accessibility-audit

accessibility-audit is a skill for Codex from ashermahonin/agentic-skills. It costs 65 tokens per session (707 once invoked), scanned A, original, MIT.

A review process that checks a user-facing website, app, desktop program, game, voice interface, or conversational interface for accessibility barriers. Accessibility means making software usable by people with different vision, hearing, movement, reading, and input needs.

In plain words
What is it for?
Use it before release or during design review for web, mobile, desktop, game, voice, and conversational products. It includes automated and manual checks where the target platform supports them.
Why use it?
It identifies problems that automated checks alone may miss, such as keyboard navigation, screen-reader behavior, focus order, contrast, and reduced-motion support. It records evidence and unresolved issues against the relevant platform requirements.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it before release or during design review for web, mobile, desktop, game, voice, and conversational products. It includes automated and manual checks where the target platform supports them.

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

Made for: 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-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/ashermahonin/agentic-skills/accessibility-audit.svg)](https://agentmods.dev/skills/ashermahonin/agentic-skills/accessibility-audit)
Your own site
<a href="https://agentmods.dev/skills/ashermahonin/agentic-skills/accessibility-audit"><img src="https://agentmods.dev/badge/skills/ashermahonin/agentic-skills/accessibility-audit.svg" alt="Measured on agentmods" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 707 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 $0.00065 $0.00707
Opus 5 $0.00032 $0.00353
Sonnet 5 $0.00013 $0.00141
Haiku 4.5 $0.00006 $0.00071

Measured 8d ago against content hash e4e47b2d448b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, 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 8d 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.

agentic/skills/accessibility-audit/SKILL.md · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Accessibility Audit

Purpose

Evaluate the product against the accessibility requirements of its target platforms. Record evidence per criterion and cover keyboard, screen reader, voice, low-vision, colour-perception, motor, and cognitive use where they apply.

Product context

  1. Read references/a11y-checklist.md.
  2. Pull the platform matrix from platform-detector and UX specs from ux-design.
  3. Choose the applicable standard per platform (WCAG 2.2 AA for web; platform-native a11y APIs for iOS/Android/desktop; game-readability patterns for games).
  4. Use Context7 MCP for current WCAG wording, current Apple/Google/Microsoft a11y guidance, and current accessibility-testing tool docs.

Design and validation

  1. Run automated audits per platform: web (axe-core, Lighthouse, Pa11y), iOS (Accessibility Inspector), Android (Accessibility Scanner), desktop (platform a11y tools).
  2. Run manual checks: keyboard-only traversal, screen-reader transcript (VoiceOver, TalkBack, NVDA, JAWS, Narrator), focus order, contrast measurement, reduced-motion behavior, color-blind palette simulation.
  3. Per criterion, mark Pass / Concern / Fail / Out-of-scope. Record evidence path, repro steps, suggested fix, owner.
  4. Cross-check ux-design screen states: empty/loading/error states must also be accessible.
  5. Cross-check i18n-localization: RTL languages, font glyph coverage, label expansion ratios.
  6. Produce a remediation plan ordered by impact × ease.
  7. Issue a release-gate verdict: Go / Conditional / Hold.

Constraints

  • Use Context7 MCP for current WCAG, platform-native a11y, and tool documentation.
  • Keep a decision trace: standard chosen per platform, tools used, evidence per criterion, accepted-risk register with named approver and expiry.
  • Refuse to mark a criterion Pass from an automated tool alone when manual verification is required (e.g., screen-reader behavior).
  • Escalate any "Hold" verdict before release.

Specification and evidence

  • Per-criterion status table (Pass / Concern / Fail / Out-of-scope) with evidence
  • Screen-reader transcripts per platform
  • Contrast measurements per surface
  • Keyboard traversal map
  • Findings register: severity, repro, fix, owner, verification test
  • Remediation plan ordered by impact × ease
  • Release-gate verdict

Read the full file on GitHub · 61 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 8d ago First seen · 61 lines · 65 tokens per session scan A e4e47b2d448b

Subscribe to this mod's changes

accessibility-audit is a skill published in the GitHub repository ashermahonin/agentic-skills (10 stars, last pushed 15d ago), licensed MIT. It adds 65 tokens to every session and 707 once invoked, about $0.0003 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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