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axe-audit

axe-audit is a skill for Claude Code from tonone-ai/tonone. It costs 47 tokens per session (387 once invoked), scanned A, original, MIT.

An accessibility audit tool for checking a website or interface against WCAG, the Web Content Accessibility Guidelines. It reviews issues such as color contrast, keyboard use, labels for assistive technology, focus behavior, errors, and semantic HTML.

In plain words
What is it for?
Use it to audit a component, page, or full product and produce a prioritized list of problems and suggested fixes.
Why use it?
It finds barriers that can prevent people with disabilities from using a page or product, and ties findings to specific accessibility rules.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool; mentions Claude Code.

Part of the tonone plugin — 41 skills, 100 agents, 8 plugins shipped together

not rated 77repo 23d ago A scan 47 tokens original MIT

Good fit Use it to audit a component, page, or full product and produce a prioritized list of problems and suggested fixes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tonone-ai/tonone/axe-audit
View source ↗ tonone-ai/tonone second.tonone.ai
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add tonone-ai/tonone --skill axe-audit
Clone the repo
git clone --depth 1 https://github.com/tonone-ai/tonone

Made for: Claude Code.

Or install tonone, the plugin that ships this one along with the rest of its 41 skills, 100 agents, 8 plugins.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for axe-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/tonone-ai/tonone/axe-audit/github.svg)](https://agentmods.dev/skills/tonone-ai/tonone/axe-audit)
Your own site
<a href="https://agentmods.dev/skills/tonone-ai/tonone/axe-audit"><img src="https://agentmods.dev/badge/skills/tonone-ai/tonone/axe-audit/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for axe-audit

Your own site · 80×15
<a href="https://agentmods.dev/skills/tonone-ai/tonone/axe-audit"><img src="https://agentmods.dev/badge/skills/tonone-ai/tonone/axe-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 387 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00047 $0.00387
Opus 5.5 $0.00019 $0.00155
Sonnet 5.5 $0.00009 $0.00077
Haiku 4.5 $0.00005 $0.00039

Measured 1mo ago against content hash 343b6d4dca4e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

axe-audit scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/axe-audit/SKILL.md · 47 lines

What it actually says

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.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 47 lines · 47 tokens per session scan A 343b6d4dca4e

Subscribe to this mod's changes

axe-audit is a skill published in the GitHub repository tonone-ai/tonone (77 stars, last pushed 23d ago), licensed MIT. It adds 47 tokens to every session and 387 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-20.

Design and UXFrontendaccessibilityaudit
Related

axe-audit compared with skills from other repositories

axe-audit next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
axe-audittonone-ai/tononeSkill7723d agoMITA47Claude Code
accessibility-auditoyi77/1ai-skillsSkill17yesterdayMITA29Claude Code
ui-a11yLiHongwei-cn/lihongwei-cnSkill529d agoMITA34Claude Code, Codex
color-contrast-auditorcuriositech/windags-skillsSkill186d agononeA117Claude Code
design-accessibility-auditorcuriositech/windags-skillsSkill186d agononeA53Claude Code, Codex
accessibility-compliance-auditJPeetz/agent-skillsSkill1510d agononeA134Claude Code, Codex
accessibilitydiegosouzapw/awesome-omni-skillsSkill1704mo agoMITC119Claude Code, Codex