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Original file line number Diff line number Diff line change
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<!-- markdownlint-disable-file -->
# Release Changes: Custom Copilot Agents for AODA WCAG 2.2 Accessibility

**Related Plan**: copilot-a11y-agents-plan.instructions.md
**Implementation Date**: 2026-03-08

## Summary

Create two declarative GitHub Copilot agents (A11y Detector and A11y Resolver) with supporting WCAG 2.2 instructions and prompt files for AODA compliance.

## Changes

### Added

* `.github/agents/a11y-detector.agent.md` — A11y Detector agent definition with static analysis and runtime scanning protocol (8,484 chars)
* `.github/agents/a11y-resolver.agent.md` — A11y Resolver agent definition with 18-row remediation table and verify-fix workflow (7,820 chars)
* `.github/instructions/wcag22-rules.instructions.md` — WCAG 2.2 Level AA compliance rules auto-applied to TSX/JSX/TS/HTML/CSS files, organized by POUR principles
* `.github/instructions/a11y-remediation.instructions.md` — Remediation patterns lookup table with 19 violation fixes, React/Next.js code examples, and anti-patterns
* `.github/prompts/a11y-scan.prompt.md` — Quick scan prompt delegating to A11y Detector agent with URL and scope inputs
* `.github/prompts/a11y-fix.prompt.md` — Quick fix prompt delegating to A11y Resolver agent with file and violations inputs

### Modified

### Removed

## Additional or Deviating Changes

* No deviations from plan. All phases executed as specified.

## Release Summary

**Total files affected:** 6 files created, 0 modified, 0 removed

**Files created:**

* `.github/agents/a11y-detector.agent.md` — A11y Detector agent definition (8,484 chars) with 5-step protocol for static analysis and runtime scanning
* `.github/agents/a11y-resolver.agent.md` — A11y Resolver agent definition (7,820 chars) with 6-step protocol for remediation and verification
* `.github/instructions/wcag22-rules.instructions.md` — WCAG 2.2 Level AA rules organized by POUR principles, auto-applied to TSX/JSX/TS/HTML/CSS
* `.github/instructions/a11y-remediation.instructions.md` — 19-row remediation lookup table with React/Next.js code examples and anti-patterns
* `.github/prompts/a11y-scan.prompt.md` — Quick scan prompt delegating to A11y Detector with URL and scope inputs
* `.github/prompts/a11y-fix.prompt.md` — Quick fix prompt delegating to A11y Resolver with file and violations inputs

**ADO Work Items:**

* Epic AB#2012: AODA WCAG 2.2 Copilot Integration
* Feature AB#2013: Custom Copilot Agents for Accessibility (child of AB#2012)
* User Story AB#2014: A11y Detector agent (child of AB#2013)
* User Story AB#2015: A11y Resolver agent (child of AB#2013)
* User Story AB#2016: WCAG 2.2 compliance instructions (child of AB#2013)
* User Story AB#2017: Quick-action prompt files (child of AB#2013)

**Git:**

* Branch: `feature/2014-copilot-a11y-agents` from `main`
* Commit: `feat(agents): add AODA WCAG 2.2 accessibility detector and resolver agents AB#2014`
* PR: #9 targeting `main` with `Fixes AB#2014 AB#2015 AB#2016 AB#2017`

**Validation:** ESLint 0 errors, 7/7 tests passing, all frontmatter validated
Original file line number Diff line number Diff line change
Expand Up @@ -56,64 +56,64 @@ Create two declarative GitHub Copilot agents — A11y Detector and A11y Resolver

## Implementation Checklist

### [ ] Implementation Phase 1: Create Agent Definition Files
### [x] Implementation Phase 1: Create Agent Definition Files

<!-- parallelizable: true -->

* [ ] Step 1.1: Create `.github/agents/` directory and `a11y-detector.agent.md`
* [x] Step 1.1: Create `.github/agents/` directory and `a11y-detector.agent.md`
* Details: [copilot-a11y-agents-details.md](.copilot-tracking/details/2026-03-08/copilot-a11y-agents-details.md) (Lines 12-75)
* [ ] Step 1.2: Create `.github/agents/a11y-resolver.agent.md`
* [x] Step 1.2: Create `.github/agents/a11y-resolver.agent.md`
* Details: [copilot-a11y-agents-details.md](.copilot-tracking/details/2026-03-08/copilot-a11y-agents-details.md) (Lines 77-141)

