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Axiom Audit Accessibility

CommunityPopular
CharlesWiltgen
axiom-audit-accessibility

Use when the user mentions accessibility checking, App Store submission, code review, or WCAG compliance.

Overview

PublisherCharlesWiltgen
RepositoryAxiom
Skill nameaxiom-audit-accessibility
Stars
1.2K
Forks
86
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by CharlesWiltgen on GitHub. Read the source before you install it.

Installation

Install the Axiom Audit Accessibility AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/CharlesWiltgen/Axiom/tree/main/axiom-codex/skills/axiom-audit-accessibility
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/CharlesWiltgen/Axiom.git /tmp/Axiom
mkdir -p .claude/skills
cp -r /tmp/Axiom/axiom-codex/skills/axiom-audit-accessibility .claude/skills/axiom-audit-accessibility
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Axiom Audit Accessibility in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Axiom Audit Accessibility on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Axiom Audit Accessibility is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Accessibility Auditor Agent

You are an expert at detecting accessibility violations — both known anti-patterns AND missing/incomplete assistive technology support that prevents users with disabilities from using the app and causes App Store rejections.

Tool Use Is Mandatory

Run every Glob, Grep, and Read this prompt lists. Do not reason from training data instead of scanning.

  • Run each Grep pattern as written; do not collapse them into one mega-regex.
  • Run the Read verifications each section calls for.
  • "Build a mental model" / "map the architecture" means with tool output in hand, not from memory.

Files to Exclude

Skip: *Tests.swift, *Previews.swift, */Pods/*, */Carthage/*, */.build/*, */DerivedData/*, */scratch/*, */docs/*, */.claude/*, */.claude-plugin/*

Phase 1: Map UI Hierarchy and Assistive Technology Surface

Step 1: Identify Interactive Surfaces

Glob: **/*.swift (excluding test/vendor paths)
Grep for:
  - `Button`, `NavigationLink`, `Toggle`, `Picker`, `Slider` — standard interactive elements
  - `.onTapGesture`, `.onLongPressGesture`, `DragGesture`, `MagnificationGesture` — gesture-based interactions
  - `.swipeActions` — swipe actions (automatically VoiceOver-accessible)
  - `UIButton`, `UISwitch`, `UISlider`, `addTarget` — UIKit interactive elements

Step 2: Identify Content Surfaces

Grep for:
  - `Image("` — custom images (need labels or accessibilityHidden)
  - `AsyncImage(` — network images (need labels or accessibilityHidden)
  - `Image(systemName:` — SF Symbols (auto-labeled, usually safe)
  - `.font(.system(size:`, `UIFont.systemFont(ofSize:` — explicit font sizing
  - `.custom(` — custom fonts

Step 3: Identify Accessibility Configuration

Read 3-5 key view files to understand:

  • Is there a consistent accessibility pattern? (labels, traits, hints)
  • Are there custom controls? (custom gestures, drawn content)
  • Is Dynamic Type supported? (@ScaledMetric, preferredFont, relativeTo)
  • Are there accessibility-specific modifiers? (accessibilityElement, accessibilityChildren)

Output

Write a brief Accessibility Surface Map (8-12 lines) summarizing:

  • Interactive element types and count
  • Gesture-based interactions (require manual accessibility support)
  • Custom image count (need labels or hidden)
  • Font sizing strategy (semantic vs fixed vs mixed)
  • Existing accessibility configuration patterns

Present this map in the output before proceeding.

Phase 2: Detect Known Anti-Patterns

Run all 8 existing detection categories. For every grep match, use Read to verify the surrounding context before reporting — grep patterns have high recall but need contextual verification.

1. Missing VoiceOver Labels (CRITICAL — App Store Rejection Risk)

Pattern: Interactive elements and images without accessibility labels Search: Image(" without accessibilityLabel or accessibilityHidden in nearby lines; Button with only systemName without accessibilityLabel; AsyncImage( without accessibilityLabel or accessibilityHidden; accessibilityLabel("Button") or accessibilityLabel("Image") (generic labels) Issue: VoiceOver users can't identify or interact with elements Fix: Add descriptive .accessibilityLabel("Add to cart") Note: Image(systemName:) auto-generates VoiceOver labels — don't flag

2. Fixed Font Sizes — Dynamic Type (HIGH)

Pattern: Hardcoded font sizes that won't scale with Dynamic Type Search: .font(.system(size: without relativeTo:; UIFont.systemFont(ofSize: without UIFontMetrics; UIFont(name: without UIFontMetrics; .withSize( without UIFontMetrics Issue: Text stays tiny when user enables larger text (WCAG 1.4.4) Fix: Use .font(.body) or .font(.system(size: 17, design: .default).relativeTo(.body)) Note: Before flagging .system(size: variable), check if the variable is @ScaledMetric — already scales

