Runs axe-core and Lighthouse scans against your web project, maps violations to WCAG 2.1 AA (or other standards like EN 301 549), and outputs structured reports in markdown, JSON, or direct to your issue tracker. The bundled scripts handle dependency resolution automatically, so you don't need accessibility tooling already installed. Includes a discovery mode for large sites that groups pages by template and picks representatives to scan. This is an auditor, not a fixer. It tells you what's broken and points to remediation guidance, but you decide what to fix. Good for compliance checks, CI integration, or kicking off remediation sprints.
npx -y skills add snapsynapse/skill-a11y-audit --skill a11y-audit --agent claude-codeInstalls into .claude/skills of the current project.
This skill operates as a single layer. It reads the project environment, runs automated accessibility tools, maps findings to compliance standards, and produces output in a configurable format. No external skill dependency is required.
Store project-specific audit state in the target workspace, not in the
installed skill directory. Default path:
.a11y-audit/PROJECT_CONTEXT.md at the workspace root. When that file
exists, use it for project-specific configuration: output mode,
additional compliance standards, issue tracker settings, route lists,
color palettes, and cross-references to existing documentation. When
absent, use WCAG 2.1 AA as the sole standard, markdown as the output
mode, and generic defaults for everything else.
Use references/project-context-template.md as the canonical schema for
that file, including minimal and markdown+issues examples.
Prefer bundled helpers over ad hoc generation when they fit:
scripts/bootstrap-context.js creates a workspace-local
.a11y-audit/PROJECT_CONTEXT.md from simple inputs.scripts/scan.js runs reusable axe-based scans and records optional
Lighthouse execution intent. Use --summary to reduce output size
(keeps full violation detail, strips node data from passes/inapplicable).scripts/report.js generates the markdown report and JSON data file
from scan.js output. Handles WCAG compliance matrix, violation
aggregation, and color-contrast detail extraction deterministically.scripts/discover.js identifies template groups on large sites and
selects representative pages for scanning. Reads sitemap.xml first,
falls back to HTML navigation crawl. Outputs a scan plan with
template groups and a ready-to-use URL list for scan.js. Discovery is
same-origin by default; use --allow-cross-origin-sitemaps only after
the user approves sitemap-declared cross-origin targets.scan.js requires axe-core and puppeteer. It resolves these in order:
deps/ directory (sibling to scripts/)node_modules/ (and common workspace subdirs)If not found anywhere, scan.js auto-installs both packages to the
skill-local deps/ directory. This means the skill works against any
project without requiring the target to have accessibility tooling
installed. The deps/ directory is gitignored.
Because scan.js may auto-install missing dependencies, agents should
ask before invoking scan.js when the target workspace does not already
provide axe-core and the chosen browser automation package.
The bundled scanner supports Puppeteer only. Treat --browser as a
fixed option, not a user-controlled package installer.
references/claude-code.md for
.claude/launch.json handling and Preview tool usage.references/codex.md for workspace-local
state handling and execution assumptions.references/output-contract.md and references/output-schema.json
are encoded in scripts/report.js. Read them only when modifying the
report script.references/issue-trackers.md only when output_mode is
markdown+issues.assets/ci/github-actions/accessibility-audit.yml.scripts/plan-issues.js before live ticket creation when you
need a safe review and deduplication pass.The skill does not modify source code. It is an auditor, not a fixer. Findings are reported with remediation guidance; the user decides what to act on.
The skill supports three output modes, configured via the output_mode
field in .a11y-audit/PROJECT_CONTEXT.md:
| Mode | Output | Use Case |
|---|---|---|
markdown | Markdown report only | Human review, documentation |
markdown+json | Markdown report + JSON data file | CI integration, dashboards, trend tracking |
markdown+issues | Markdown report + issue tracker tickets | Active remediation workflow |
On first run, if no output_mode is set in
.a11y-audit/PROJECT_CONTEXT.md, ask the user which mode they prefer
and persist their choice by appending an ## Output Configuration
section to that file. If no context file exists, create it at the
default path following references/project-context-template.md. Prefer
scripts/bootstrap-context.js for first-run context creation when a
simple generated file is sufficient.
