audit-accessibility

audit-accessibility is a skill for Claude Code, Codex from kensaurus/cursor-kenji. It costs 72 tokens per session (3,820 once invoked), scanned A, original, MIT.

An automated accessibility checker for websites that tests pages against WCAG 2.2, including keyboard use, labels, color contrast, and page headings.

In plain words
What is it for?
Use it to crawl website pages, inspect accessibility findings, and classify issues by WCAG level and priority.
Why use it?
It helps find barriers that automated checks alone can miss, such as broken keyboard navigation or confusing page structure.

Skill for Claude CodeCodex

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/kensaurus/cursor-kenji/audit-accessibility
Any agent
npx skills add kensaurus/cursor-kenji --skill audit-accessibility
Clone the repo
git clone --depth 1 https://github.com/kensaurus/cursor-kenji

Made for: Claude Code, Codex.

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 audit-accessibility

README.md
[![agentmods](https://agentmods.dev/badge/skills/kensaurus/cursor-kenji/audit-accessibility.svg)](https://agentmods.dev/skills/kensaurus/cursor-kenji/audit-accessibility)
Your own site
<a href="https://agentmods.dev/skills/kensaurus/cursor-kenji/audit-accessibility"><img src="https://agentmods.dev/badge/skills/kensaurus/cursor-kenji/audit-accessibility.svg" alt="Measured on agentmods" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,820 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 $0.00072 $0.03820
Opus 5 $0.00036 $0.01910
Sonnet 5 $0.00014 $0.00764
Haiku 4.5 $0.00007 $0.00382

Measured yesterday against content hash d7222692a914, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

audit-accessibility 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 yesterday.

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/audit-accessibility/SKILL.md · 435 lines

How it starts

The opening of the file, as written. The whole thing — 435 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Accessibility Audit

Degree of freedom: MIXED — Phases 0–1, 5 [HIGH freedom]; Phases 2–3 playwright/axe/Tab sequences [LOW freedom — run exactly]. Read protocol-browser-anti-stall before any browser step.

How to reason

  1. Observe — quote axe rule+selector, heading list, or Tab snapshot
  2. Interpret — can a keyboard or AT user complete the task?
  3. Classify — WCAG fail / axe-false-positive / manual-only / correct-as-is
  4. Severity — Level A = P0; Level AA = P1; best-practice = P2

Worked example

Observe: axe label on /signup; <input name="email"> has no id/aria-label. Interpret: AT users cannot tell what to type (1.3.1 / 4.1.2). Classify: WCAG fail (not an axe false positive). Severity: P0 — Level A, blocks signup. Finding: /signup | 1.3.1+4.1.2 | P0 | unlabeled email | <label for>.

Self-critique before reporting [LOW freedom — do not skip]

  1. WCAG SC + numbers — not "contrast is bad"; quote ratio or selector
  2. Keyboard, not axe-only — 2.1.1 fails even if axe is clean
  3. Every reachable page — obscure routes still count
  4. Severity justified — Level A = P0
  5. Axe is ~30–40% — heading/focus/link-text/reading-order always manual

Phase 0: Auto-Detect Pages and Components

0a. Discover Route Structure

Glob("**/app/**/page.{tsx,jsx,ts,js}")
Glob("**/pages/**/*.{tsx,jsx,ts,js}")
Glob("**/src/routes/**/*.{tsx,jsx,svelte,vue}")

0b. Find the App URL

Grep(pattern: "NEXT_PUBLIC_APP_URL|NEXT_PUBLIC_BASE_URL|VITE_APP_URL|APP_URL|localhost", glob: ".env*")

If no production URL, default to http://localhost:3000 (or detected dev server port).

0c. Detect CSS Framework and Component Library

Grep(pattern: "tailwindcss|@chakra-ui|@mui|@radix-ui|shadcn|bootstrap|bulma", glob: "package.json")

0d. Detect Existing a11y Tooling

Grep(pattern: "axe-core|@axe-core|eslint-plugin-jsx-a11y|pa11y|lighthouse|@testing-library", glob: "package.json")
Grep(pattern: "aria-|role=|tabIndex|sr-only|visually-hidden", glob: "*.{tsx,jsx,vue,svelte}", output_mode: "count")

Read the full file on GitHub · 435 lines

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. yesterday First seen · 435 lines · 72 tokens per session scan A d7222692a914

Subscribe to this mod's changes

audit-accessibility is a skill published in the GitHub repository kensaurus/cursor-kenji (9 stars, last pushed 7d ago), licensed MIT. It adds 72 tokens to every session and 3,820 once invoked, about $0.0004 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 2026-09-03.

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