run the same audit and compare to the baseline: every targeted violation gone, no new ones. For a precise new/fixed/pre-existing comparison on a URL, use accesslint:accessibility-diff rather than checking by eye.

Source: lines come from React DevTools fibers and appear only in live-DOM audits against React dev builds. Static audits won't have them; fall back to selectors. When unsure about a rule, use explain_rule({ id }).

When to stop

  • A violation with no Fix: directive: leave a TODO, don't guess.
  • Verification fails (a new violation appeared, or a targeted one remains): report it and stop. Don't iterate silently.

Output

Per cycle: the flow used, violations by impact, what was applied (file and rule), what was deferred (TODOs and why), and the before and after counts.

Frequently asked questions

What does the Accessibility Fix AI skill do?

Remediation only — repair web accessibility (a11y) violations against WCAG 2.2 with a baseline, edit, and verify loop. Takes a target (URL, files, directory) or a findings worklist from `accessibility-scan`/`accessibility-inspect`/`accessibility-audit`, applies mechanical fixes as given, leaves TODOs for visual or contextual judgment, and verifies by re-running the baseline check. It only fixes. To find issues use `accessibility-scan` (one page, automated), `accessibility-inspect` (one page, manual), or `accessibility-audit` (whole site, WCAG-EM); to check for regressions use `accessibility...

Why use Accessibility Fix on TypingMind?

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

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

Which AI models can use Accessibility Fix?

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 Fix?

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

Is the Accessibility Fix 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.

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