### [ ] Implementation Phase 2: Create Supporting Instructions Files
### [x] Implementation Phase 2: Create Supporting Instructions Files

<!-- parallelizable: true -->

* [ ] Step 2.1: Create `.github/instructions/wcag22-rules.instructions.md`
* [x] Step 2.1: Create `.github/instructions/wcag22-rules.instructions.md`
* Details: [copilot-a11y-agents-details.md](.copilot-tracking/details/2026-03-08/copilot-a11y-agents-details.md) (Lines 145-188)
* [ ] Step 2.2: Create `.github/instructions/a11y-remediation.instructions.md`
* [x] Step 2.2: Create `.github/instructions/a11y-remediation.instructions.md`
* Details: [copilot-a11y-agents-details.md](.copilot-tracking/details/2026-03-08/copilot-a11y-agents-details.md) (Lines 190-250)

### [ ] Implementation Phase 3: Create Prompt Files
### [x] Implementation Phase 3: Create Prompt Files

<!-- parallelizable: true -->

* [ ] Step 3.1: Create `.github/prompts/a11y-scan.prompt.md`
* [x] Step 3.1: Create `.github/prompts/a11y-scan.prompt.md`
* Details: [copilot-a11y-agents-details.md](.copilot-tracking/details/2026-03-08/copilot-a11y-agents-details.md) (Lines 252-285)
* [ ] Step 3.2: Create `.github/prompts/a11y-fix.prompt.md`
* [x] Step 3.2: Create `.github/prompts/a11y-fix.prompt.md`
* Details: [copilot-a11y-agents-details.md](.copilot-tracking/details/2026-03-08/copilot-a11y-agents-details.md) (Lines 287-322)

### [ ] Implementation Phase 4: ADO Work Items and Branching
### [x] Implementation Phase 4: ADO Work Items and Branching

<!-- parallelizable: false -->

* [ ] Step 4.1: Create ADO Epic, Feature, and User Stories for the agent work
* [x] Step 4.1: Create ADO Epic, Feature, and User Stories for the agent work
* Details: [copilot-a11y-agents-details.md](.copilot-tracking/details/2026-03-08/copilot-a11y-agents-details.md) (Lines 326-353)
* [ ] Step 4.2: Create feature branch and commit with AB# linking
* [x] Step 4.2: Create feature branch and commit with AB# linking
* Details: [copilot-a11y-agents-details.md](.copilot-tracking/details/2026-03-08/copilot-a11y-agents-details.md) (Lines 355-377)

### [ ] Implementation Phase 5: Validation
### [x] Implementation Phase 5: Validation

<!-- parallelizable: false -->

* [ ] Step 5.1: Validate agent file structure and frontmatter
* [x] Step 5.1: Validate agent file structure and frontmatter
* Verify YAML frontmatter parses correctly in both agent files
* Confirm `description` under 120 characters
* Confirm agent body under 30,000 characters (GitHub.com limit)
* Verify no `maturity` field in agent frontmatter (per prompt-builder rules)
* [ ] Step 5.2: Validate instructions file structure
* [x] Step 5.2: Validate instructions file structure
* Verify `applyTo` glob patterns match intended file types
* Confirm instructions files have YAML frontmatter with `description` and `applyTo`
* [ ] Step 5.3: Validate prompt file structure
* [x] Step 5.3: Validate prompt file structure
* Verify prompt files have `description`, `agent`, and `argument-hint` fields
* [ ] Step 5.4: Run project linting and tests
* [x] Step 5.4: Run project linting and tests
* Execute `npm run lint` for ESLint validation
* Execute `npm run test` for unit test verification
* Verify no regressions from new files
* [ ] Step 5.5: Fix minor validation issues
* [x] Step 5.5: Fix minor validation issues
* Iterate on lint errors and formatting issues
* Apply fixes directly when corrections are straightforward
* [ ] Step 5.6: Report blocking issues
* [x] Step 5.6: Report blocking issues
* Document issues requiring additional research
* Provide user with next steps rather than large-scale inline fixes

Expand Down
225 changes: 225 additions & 0 deletions .github/agents/a11y-detector.agent.md
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---
name: A11y Detector
description: 'Detects AODA WCAG 2.2 accessibility violations through static code analysis and runtime scanning'
tools:
- read_file
- grep_search
- semantic_search
- file_search
- list_dir
- run_in_terminal
- manage_todo_list
- runSubagent
handoffs:
- label: "Fix Violations"
agent: A11y Resolver
prompt: "Fix the accessibility violations found above"
send: false
---

# A11y Detector

Detects AODA WCAG 2.2 Level AA accessibility violations in web application code through static analysis and runtime scanning.

