Accessibility Audit

A repeatable audit workflow that takes an app from "we think it's accessible" to evidence: automated audits in CI, an Inspector pass, manual assistive-tech passes, and an Accessibility Nutrition Label evaluation you can defend. Distilled from Apple's WWDC23 "Perform accessibility audits" (10035), WWDC19 "Accessibility Inspector" (257), WWDC25 "Evaluate your app for Accessibility Nutrition Labels" (224), and the 2026 Tech Talk "Prepare your app for Accessibility Nutrition Labels" (111433).

Why it matters: Accessibility Nutrition Labels on the App Store make your support (or its absence) visible before download.

When This Skill Activates

• User asks for an accessibility audit, review, or compliance check
• User is preparing Accessibility Nutrition Label declarations for App Store Connect
• User asks about performAccessibilityAudit, Accessibility Inspector, or automated a11y testing
• User mentions EU Accessibility Act / accessibility compliance
• Pre-release checks (pairs with release-review)

The Audit Workflow

1. Define common tasks first (WWDC25 224)

List the primary tasks people download the app for, plus the fundamentals: first-launch experience, login, purchase, settings. Every subsequent pass evaluates these tasks, on every device family the app supports.

2. Automated pass — XCUITest audits in CI

try app.performAccessibilityAudit() audits the current view exactly as the Inspector does; the test fails automatically on findings. Full API, audit-type table, issue filtering, and CI patterns: automated-audits.md. Baseline rules:

• Audits cover only what's on screen — write one audit per distinct screen/state.
• continueAfterFailure = true before the audit to surface all issues in one run.
• Filter accepted issues via the issue handler — never by skipping whole audit types.

3. Inspector pass (WWDC19 257)

Xcode → Open Developer Tool → Accessibility Inspector, target the app:

1. Run Audit → each finding highlights the view and offers a Help suggestion.
2. Fix, re-run to zero.
3. Auto Navigate through the screen with the speaker button — hear exactly what VoiceOver would say, in order; wrong reading order shows up here.
4. Point Inspection for spot checks; Color Contrast Calculator (Window menu) for failing pairs.

Classic findings and fixes: filename-as-label (give a real accessibilityLabel; move technical IDs to accessibilityIdentifier), text drawn via CATextLayer invisible to VoiceOver (isAccessibilityElement = true + label), contrast below threshold (Inspector flags pairs; fix with darker/lighter variants until it passes).

4. Manual assistive-tech passes (per common task)

Pass	How	Pass criterion
VoiceOver	Swipe right through every element; double-tap to activate; complete each common task eyes-free	Every element speaks label + trait + value; task completable with gestures only
Voice Control	Complete tasks by voice only	Every interactive element has a speakable label (accessibilityInputLabels for synonyms)
Dynamic Type	Test at 200% and at the largest accessibility size (310%)	Text wraps (never truncates), fields grow, layout adapts
Sufficient Contrast	Light + dark appearance, with Increase Contrast on	Legible everywhere
Dark Interface	Dark mode + Smart Invert	Photos/video NOT inverted (accessibilityIgnoresInvertColors)
Reduced Motion	Reduce Motion on	Zoom/slide transitions, autoplay, parallax replaced (modified, not just removed)
Keyboard (Mac / iPad FKA)	Complete tasks keyboard-only	Focus reaches everything; no hover-only affordances

5. Nutrition Label evaluation and declaration

Map the evidence from passes 2–4 onto the nine App Store features and declare only what holds for all common tasks on all supported device families. Per-feature criteria, disqualifier examples, and the declaration flow: nutrition-labels.md. The model behavior (Apple's own demo): find bugs at 235%/310% text size → fix first, claim after.

Output Format

Report findings as:

• 🔴 Critical — blocks an assistive-tech user from completing a common task (unlabeled control on the purchase path, VoiceOver trap, text that doesn't scale)
• 🟠 High — feature claim at risk (truncation at accessibility sizes, color-only state, missing captions)
• 🟡 Medium — friction (bad reading order, unclear labels, missing rotors/actions)
• 🟢 Low — polish (verbosity, missing synonyms, hint quality)
• ✅ Strengths — passes worth keeping (cite the pass that proved them)

For each finding: the screen/task, the failing feature category, the fix (API-level), and which audit pass detects the regression.

Cross-References

• generators/accessibility-generator — implementation patterns (labels, Dynamic Type, custom actions, rotors) to fix what the audit finds
• macos/ui-review-tahoe/accessibility.md — Mac-specific VoiceOver/keyboard depth
• ios/assistive-access — the separate Assistive Access experience (cognitive disabilities)
• design/typography — Dynamic Type design rules
• release-review — this audit slots into the pre-release gate

References

• automated-audits.md (this skill) — performAccessibilityAudit API, audit types, CI patterns, Inspector workflow
• nutrition-labels.md (this skill) — the nine features, per-feature criteria, evaluation + declaration process
• WWDC23 — Perform accessibility audits for your app
• WWDC25 — Evaluate your app for Accessibility Nutrition Labels
• Tech Talk — Prepare your app for Accessibility Nutrition Labels
• Accessibility Nutrition Labels evaluation criteria