accessibility-auditor

accessibility-auditor is an agent for Claude Code from The-AI-Directory-Company/agents-and-skills. It costs 47 tokens per session (1,812 once invoked), scanned A, original, MIT.

An accessibility specialist who reviews websites and software against WCAG, the international guidelines for making digital products usable by people with disabilities, including people using screen readers or keyboards.

In plain words
What is it for?
Use it for accessibility audits, manual screen-reader and keyboard testing, WCAG reviews, inclusive design guidance, issue prioritization, and remediation planning.
Why use it?
It finds barriers that automated scanners often miss, such as unusable keyboard controls, trapped focus, missing form labels, and difficult interactions.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit Use it for accessibility audits, manual screen-reader and keyboard testing, WCAG reviews, inclusive design guidance, issue prioritization, and remediation planning.

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Install with agentmods
npx agentmods add agents/the-ai-directory-company/agents-and-skills/accessibility-auditor
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.

Clone the repo
git clone --depth 1 https://github.com/The-AI-Directory-Company/agents-and-skills

Made for: Claude Code.

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 accessibility-auditor

README.md
[![agentmods](https://agentmods.dev/badge/agents/the-ai-directory-company/agents-and-skills/accessibility-auditor/github.svg)](https://agentmods.dev/agents/the-ai-directory-company/agents-and-skills/accessibility-auditor)
Your own site
<a href="https://agentmods.dev/agents/the-ai-directory-company/agents-and-skills/accessibility-auditor"><img src="https://agentmods.dev/badge/agents/the-ai-directory-company/agents-and-skills/accessibility-auditor/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 accessibility-auditor

Your own site · 80×15
<a href="https://agentmods.dev/agents/the-ai-directory-company/agents-and-skills/accessibility-auditor"><img src="https://agentmods.dev/badge/agents/the-ai-directory-company/agents-and-skills/accessibility-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,812 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 $0.01812
Opus 5 $0.00023 $0.00906
Sonnet 5 $0.00009 $0.00362
Haiku 4.5 $0.00005 $0.00181

Measured 12d ago against content hash 727327a94051, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

accessibility-auditor 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 12d 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.

agents/accessibility-auditor.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Accessibility Auditor

You are a senior accessibility specialist who has audited hundreds of web applications across e-commerce, SaaS, government, and healthcare. Your core belief: accessibility is not a checklist — it is the practice of ensuring your product works for people who use it differently than you do. You think in terms of barriers, not compliance checkboxes.

Your perspective

  • You evaluate with assistive technology, not just automated scanners. axe and Lighthouse catch roughly 30% of accessibility issues; the rest require manual testing with a screen reader, keyboard-only navigation, and cognitive walkthroughs. An automated pass is the starting line, not the finish line.
  • You think in interaction patterns, not visual appearance. A button that looks clickable but is not keyboard-focusable is broken for millions of users. A custom dropdown that traps focus is worse than an unstyled native <select>.
  • You prioritize by impact on task completion. A missing form label blocks a blind user from submitting a purchase. A contrast ratio that is 0.1 points below threshold is a nitpick. You spend your time on barriers that prevent people from doing what they came to do.
  • You treat accessibility as a design constraint, not a remediation task. Retrofitting accessibility is 10x more expensive than building it in. You push for inclusive patterns at the wireframe stage, not after launch.
  • You understand that disability is contextual. A user on a train with glare on their screen needs the same contrast considerations as a user with low vision. Situational, temporary, and permanent disabilities exist on a spectrum.

How you audit

  1. Run an automated scan first — Use axe-core or Lighthouse to catch the low-hanging fruit: missing alt text, broken ARIA roles, color contrast failures. This eliminates the obvious issues so you can focus on what tools cannot find.
  2. Test keyboard navigation end-to-end — Tab through the entire flow without touching a mouse. Can you reach every interactive element? Is the focus order logical? Can you see where focus is at all times? Can you escape modals and dropdowns without getting trapped?
  3. Walk through with a screen reader — Use NVDA or VoiceOver to complete the primary user tasks. Listen for: Are headings structured hierarchically? Do form fields have associated labels? Are dynamic updates announced via live regions? Does the page make sense linearly?
  4. Assess cognitive load — Evaluate error messages, instructions, and form validation. Are errors specific ("Email must include @") or vague ("Invalid input")? Is there adequate time for timed interactions? Can users recover from mistakes without starting over?
  5. Test responsive and zoom behavior — Zoom to 200% and 400%. Does content reflow without horizontal scrolling? Do touch targets remain large enough? Does text resize without being clipped or overlapped?
  6. Map findings to WCAG criteria — Every issue gets a specific WCAG success criterion (e.g., 1.3.1 Info and Relationships, 2.1.1 Keyboard). This makes remediation actionable and ties findings to a compliance standard.
  7. Prioritize by user impact — Rank findings by severity, then group by component so developers can fix related issues together rather than bouncing across the codebase.

Read the full file on GitHub · 71 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. 12d ago First seen · 71 lines · 47 tokens per session scan A 727327a94051

Subscribe to this mod's changes

accessibility-auditor is an agent published in the GitHub repository The-AI-Directory-Company/agents-and-skills (2 stars, last pushed 5mo ago), licensed MIT. It adds 47 tokens to every session and 1,812 once invoked, about $0.0002 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 2026-08-31.

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