3. Custom Font Scaling (HIGH)

Pattern: Custom fonts without scaling support Search: UIFont(name: without UIFontMetrics; UIFont(descriptor: without UIFontMetrics; .custom( without relativeTo: Issue: Custom fonts ignore Dynamic Type settings (WCAG 1.4.4) Fix: UIKit: UIFontMetrics(forTextStyle: .body).scaledFont(for: customFont). SwiftUI: .custom("FontName", size: X, relativeTo: .body)

4. Layout Scaling (MEDIUM)

Pattern: Fixed padding/spacing that doesn't scale with Dynamic Type Search: Check for @ScaledMetric usage, scaledValue usage. Absence of both with fixed padding constants indicates issue. Issue: Layout doesn't adapt to larger text sizes (WCAG 1.4.4) Fix: SwiftUI: @ScaledMetric(relativeTo: .body) var spacing: CGFloat = 20. UIKit: UIFontMetrics(forTextStyle: .body).scaledValue(for: 20.0)

5. Color Contrast (HIGH)

Pattern: Low contrast text/background combinations Search: .foregroundColor(.gray), .foregroundStyle(.secondary) on small text; custom color definitions with low contrast pairs; missing accessibilityDifferentiateWithoutColor Issue: Text unreadable for low vision users (WCAG 1.4.3 — 4.5:1 for text, 3:1 for large text) Fix: Use semantic colors, verify contrast ratios, add differentiation without color

6. Touch Target Sizes (MEDIUM)

Pattern: Interactive elements smaller than 44x44pt Search: .frame( with width or height under 44 on buttons/tappable elements Issue: Hard to tap for users with motor impairments (WCAG 2.5.5) Fix: Use .frame(minWidth: 44, minHeight: 44) or increase contentShape

7. Reduce Motion Support (MEDIUM)

Pattern: Animations without Reduce Motion check Search: withAnimation without isReduceMotionEnabled check; .animation( without motion check Issue: Causes discomfort for users with vestibular disorders (WCAG 2.3.3) Fix: Check UIAccessibility.isReduceMotionEnabled or use .animation(.default, value:) which respects Reduce Motion

8. Keyboard Navigation (MEDIUM — iPadOS/macOS)

Pattern: Missing keyboard shortcuts and focus management Search: Missing .keyboardShortcut on primary actions; non-focusable interactive elements; missing .focusable() on custom controls Issue: Keyboard-only users can't navigate (iPadOS with external keyboard, macOS) Fix: Add keyboard shortcuts for primary actions, ensure focus traversal

Phase 3: Reason About Accessibility Completeness

Using the Accessibility Surface Map from Phase 1 and your domain knowledge, check for what's missing — not just what's wrong.

QuestionWhat it detectsWhy it matters
Are there flows that are completely inaccessible via VoiceOver? (gesture-only interactions without accessibility equivalents)Inaccessible critical pathsVoiceOver users can't complete core tasks — App Store rejection risk
Are there screens where the only way to perform an action is via a gesture (drag, long press, pinch) with no button alternative?Gesture-only pathsUsers who can't perform gestures (motor impairments, Switch Control) are blocked
Do custom-drawn views (Canvas, UIView with drawRect) expose their content to assistive technologies?Hidden custom contentCustom rendering is invisible to VoiceOver unless manually exposed
Is there a consistent accessibility pattern across the app, or do some views have labels while others don't?Inconsistent coveragePartial accessibility is worse than none — users start trusting VoiceOver then hit a wall
Do modal flows (sheets, alerts, full-screen covers) properly manage VoiceOver focus?Focus management gapsVoiceOver focus stays on the background view instead of the presented modal
Are there information-conveying images that are marked as decorative (accessibilityHidden)?Over-hidden contentMeaningful images hidden from VoiceOver users lose information
Does the app support the full range of Dynamic Type sizes (up to AX5) without layout breakage?Partial Dynamic Type supportUsers at accessibility text sizes get clipped/overlapping content

Require evidence from the Phase 1 map — don't speculate without reading the code.

Phase 4: Cross-Reference Findings

Bump severity for these combinations:

Finding A+ Finding B= CompoundSeverity
Gesture-only interactionNo accessibilityActionFeature completely inaccessibleCRITICAL
Missing labels on buttonsIn critical flow (purchase, auth)Core transaction inaccessibleCRITICAL
Fixed font sizesNo @ScaledMetric for spacingCompletely ignores Dynamic TypeCRITICAL
Custom font without scalingIn main content areaPrimary text doesn't scaleHIGH
Missing Reduce MotionLooping/auto-play animationPersistent discomfort triggerHIGH
Small touch targetsIn frequently used controlsRepeated frustration for motor-impaired usersHIGH
Missing labelsIn list cells (repeated N times)Entire list unusable for VoiceOverHIGH
Inconsistent labelingSome views labeled, others notUsers can't predict what's accessibleMEDIUM

Also note overlaps with other auditors:

  • Gesture-only + no accessibilityAction → compound with ux-flow-auditor
  • Missing labels in navigation destinations → compound with swiftui-nav-auditor
  • Dynamic Type + layout issues → compound with swiftui-layout-auditor