The markdown+json mode writes a companion file alongside the report:
audit-YYYY-MM-DD.json containing the raw axe-core results, Lighthouse
scores, and the compliance matrix as structured data. This file is
machine-readable and can be consumed by CI pipelines, dashboards, or
trend-tracking tools.
The markdown+issues mode requires additional configuration in the
context file (see Phase 6).
An accessibility audit moves through six phases. Each phase produces data
the next phase consumes. Phases 1-4 always run. Phase 5 produces output
based on the configured output mode. Phase 6 runs only in
markdown+issues mode and requires explicit user confirmation.
The user can request a partial run. Common patterns:
Purpose: Understand the project before scanning.
.a11y-audit/PROJECT_CONTEXT.md if it exists (standards, routes,
output mode, labels). If absent, create it via
scripts/bootstrap-context.js or from
references/project-context-template.md.package.json for tech stack, existing a11y tooling, and
available browser automation (puppeteer / playwright).scripts/discover.js
to classify pages into template groups and select representatives.
Review the scan plan with the user before proceeding to Phase 2..claude/launch.json and
platform-specific references for launch hints. If the app starts on a
different URL than expected, switch to the live URL, record the
mismatch, and update the context file.Output: Structured summary reported to the user before proceeding.
Purpose: Run automated accessibility checks against live pages.
Prerequisite: A running dev server (or production URL provided by the user).
Prefer the bundled scripts/scan.js before writing a throwaway scan
script. Use an ad hoc script only when the workspace needs behavior that
the bundled script does not yet support.
The reusable scanner should:
puppeteer and axe-corewaitUntil: 'networkidle0')
c. Injects axe-core: reads the axe-core source file from
node_modules/axe-core/axe.min.js and injects it via
page.evaluate()
d. Runs the audit: page.evaluate(() => axe.run())
e. Collects the results JSONExample invocation:
node a11y-audit/scripts/scan.js \
--root . \
--urls http://127.0.0.1:3000/,http://127.0.0.1:3000/about \
--output /tmp/a11y-scan.json \
--summary
Adapt to the project. If dependencies live in a frontend
subdirectory, point --root at the workspace root; the bundled script
already checks common frontend paths. If that still fails, fall back to
an ad hoc script or run from the frontend directory directly.
Common mistake: Do not use require() in an ES module project. Check
package.json for "type": "module". If present, use import syntax
and the __dirname workaround in any ad hoc script. If absent,
require() is fine.
Playwright alternative: If the project uses Playwright instead of
Puppeteer, adapt the script: replace puppeteer.launch() with
chromium.launch(), use page.goto() the same way, and inject
axe-core via page.evaluate(). The axe-core injection pattern is
identical. Use whichever browser automation library the project already
has installed.
Run Lighthouse CLI against each target URL:
npx lighthouse <url> \
--output=json \
--output-path=stdout \
--only-categories=accessibility \
--chrome-flags="--headless --no-sandbox" \
--quiet
Parse the JSON output. Extract:
categories.accessibility.score (0-1, multiply by 100)audits where score !== 1 (failed or partial audits)description and details.itemsIf Lighthouse is unavailable or fails (common in CI environments), skip it and note the gap in the report. In the executive summary and methodology, explicitly say whether Lighthouse was skipped because the CLI was missing, Chrome launch failed, or another runtime error occurred. axe-core results alone are sufficient for a valid audit.
scanList for --urls.
The report methodology will record the sampling strategy.For each page, collect:
url: the scanned URLviolations: array of axe violations, each with id, impact
(critical/serious/moderate/minor), description, help, helpUrl,
tags (WCAG criteria), nodes (affected elements with selectors)passes: count of passing rulesincomplete: rules that could not be fully evaluatedlighthouseScore: 0-100 (if available)lighthouseAudits: failed audit details (if available)Purpose: Map automated findings to WCAG 2.1 AA success criteria and any project-specific standards.
scripts/report.js handles the compliance matrix deterministically. It
hardcodes all 50 WCAG 2.1 Level A and AA criteria, maps axe tags to
success criteria, and produces the matrix as part of its markdown and
JSON output. You do not need to build the matrix manually.
