a11y-debugging

Instructions for checking website accessibility, meaning whether people with disabilities can use a site. They cover semantic HTML, ARIA labels, keyboard navigation, focus, tap targets, and colour contrast using Chrome DevTools.

In plain words
What is it for?
Use it to audit and debug accessibility issues in web pages, including Lighthouse checks and the accessibility tree.
Why use it?
It helps identify barriers that ordinary visual or functional testing may miss.

Skill for Claude CodeCodex

Part of the chrome-devtools-mcp plugin — 7 skills, 1 MCP server shipped together

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.

agentmods
npx agentmods add skills/chromedevtools/chrome-devtools-mcp/a11y-debugging
Any agent
npx skills add ChromeDevTools/chrome-devtools-mcp --skill a11y-debugging
Clone the repo
git clone --depth 1 https://github.com/ChromeDevTools/chrome-devtools-mcp

Made for: Claude Code, Codex.

Or install chrome-devtools-mcp, the plugin that ships this one along with the rest of its 7 skills, 1 MCP server.

Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,344 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00050 $0.01344
Opus 5 $0.00025 $0.00672
Sonnet 5 $0.00010 $0.00269
Haiku 4.5 $0.00005 $0.00134

Measured 3d ago against content hash 159587fc580e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

a11y-debugging 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 3d 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.

Origin

Copies of this mod

8 near-identical copies found in the catalogue:

skills/a11y-debugging/SKILL.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Core Concepts

Page Targeting: Page-scoped tools (take_snapshot, list_console_messages, evaluate_script, press_key, take_screenshot, lighthouse_audit, etc.) require a pageId parameter. Retrieve available page IDs using list_pages or from new_page.

Accessibility Tree vs DOM: Visually hiding an element (e.g., CSS opacity: 0) behaves differently for screen readers than display: none or aria-hidden="true". The take_snapshot tool returns the accessibility tree of the page, which represents what assistive technologies "see", making it the most reliable source of truth for semantic structure.

Reading web.dev documentation: If you need to research specific accessibility guidelines (like https://web.dev/articles/accessible-tap-targets), you can append .md.txt to the URL (e.g., https://web.dev/articles/accessible-tap-targets.md.txt) to fetch the clean, raw markdown version. This is much easier to read!

Workflow Patterns

1. Automated Audit (Lighthouse)

Start by running a Lighthouse accessibility audit to get a comprehensive baseline. This tool provides a high-level score and lists specific failing elements with remediation advice.

  1. Run the audit:
    • Set mode to "navigation" to refresh the page and capture load issues.
    • Set outputDirPath (e.g., /tmp/lh-report) to save the full JSON report.
  2. Analyze the Summary:
    • Check scores (0-1 scale). A score < 1 indicates violations.
    • Review audits.failed count.
  3. Review the Report (CRITICAL):
    • Parsing: Do not read the entire file line-by-line. Use a CLI tool like jq or a Node.js one-liner to filter for failures:
      # Extract failing audits with their details
      node -e "const r=require('./report.json'); Object.values(r.audits).filter(a=>a.score!==null && a.score<1).forEach(a=>console.log(JSON.stringify({id:a.id, title:a.title, items:a.details?.items})))"
      
    • This efficiently extracts the selector and snippet of failing elements without loading the full report into context.

Read the full file on GitHub · 92 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 3d ago First seen · 92 lines · 50 tokens per session scan A 159587fc580e

Subscribe to this mod's changes

a11y-debugging is a skill published in the GitHub repository ChromeDevTools/chrome-devtools-mcp (50,411 stars, last pushed yesterday), licensed Apache-2.0. It adds 50 tokens to every session and 1,344 once invoked, about $0.0003 per session on Opus 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 2026-08-30.

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