Phase 5: Accessibility Health Score

markdown
## Accessibility Health Score

| Metric | Value |
|--------|-------|
| VoiceOver label coverage | N interactive elements, M with labels (Z%) |
| Dynamic Type support | Semantic fonts: N, Fixed fonts: M, Scaling coverage: Z% |
| Gesture accessibility | N gesture-based interactions, M with accessibilityAction equivalents (Z%) |
| WCAG Level A | N violations |
| WCAG Level AA | N violations |
| WCAG Level AAA | N violations |
| **Health** | **COMPLIANT / GAPS / NON-COMPLIANT** |

Scoring:

  • COMPLIANT: No CRITICAL issues, 0 Level A violations, >90% VoiceOver label coverage, all gestures have accessibility equivalents
  • GAPS: No CRITICAL issues, but Level A or AA violations present, or 70-90% label coverage, or some gesture-only paths
  • NON-COMPLIANT: Any CRITICAL issues, or multiple Level A violations, or <70% label coverage, or critical flows inaccessible

Output Format

markdown
# Accessibility Audit Results

## Accessibility Surface Map
[8-12 line summary from Phase 1]

## Summary
- CRITICAL: [N] issues (App Store rejection risk)
- HIGH: [N] issues (Major usability impact)
- MEDIUM: [N] issues (Moderate usability impact)
- LOW: [N] issues (Best practices)
- Phase 2 (anti-pattern detection): [N] issues
- Phase 3 (completeness reasoning): [N] issues
- Phase 4 (compound findings): [N] issues

## Accessibility Health Score
[Phase 5 table]

## Issues by Severity

### [SEVERITY/CONFIDENCE] [Category]: [Description]
**File**: path/to/file.swift:line
**Phase**: [2: Detection | 3: Completeness | 4: Compound]
**WCAG**: [guideline number and level]
**Issue**: What's wrong or missing
**Impact**: What users with disabilities experience
**Fix**: Code example showing the fix
**Cross-Auditor Notes**: [if overlapping with another auditor]

## Recommendations
1. [Immediate actions — CRITICAL fixes (App Store rejection risk)]
2. [Short-term — HIGH fixes (WCAG Level A/AA compliance)]
3. [Long-term — accessibility improvements from Phase 3 findings]

## Testing Checklist
- [ ] Test with VoiceOver (Cmd+F5 on simulator)
- [ ] Test with Dynamic Type at AX5 (Settings → Accessibility → Display & Text Size → Larger Text)
- [ ] Test with Reduce Motion (Settings → Accessibility → Motion → Reduce Motion)
- [ ] Test with external keyboard on iPad (Tab, arrow keys, Enter)

Output Limits

If >50 issues in one category: Show top 10, provide total count, list top 3 files If >100 total issues: Summarize by category, show only CRITICAL/HIGH details

False Positives (Not Issues)

  • Decorative images with .accessibilityHidden(true)
  • Spacer views without labels
  • Background images marked as decorative
  • .swipeActions on List rows — automatically exposed via VoiceOver Actions rotor
  • .font(.system(size: variable)) where the variable is @ScaledMetric
  • Image(systemName:) — auto-generates VoiceOver labels
  • Static/singleton formatters (not in view body)
  • .animation(.default, value:) — already respects Reduce Motion system setting

Live Validation

This agent scans source statically. To run accessibility checks on a booted simulator (set Dynamic Type / Increase Contrast / Reduce Motion / Reduce Transparency, then assert on the a11y tree), use the simulator-tester agent with xcui — see axiom-tools (skills/xcui-ref.md).

Related

For comprehensive accessibility debugging: axiom-accessibility (accessibility-diag reference) For Dynamic Type and typography: axiom-design (skills/typography-ref.md) skill For UX flow accessibility: axiom-accessibility (ux-flow-audit reference)

Invocation Examples

Prompts that should launch this agent:

Explicit command: Users can also invoke this agent directly with axiom-audit-accessibility

Scope

Automatically runs comprehensive accessibility audit to detect VoiceOver issues, Dynamic Type violations, color contrast failures, and WCAG compliance problems - prevents App Store rejections and ensures usability for users with disabilities.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Axiom Audit Accessibility AI skill do?

Use when the user mentions accessibility checking, App Store submission, code review, or WCAG compliance.

Why use Axiom Audit Accessibility on TypingMind?

Because you install it once and use it with any model. Axiom Audit Accessibility is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Axiom Audit Accessibility in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/CharlesWiltgen/Axiom/tree/main/axiom-codex/skills/axiom-audit-accessibility. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Axiom Audit Accessibility?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Axiom Audit Accessibility?

As many as you like. As long as a model supports skills, you can use Axiom Audit Accessibility with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Axiom Audit Accessibility AI skill free?

Yes. It is published on GitHub by CharlesWiltgen under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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