A set of checks for making websites and applications usable by people with disabilities. It covers standards such as WCAG, keyboard use, screen readers, colour contrast and page structure.

Auditing pages, forms, navigation, modals and interactive components with tools such as Axe, Pa11y and Lighthouse.

It finds barriers that automated tests or visual reviews may miss, helping more people use the product.

a11y — Skill for Claude Code by arbazkhan971

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 arbazkhan971/godmode --skill a11y

Clone the repo

git clone --depth 1 https://github.com/arbazkhan971/godmode

Made for: Claude Code.

Or install godmode, the plugin that ships this one along with the rest of its 132 skills, 1 command, 7 agents, 3 MCP servers.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/arbazkhan971/godmode/a11y/github.svg)](https://agentmods.dev/skills/arbazkhan971/godmode/a11y)

Your own site

<a href="https://agentmods.dev/skills/arbazkhan971/godmode/a11y"><img src="https://agentmods.dev/badge/skills/arbazkhan971/godmode/a11y/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/arbazkhan971/godmode/a11y"><img src="https://agentmods.dev/badge/skills/arbazkhan971/godmode/a11y.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,280 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 warn 7 Sept 2026

SkillSpector: 4 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

high Prompt Injection · line 143
Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.

Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
medium MCP Rug Pull · line 46
npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.

Fix: Pin the version: npx @scope/[email protected]
medium MCP Rug Pull · line 96
npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.

Fix: Pin the version: npx @scope/[email protected]
medium MCP Rug Pull · line 163
npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.

Fix: Pin the version: npx @scope/[email protected]

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.

Model	Per session	Once invoked
Fable 5.1	$0.00038	$0.02280
Opus 5	$0.00019	$0.01140
Sonnet 5	$0.00008	$0.00456
Haiku 4.5	$0.00004	$0.00228

Measured 9d ago against content hash 70800e5e1029, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

a11y 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 9d 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/a11y/SKILL.md · 303 lines

How it starts

The opening of the file, as written. The whole thing — 303 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Activate When

User invokes /godmode:a11y
User says "check accessibility," "is this accessible?", "WCAG compliance"
Pre-ship quality gate during /godmode:ship workflow
After UI changes, component library updates, or design system modifications
When building forms, navigation, modals, or interactive widgets
Code review flags missing ARIA attributes or semantic HTML issues

Workflow

Step 1: Define Audit Scope

Determine which pages, components, or flows to audit:

A11Y AUDIT SCOPE:
Target: <page/component/entire app>
WCAG level: <AA (default) | AAA>

Step 2: Automated Tool Scanning

Run automated accessibility scanners in sequence:

Axe-core Analysis

# Install if needed
npm install --save-dev @axe-core/cli

Pa11y Scanning

# Install if needed
npm install --save-dev pa11y pa11y-ci

Lighthouse Accessibility Audit

# Run Lighthouse accessibility category
npx lighthouse <url> --only-categories=accessibility --output=json --output-path=./a11y-report.json

AUTOMATED SCAN RESULTS:
Axe findings: <N> violations, <N> incomplete, <N> passes
Pa11y findings: <N> errors, <N> warnings, <N> notices

Step 3: WCAG 2.1 Compliance Checklist

Systematic check against WCAG 2.1 principles:

Perceivable (WCAG 1.x)

CHECK — Can all users perceive the content?

1.1 Text Alternatives:

Operable (WCAG 2.x)

CHECK — Can all users operate the interface?

2.1 Keyboard Accessible:

Understandable (WCAG 3.x)

CHECK — Can all users understand the content?

3.1 Readable:

Robust (WCAG 4.x)

CHECK — Does the content work with assistive technologies?

4.1 Compatible:

Step 4: Color Contrast Deep Dive

Analyze every foreground/background color combination:

COLOR CONTRAST ANALYSIS:
| Element | FG | BG | Ratio | Result |

Tools for color contrast:

# Using color-contrast-checker
npx color-contrast-checker --fg "#999" --bg "#fff"

Read the full file on GitHub · 303 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.

9d ago First seen · 303 lines · 38 tokens per session scan A 70800e5e1029

Subscribe to this mod's changes

a11y is a skill published in the GitHub repository arbazkhan971/godmode (26 stars, last pushed 11d ago), licensed MIT. It adds 38 tokens to every session and 2,280 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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