cdt-a11y-debugging
Skill0 starsChanged 41 days agoMITView on GitHub
Uses Chrome DevTools MCP for accessibility (a11y) debugging and auditing based on web.dev guidelines. Use when testing semantic HTML, ARIA labels, focus states, keyboard navigation, tap targets, and color contrast.
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We split this skill into the rules it gives an agent
19 rules. About 0 are common, 5 are distinctive, and 14 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈5
Distinctive · estimate
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14
Very specific
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- Common
- Distinctive
- Very specific
- Very specific: line 14
Reading web.dev documentation: If you need to research specific accessibility guidelines (like …
- Distinctive: line 20
Start by running a Lighthouse accessibility audit to get a comprehensive baseline.
- Very specific: line 26
Check scores (0-1 scale). A score < 1 indicates violations.
- Very specific: line 29
Parsing: Do not read the entire file line-by-line.
- Very specific: line 50
Use take_snapshot to capture the accessibility tree.
- Very specific: line 51
Check Heading Levels: Ensure heading levels (h1, h2, h3, etc.) are logical and do not skip levels.
- Distinctive: line 52
Content Reordering: Verify that the DOM order (which drives the accessibility tree) matches the visual reading order.
- Very specific: line 57
Ensure interactive elements have an accessible name (e.g., a button should not just say "" if it only contains an icon).
- Very specific: line 58
Orphaned Inputs: Verify that all form inputs have associated labels.
- Very specific: line 59
Check images for alt text.
- Very specific: line 65
Use the press_key tool with "Tab" or "Shift+Tab" to move focus.
- Very specific: line 66
Use take_snapshot to capture the updated accessibility tree.
- Distinctive: line 68
If a modal opens, focus must move into the modal and "trap" within it until closed.
- Very specific: line 80
Call list_console_messages with types: ["issue"].
- Distinctive: line 81
Look for "Low Contrast" issues in the output.
- Very specific: line 83
If native audits do not report issues (which may happen in some headless environments) or if you need to check a specific element manually, …
- Distinctive: line 87
Verify document-level accessibility settings often missed in component testing using the "Global Page Checks" snippet found in …
- Very specific: line 91
If standard a11y queries fail or the evaluate_script snippets return unexpected results:
- Very specific: line 93
Visual Inspection: If automated scripts cannot determine contrast (e.g., text over gradient images or complex backgrounds), use …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
<!-- Modified from ChromeDevTools/chrome-devtools-mcp (tag chrome-devtools-mcp-v1.10.1, skills/a11y-debugging): frontmatter name changed from "a11y-debugging" to "cdt-a11y-debugging" for local vendoring. No other changes. -->Core Concepts
Page Targeting: Page-scoped tools (take_snapshot, list_console_messages, evaluate_script, press_key, take_screenshot, lighthouse_audit, etc.) require a pageId parameter. Retrieve available page IDs using list_pages or from new_page.
Accessibility Tree vs DOM: Visually hiding an element (e.g., CSS opacity: 0) behaves differently for screen readers than display: none or aria-hidden="true". The take_snapshot tool returns the accessibility tree of the page, which represents what assistive technologies "see", making it the most reliable source of truth for semantic structure.
Reading web.dev documentation: If you need to research specific accessibility guidelines (like https://web.dev/articles/accessible-tap-targets), you can append .md.txt to the URL (e.g., https://web.dev/articles/accessible-tap-targets.md.txt) to fetch the clean, raw markdown version. This is much easier to read!
Workflow Patterns
1. Automated Audit (Lighthouse)
Start by running a Lighthouse accessibility audit to get a comprehensive baseline. This tool provides a high-level score and lists specific failing elements with remediation advice.
- Run the audit:
- Set
modeto"navigation"to refresh the page and capture load issues. - Set
outputDirPath(e.g.,/tmp/lh-report) to save the full JSON report.
- Set
- Analyze the Summary:
- Check
scores(0-1 scale). A score < 1 indicates violations. - Review
audits.failedcount.
- Check
- Review the Report (CRITICAL):
- Parsing: Do not read the entire file line-by-line. Use a CLI tool like
jqor a Node.js one-liner to filter for failures:# Extract failing audits with their details node -e "const r=require('./report.json'); Object.values(r.audits).filter(a=>a.score!==null && a.score<1).forEach(a=>console.log(JSON.stringify({id:a.id, title:a.title, items:a.details?.items})))" - This efficiently extracts the
selectorandsnippetof failing elements without loading the full report into context.
- Parsing: Do not read the entire file line-by-line. Use a CLI tool like
2. Browser Issues & Audits
Chrome automatically checks for common accessibility problems. Use list_console_messages to check for these native audits:
types:["issue"]includePreservedMessages:true(to catch issues that occurred during page load)
This often reveals missing labels, invalid ARIA attributes, and other critical errors without manual investigation.
3. Semantics & Structure
The accessibility tree exposes the heading hierarchy and semantic landmarks.
- Navigate to the page.
- Use
take_snapshotto capture the accessibility tree. - Check Heading Levels: Ensure heading levels (
h1,h2,h3, etc.) are logical and do not skip levels. The snapshot will include heading roles. - Content Reordering: Verify that the DOM order (which drives the accessibility tree) matches the visual reading order. Use
take_screenshotto inspect the visual layout and compare it against the snapshot structure to catch CSS floats or absolute positioning that jumbles the logical flow.
4. Labels, Forms & Text Alternatives
- Locate buttons, inputs, and images in the
take_snapshotoutput. - Ensure interactive elements have an accessible name (e.g., a button should not just say
""if it only contains an icon). - Orphaned Inputs: Verify that all form inputs have associated labels. Use
evaluate_scriptwith the "Find Orphaned Form Inputs" snippet found in references/a11y-snippets.md. - Check images for
alttext.
5. Focus & Keyboard Navigation
Testing "keyboard traps" and proper focus management without visual feedback relies on tracking the focused element.
- Use the
press_keytool with"Tab"or"Shift+Tab"to move focus. - Use
take_snapshotto capture the updated accessibility tree. - Locate the element marked as focused in the snapshot to verify focus moved to the expected interactive element.
- If a modal opens, focus must move into the modal and "trap" within it until closed.
6. Tap Targets and Visuals
According to web.dev, tap targets should be at least 48x48 pixels with sufficient spacing. Since the accessibility tree doesn't show sizes, use evaluate_script with the "Measure Tap Target Size" snippet found in references/a11y-snippets.md.
Pass the element's uid from the snapshot as an argument to evaluate_script.
7. Color Contrast
To verify color contrast ratios, start by checking for native accessibility issues:
- Call
list_console_messageswithtypes: ["issue"]. - Look for "Low Contrast" issues in the output.
If native audits do not report issues (which may happen in some headless environments) or if you need to check a specific element manually, use evaluate_script with the "Check Color Contrast" snippet found in references/a11y-snippets.md.
8. Global Page Checks
Verify document-level accessibility settings often missed in component testing using the "Global Page Checks" snippet found in references/a11y-snippets.md.
Troubleshooting
If standard a11y queries fail or the evaluate_script snippets return unexpected results:
- Visual Inspection: If automated scripts cannot determine contrast (e.g., text over gradient images or complex backgrounds), use
take_screenshotto capture the element. While models cannot measure exact contrast ratios from images, they can visually assess legibility and identify obvious issues.
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