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Accessibility Testing

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aj-geddes
accessibility-testing

Test web applications for WCAG compliance and ensure usability for users with disabilities. Use for accessibility test, a11y, axe, ARIA, keyboard navigation, screen reader compatibility, and WCAG validation.

Overview

Publisheraj-geddes
Repositoryuseful-ai-prompts
Skill nameaccessibility-testing
Stars
340
Forks
55
Bundled files
8
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.

  • 8 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by aj-geddes on GitHub. Read the source before you install it.

Installation

Install the Accessibility Testing 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/aj-geddes/useful-ai-prompts.git /tmp/useful-ai-prompts
mkdir -p .claude/skills
cp -r /tmp/useful-ai-prompts/skills/accessibility-testing .claude/skills/accessibility-testing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Accessibility Testing 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 Testing 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 Testing 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 Testing

Table of Contents

Overview

Accessibility testing ensures web applications are usable by people with disabilities, including those using screen readers, keyboard navigation, or other assistive technologies. It validates compliance with WCAG (Web Content Accessibility Guidelines) and identifies barriers to accessibility.

When to Use

  • Validating WCAG 2.1/2.2 compliance
  • Testing keyboard navigation
  • Verifying screen reader compatibility
  • Testing color contrast ratios
  • Validating ARIA attributes
  • Testing form accessibility
  • Ensuring focus management
  • Testing with assistive technologies

Quick Start

Minimal working example:

typescript
// tests/accessibility/homepage.a11y.test.ts
import { test, expect } from "@playwright/test";
import AxeBuilder from "@axe-core/playwright";

test.describe("Homepage Accessibility", () => {
  test("should not have any automatically detectable WCAG A or AA violations", async ({
    page,
  }) => {
    await page.goto("/");

    const accessibilityScanResults = await new AxeBuilder({ page })
      .withTags(["wcag2a", "wcag2aa", "wcag21a", "wcag21aa"])
      .analyze();

    expect(accessibilityScanResults.violations).toEqual([]);
  });

  test("navigation should be accessible", async ({ page }) => {
    await page.goto("/");

    const results = await new AxeBuilder({ page }).include("nav").analyze();

    expect(results.violations).toEqual([]);
  });

// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

GuideContents
axe-core with Playwrightaxe-core with Playwright
Keyboard Navigation TestingKeyboard Navigation Testing
ARIA TestingARIA Testing
Jest with jest-axeJest with jest-axe
Cypress Accessibility TestingCypress Accessibility Testing
Python with Selenium and axePython with Selenium and axe

Best Practices

✅ DO

  • Test with real assistive technologies
  • Include keyboard-only users
  • Test color contrast
  • Use semantic HTML
  • Provide text alternatives
  • Test with screen readers
  • Run automated tests in CI
  • Follow WCAG 2.1 AA standards

❌ DON'T

  • Rely only on automated tests (they catch ~30-40% of issues)
  • Use color alone to convey information
  • Skip keyboard navigation testing
  • Forget focus management in dynamic content
  • Use div/span for interactive elements
  • Hide focusable content with display:none
  • Ignore ARIA best practices
  • Skip manual testing

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Accessibility Testing AI skill do?

Test web applications for WCAG compliance and ensure usability for users with disabilities. Use for accessibility test, a11y, axe, ARIA, keyboard navigation, screen reader compatibility, and WCAG validation.

Why use Accessibility Testing on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aj-geddes/useful-ai-prompts/tree/main/skills/accessibility-testing. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Accessibility Testing?

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 Testing?

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

Is the Accessibility Testing AI skill free?

Yes. It is published on GitHub by aj-geddes 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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