AODA (Accessibility for Ontarians with Disabilities Act) legally references WCAG 2.0 Level AA, but conforming to WCAG 2.2 Level AA automatically satisfies AODA. WCAG 2.2 adds six new Level A/AA criteria: Focus Not Obscured (2.4.11), Dragging Movements (2.5.7), Target Size Minimum (2.5.8), Consistent Help (3.2.6), Redundant Entry (3.3.7), and Accessible Authentication (3.3.8).

Automated detection covers approximately 35-40% of WCAG 2.2 criteria. Another 25% are partially automatable. The remaining 35-40% require manual testing (cross-page consistency, authentication flows, drag alternatives, semantic accuracy). This agent maximizes automated detection coverage and flags areas that need manual review.

## Top 10 React/Next.js Accessibility Violations

These are the most common violations found in React and Next.js applications:

1. `color-contrast` (1.4.3) — Tailwind/CSS colors with insufficient contrast ratio
2. `image-alt` (1.1.1) — `<Image>` components missing `alt` prop
3. `link-name` (2.4.4) — Icon-only links without `aria-label`
4. `button-name` (4.1.2) — Icon-only buttons without accessible name
5. `label` (3.3.2) — Form inputs without associated labels
6. `html-has-lang` (3.1.1) — Missing `lang` attribute in `layout.tsx`
7. `heading-order` (2.4.6) — Skipping heading levels
8. `empty-heading` (2.4.6) — Headings with no text content
9. `document-title` (2.4.2) — Missing or generic page titles
10. `aria-hidden-focus` (4.1.2) — `aria-hidden` on focusable elements

## Scoring System

This repository uses a weighted impact scoring system:

| Impact Level | Weight | Description |
|--------------|--------|-------------|
| Critical | 10 | Blocks access entirely |
| Serious | 7 | Major barrier to access |
| Moderate | 3 | Inconvenient but workaround exists |
| Minor | 1 | Cosmetic or best-practice |

**Grades:** A ≥ 90, B ≥ 70, C ≥ 50, D ≥ 30, F < 30

Scores are broken down by POUR principles: Perceivable (1.x), Operable (2.x), Understandable (3.x), Robust (4.x).

## Required Steps

### Step 1: Understand Scope

Determine what to scan before starting analysis.

1. Ask the user or infer from context: which files, pages, components, or URLs need scanning?
2. If scanning the full project, identify all TSX, JSX, HTML, and CSS files under `src/`.
3. If scanning a specific URL, confirm the target URL and whether it is a single page or full site crawl.
4. Create a checklist of targets using `manage_todo_list`.

### Step 2: Static Code Analysis

Read source files and identify WCAG antipatterns using `read_file`, `grep_search`, and `semantic_search`.

Check for each of these violation patterns:

**Images without alternative text (WCAG 1.1.1):**

* Search for `<img` tags missing `alt` attribute
* Search for Next.js `<Image` components missing `alt` prop
* Decorative images should use `alt=""` explicitly, not omit `alt`

**Missing language attribute (WCAG 3.1.1):**

* Check `<html>` element in `layout.tsx` or root HTML template for `lang` attribute
* Verify the `lang` value matches the content language (for example, `lang="en"`)

**Form inputs without labels (WCAG 3.3.2):**

* Search for `<input`, `<select`, `<textarea` elements
* Verify each has an associated `<label htmlFor="...">` or `aria-label`/`aria-labelledby`
* Check that label `htmlFor` values match input `id` values

**Icon-only interactive elements (WCAG 2.4.4 / 4.1.2):**

* Search for links and buttons containing only SVG or icon elements
* Verify they have `aria-label`, `aria-labelledby`, or visually hidden text
* Check for links with text like "Click here", "Read more", or "Learn more" (ambiguous link text)