If .a11y-audit/PROJECT_CONTEXT.md specifies additional standards
(e.g., CAN-ASC-6.2), build a secondary mapping. Cross-reference
automated findings where the standard maps to WCAG criteria. For
requirements that go beyond WCAG (equity, organizational processes,
transparency), note them as manual review items referencing the
project's existing conformance documentation.
Purpose: Generate targeted checklists for what automation cannot verify, prioritized by the automated findings.
For each WCAG criterion marked "Manual" in the Phase 3 matrix, generate a testing item. Organize by testing method: Keyboard Navigation, Screen Reader, Visual Inspection, Cognitive, and Timing/Motion.
Dynamic prioritization: Do not produce a static checklist. Use the Phase 2 results to focus manual effort:
Each checklist item specifies: the WCAG criterion, what to test, how to test it, and which pages to focus on (pages where automated issues were found get priority).
If .a11y-audit/PROJECT_CONTEXT.md references an existing testing guide,
cross-link to it rather than duplicating procedures.
Purpose: Produce output based on the configured output mode.
Run scripts/report.js to generate the markdown report and JSON data
file from the Phase 2 scan output:
node a11y-audit/scripts/report.js \
--input /tmp/a11y-scan.json \
--output-dir docs/accessibility/audits \
--project-name "Project Name" \
--runtime-url http://127.0.0.1:3000 \
--expected-url http://localhost:3000 \
--discover /tmp/a11y-discover.json
Pass --discover when a discover.js scan plan was used. This adds a
Sampling Strategy subsection to the report methodology documenting
template groups and coverage ratio.
Pass --previous <prior-audit.json> to generate a Delta from Previous
Audit section showing fixed rules, new rules, changed instance counts,
and net progress.
The script produces audit-YYYY-MM-DD.md and audit-YYYY-MM-DD.json
following the contracts in references/output-contract.md and
references/output-schema.json. You do not need to read those reference
files unless modifying the report script itself.
After running report.js, review its output and fill in the Manual Testing Recommendations section with the Phase 4 guidance (report.js leaves a placeholder for this since it requires reasoning about the specific findings pattern).
.a11y-audit/PROJECT_CONTEXT.md can override the output path.
If the user wants a recurring or on-demand CI job, adapt
assets/ci/github-actions/accessibility-audit.yml to the target
workspace instead of inventing a workflow from scratch.
Purpose: Create issue tracker tickets for findings. Runs only when
the output mode is markdown+issues.
This phase requires explicit user confirmation. Before creating any tickets, show the user how many will be created, at what priority levels, and ask for approval.
Read references/issue-trackers.md for tracker configuration,
deduplication, priority mapping, and ticket structure. Use the tracker
settings from .a11y-audit/PROJECT_CONTEXT.md.
After completing an audit, verify these quality checks:
axe results valid: Compare violation count against a manual axe DevTools browser extension run on the same page. Counts should match within tolerance (axe versions may differ slightly).
Lighthouse score consistent: Compare against a manual Chrome DevTools Lighthouse run when Lighthouse was actually executed. Should be within 5 points.
WCAG matrix complete: All 50 AA criteria appear in the compliance matrix. No criterion is missing.
Treat the matrix as evidence-oriented status reporting. Do not frame it as proof of full conformance, because many WCAG criteria remain manual even in a strong automated run.
Report structure: All required sections present. Tables render correctly in a markdown viewer.
JSON validity (markdown+json mode): JSON file parses without
error. Violation counts match the markdown report.
Issue deduplication (markdown+issues mode): Run the skill
twice. The second run should create zero duplicate tickets.
Output mode persistence: After first run, verify the output mode
is saved to .a11y-audit/PROJECT_CONTEXT.md and used automatically
on next run.
Runtime URL reconciliation: If the app started on a different
local URL than expected, verify the report records the mismatch and
the context file reflects the actual working base_url.
markdown+json output mode provides structured data for building
CI integrations, but the skill itself does not run in CI.leonxlnx/taste-skill
supercent-io/skills-template
supercent-io/skills-template