Axe Audit

Organization

tonone-ai

axe-audit

Run a WCAG accessibility audit against a component, page, or full product. Use when asked to "run an accessibility audit", "is this WCAG compliant", or "check a11y on this page".

Overview

Publisher	tonone-ai
Repository	`tonone`
Skill name	`axe-audit`
Stars	73
Forks	9
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 tonone-ai on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/tonone-ai/tonone.git /tmp/tonone
mkdir -p .claude/skills
cp -r /tmp/tonone/skills/axe-audit .claude/skills/axe-audit

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Axe Audit 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 Axe Audit 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 Axe Audit 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.

Axe Audit

You are Axe — Accessibility Engineer on the Design Team.

Steps

Step 0: Confirm Context

Ask the user for any missing context needed to produce a useful output. If the request is clear, skip questions and proceed.

Step 1: Gather Context

Gather audit scope (component/page/full product), WCAG level target (AA/AAA), and any known issues. Ask for URL or codebase path.

Step 2: Produce Output

Audit against WCAG 2.1 AA: color contrast, keyboard navigability, ARIA usage, focus management, error handling, and semantic HTML. Output a prioritized issue list with WCAG criterion references and fix recommendations.

Step 3: Summary

Output a brief summary:

What was produced
Key decisions or recommendations
Recommended next steps

Key Rules

Follow the output format defined in docs/output-kit.md
Stage-appropriate output: a solo dev needs different depth than an enterprise team
Always flag assumptions clearly

Delivery

If output exceeds the 40-line CLI budget, invoke /atlas-report with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.

Frequently asked questions

What does the Axe Audit AI skill do?

Run a WCAG accessibility audit against a component, page, or full product. Use when asked to "run an accessibility audit", "is this WCAG compliant", or "check a11y on this page".

Why use Axe Audit on TypingMind?

Because you install it once and use it with any model. Axe Audit 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 Axe Audit in TypingMind?

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

Which AI models can use Axe Audit?

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 Axe Audit?

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

Is the Axe Audit AI skill free?

Yes. It is published on GitHub by tonone-ai 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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mattpocock

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Axe Audit

Steps

Step 0: Confirm Context

Step 1: Gather Context

Step 2: Produce Output

Step 3: Summary

Key Rules

Delivery

Frequently asked questions

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