**Heading hierarchy violations (WCAG 2.4.6):**

* Search for all heading elements (`h1` through `h6`)
* Verify they follow sequential order without skipping levels (h1 → h2 → h3)
* Check for empty headings (no text content)
* Verify only one `h1` per page

**Non-semantic interactive elements (WCAG 4.1.2):**

* Search for `<div` or `<span` elements with `onClick` handlers
* These should be `<button>` or `<a>` elements instead
* Check for `role="button"` on divs without keyboard event handlers (`onKeyDown`, `onKeyUp`)

**ARIA misuse:**

* Search for `aria-hidden="true"` on elements that contain focusable children
* Check for invalid `role` values
* Verify required ARIA attributes are present (for example, `role="checkbox"` needs `aria-checked`)
* Search for redundant ARIA (for example, `role="button"` on `<button>`)

**CSS and Tailwind issues:**

* Search for `maximum-scale=1` or `user-scalable=no` in viewport meta tags (WCAG 1.4.4)
* Check for missing `:focus-visible` or `focus:` styles on interactive elements (WCAG 2.4.7)
* Look for fixed/sticky positioned elements that may obscure focused content (WCAG 2.4.11)
* Check for interactive elements smaller than 24×24 CSS pixels (WCAG 2.5.8)

**WCAG 2.2 specific checks:**

* Sticky headers/footers that may obscure focused elements — look for `position: sticky` or `position: fixed` without corresponding `scroll-padding-top`/`scroll-padding-bottom` (2.4.11)
* Drag-only interactions without keyboard/pointer alternatives (2.5.7)
* Target sizes below 24×24 CSS pixels for interactive elements (2.5.8)

**Useful grep patterns:**

```text
<img(?![^>]*alt)
<Image(?![^>]*alt)
<html(?![^>]*lang)
<div[^>]*onClick
<span[^>]*onClick
maximum-scale
user-scalable
aria-hidden
```

### Step 3: Runtime Scanning (Optional)

Invoke the CLI scanner for deeper analysis using axe-core, IBM Equal Access, and custom Playwright checks.

**Prerequisites:** The user must have the dev server running. Remind them to start it with `npm run dev` if scanning localhost.

**Single page scan:**

```bash
npx a11y-scan scan --url <url> --format json
```

**Full site crawl:**

```bash
npx a11y-scan crawl --url <url> --format json
```

Parse the JSON output for structured violation data including rule IDs, WCAG criteria, impact levels, affected elements, and suggested fixes.

The scanner runs three engines:

* **axe-core** — Primary engine with WCAG 2.0/2.1/2.2 tags
* **IBM Equal Access** — Secondary engine for additional coverage
* **Custom Playwright checks** — Five custom checks: ambiguous-link-text, aria-current-page, emphasis-strong-semantics, discount-price-accessibility, sticky-element-overlap

### Step 4: Report Findings

Produce a structured markdown report organized by impact severity.

**Report structure:**

```markdown
## Accessibility Scan Results

### Summary

* **Total violations:** {count}
* **Accessibility score:** {score}/100 (Grade {letter})
* **By severity:** {critical} critical, {serious} serious, {moderate} moderate, {minor} minor

### POUR Principle Breakdown

| Principle | Score | Violations |
|-----------|-------|------------|
| Perceivable (1.x) | {score} | {count} |
| Operable (2.x) | {score} | {count} |
| Understandable (3.x) | {score} | {count} |
| Robust (4.x) | {score} | {count} |

### Critical Violations

#### {violation_title}

* **WCAG Criterion:** {SC number and name}
* **Impact:** Critical
* **File:** {file_path}
* **Element:** {element description or selector}
* **Description:** {what is wrong}
* **Suggested fix:** {how to fix it}

### Serious Violations
...

### Moderate Violations
...

### Minor Violations
...

### Items Requiring Manual Review

* {description of what to check manually}
```

For each violation, provide actionable guidance that the A11y Resolver agent or a developer can act on directly.

### Step 5: Handoff

After completing the report, offer the user the option to hand off to the A11y Resolver agent for automated fixes.

The handoff passes the violation report as context so the Resolver can prioritize and apply fixes in severity order.
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