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accessibility-engineering

accessibility-engineering is a skill for Claude Code, Codex from vignesh2027/AI-AGENT-SKILLS. It costs 27 tokens per session (705 once invoked), scanned A, original, MIT.

A guide for building user interfaces that people can use with keyboards, screen readers, and other assistive technology. It follows the Web Content Accessibility Guidelines, known as WCAG 2.2.

In plain words
What is it for?
Use it when creating or reviewing UI components, especially to check semantic HTML, headings, labels, landmarks, keyboard access, visible focus, and safe focus handling in dialogs.
Why use it?
It helps prevent interfaces from excluding people with disabilities and catches accessibility problems while a component is being built, rather than after release.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 2repo 2mo ago A scan 27 tokens original MIT

Good fit Use it when creating or reviewing UI components, especially to check semantic HTML, headings, labels, landmarks, keyboard access, visible focus, and safe focus handling in dialogs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vignesh2027/ai-agent-skills/accessibility-engineering
View source ↗ vignesh2027/AI-AGENT-SKILLS
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 vignesh2027/AI-AGENT-SKILLS --skill accessibility-engineering
Clone the repo
git clone --depth 1 https://github.com/vignesh2027/AI-AGENT-SKILLS

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 accessibility-engineering

README.md
[![agentmods](https://agentmods.dev/badge/skills/vignesh2027/ai-agent-skills/accessibility-engineering/github.svg)](https://agentmods.dev/skills/vignesh2027/ai-agent-skills/accessibility-engineering)
Your own site
<a href="https://agentmods.dev/skills/vignesh2027/ai-agent-skills/accessibility-engineering"><img src="https://agentmods.dev/badge/skills/vignesh2027/ai-agent-skills/accessibility-engineering/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-engineering

Your own site · 80×15
<a href="https://agentmods.dev/skills/vignesh2027/ai-agent-skills/accessibility-engineering"><img src="https://agentmods.dev/badge/skills/vignesh2027/ai-agent-skills/accessibility-engineering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 705 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 $0.00027 $0.00705
Opus 5.5 $0.00011 $0.00282
Sonnet 5.5 $0.00005 $0.00141
Haiku 4.5 $0.00003 $0.00071

Measured 2mo ago against content hash eb5a1f990a1c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

accessibility-engineering 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 2mo 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/accessibility-engineering/SKILL.md · 83 lines

How it starts

The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Overview

Accessibility is not a checklist — it is a commitment to not excluding users. 1 in 4 adults has some form of disability. Inaccessible software is defective software. This skill bakes accessibility in during development, not as a retrofit.

When to Use

  • Before implementing any UI component
  • Before any UI is marked complete
  • As part of the /review workflow for frontend changes

Process

Step 1: Semantic HTML first

Use the right HTML elements before reaching for ARIA:

  • Buttons for actions (<button>), links for navigation (<a href>)
  • Headings for document structure (<h1>–<h6> in correct order)
  • Lists for lists (<ul>, <ol>)
  • Form labels associated with inputs (<label for>)
  • Landmark regions (<nav>, <main>, <header>, <footer>, <aside>)

ARIA only when native semantics are insufficient.

Step 2: Keyboard navigation

Every interactive element must be:

  • Reachable by Tab
  • Activatable by Enter/Space
  • Part of a logical tab order
  • Visually focused (:focus-visible style)
  • Not trapped in a dead end (modals must trap focus; must release on close)

Test: complete the key user journeys using only the keyboard.

Step 3: Screen reader testing

Test with at least one screen reader:

  • VoiceOver (macOS/iOS) + Safari
  • NVDA or JAWS (Windows) + Chrome
  • TalkBack (Android)

Verify: can a screen reader user complete the same tasks as a sighted user?

Step 4: Color and contrast

  • Text contrast ratio: ≥ 4.5:1 for normal text, ≥ 3:1 for large text (WCAG AA)
  • Do not convey information by color alone (use icons, patterns, text)
  • Test in grayscale mode

Step 5: Dynamic content

  • Announce dynamic updates with aria-live regions
  • Focus management after navigation (move focus to new content)
  • Loading states must be communicated to screen readers
  • Errors must be associated with their form fields

Step 6: Images and media

  • All meaningful images have descriptive alt text
  • Decorative images have alt=""
  • Videos have captions and transcripts
  • Audio content has transcripts

Read the full file on GitHub · 83 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. 2mo ago First seen · 83 lines · 27 tokens per session scan A eb5a1f990a1c

Subscribe to this mod's changes

accessibility-engineering is a skill published in the GitHub repository vignesh2027/AI-AGENT-SKILLS (2 stars, last pushed 2mo ago), licensed MIT. It adds 27 tokens to every session and 705 once invoked, about $0.0001 per session on Opus 5.5. 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.

Claude CodeDesign and UXFrontendagent-skillsai-agentscoding-agentcursor-aideveloper-tools
Related

accessibility-engineering compared with skills from other repositories

accessibility-engineering next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
accessibility-engineeringvignesh2027/AI-AGENT-SKILLSSkill22mo agoMITA27Claude Code, Codex
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frontend-design-landing-pagecloudflare/vibesdkSkill5.5k16d agoMITA106Claude Code, Codex
frontend-designHmbown/CodeWhaleSkill41k6d agoMITA21Claude Code, Codex
visual-acceptancehuiliyi37/Tianshu-harnessSkill1.3kyesterdayApache-2.0A89Claude Code, Codex
write-zot-themespatriceckhart/zotSkill360yesterdayMITA23Claude Code, Codex