accessibility-audit

accessibility-audit is a skill for Claude Code from oyi77/1ai-skills. It costs 37 tokens per session (1,123 once invoked), scanned A, original, MIT.

A framework for checking websites against WCAG 2.1 accessibility requirements. It covers semantic HTML, ARIA labels, keyboard use, focus behavior, color contrast, and screen-reader experience; WCAG is a standard for making websites usable by people with disabilities.

In plain words
What is it for?
Use it to audit headings and HTML structure, keyboard navigation, focus management, contrast ratios, ARIA attributes, and screen-reader behavior.
Why use it?
It helps find barriers that may prevent people from navigating or understanding a public website. It can also support accessibility checks before launch or when compliance requirements apply.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the 1ai-skills plugin — 209 skills, 4 commands shipped together

Good fit Use it to audit headings and HTML structure, keyboard navigation, focus management, contrast ratios, ARIA attributes, and screen-reader behavior.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/oyi77/1ai-skills/accessibility-audit
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 oyi77/1ai-skills --skill accessibility-audit
Clone the repo
git clone --depth 1 https://github.com/oyi77/1ai-skills

Made for: Claude Code.

Or install 1ai-skills, the plugin that ships this one along with the rest of its 209 skills, 4 commands.

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-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/oyi77/1ai-skills/accessibility-audit/github.svg)](https://agentmods.dev/skills/oyi77/1ai-skills/accessibility-audit)
Your own site
<a href="https://agentmods.dev/skills/oyi77/1ai-skills/accessibility-audit"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/accessibility-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 accessibility-audit

Your own site · 80×15
<a href="https://agentmods.dev/skills/oyi77/1ai-skills/accessibility-audit"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/accessibility-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,123 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00037 $0.01123
Opus 5 $0.00018 $0.00562
Sonnet 5 $0.00007 $0.00225
Haiku 4.5 $0.00004 $0.00112

Measured 11d ago against content hash 480850362e78, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

accessibility-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 11d 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.

content/accessibility-audit/SKILL.md · 164 lines

How it starts

The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Overview

Accessibility (a11y) audit framework for WCAG 2.1 compliance. Covers semantic HTML, ARIA attributes, keyboard navigation, color contrast, focus management, and screen reader testing.

Capabilities

  • Audit pages against WCAG 2.1 AA criteria
  • Check semantic HTML structure and heading hierarchy
  • Verify keyboard navigation and focus management
  • Test color contrast ratios (4.5:1 normal, 3:1 large text)
  • Validate ARIA attributes and screen reader experience

When to Use

Trigger phrases:

  • "accessibility audit"

  • "WCAG compliance audit — semantic HTML, ARIA, keyboard navigation, color contrast"

  • Before launching any public-facing UI

  • Legal compliance requirements (ADA, EAA)

  • User complaints about accessibility

  • Adding keyboard navigation support

When NOT to Use

  • Task is about content strategy, not creation (use strategy skills)
  • Task is about content distribution (use distribution skills)
  • You need to analyze content performance (use analytics skills)
  • Task is about content moderation (use moderation tools)
  • You don't have content guidelines
  • Task requires domain expertise (consult experts)

Pseudo Code

The accessibility-audit workflow follows a standard pipeline pattern.

Core flow:

# accessibility-audit primary flow
input = prepare(raw_data)
result = process(input, config={accessibility, aria, audit, color, compliance})
validate(result)
deliver(result)

Error handling:

on error:
  log(error_details)
  retry_with_backoff(max=3)
  if still_failing: alert_and_escalate()

Core Workflow

# accessibility-audit primary flow
input = prepare(raw_data)
result = process(input, config={accessibility, aria, audit, color, compliance})
validate(result)
deliver(result)

Error Handling

on error:
  log(error_details)
  retry_with_backoff(max=3)
  if still_failing: alert_and_escalate()

Automated Audit

def audit_accessibility(url):
    results = {
        "headings": check_heading_hierarchy(url),  # h1 > h2 > h3, no skips
        "images": check_alt_text(url),  # All images have alt
        "contrast": check_color_contrast(url),  # 4.5:1 minimum
        "keyboard": check_tab_order(url),  # All interactive elements reachable
        "aria": check_aria_labels(url),  # Buttons, links have accessible names
        "forms": check_form_labels(url),  # All inputs have labels
    }
    return generate_report(results, level="AA")

Read the full file on GitHub · 164 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. 11d ago First seen · 164 lines · 37 tokens per session scan A 480850362e78

Subscribe to this mod's changes

accessibility-audit is a skill published in the GitHub repository oyi77/1ai-skills (12 stars, last pushed yesterday), licensed MIT. It adds 37 tokens to every session and 1,123 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 2026-08-30.

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