Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/JansenAnalytics/claudexnpx agentmods add skills/jansenanalytics/claudex/a11y-auditWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/jansenanalytics/claudex/a11y-audit)<a href="https://agentmods.dev/skills/jansenanalytics/claudex/a11y-audit"><img src="https://agentmods.dev/badge/skills/jansenanalytics/claudex/a11y-audit/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/jansenanalytics/claudex/a11y-audit"><img src="https://agentmods.dev/badge/skills/jansenanalytics/claudex/a11y-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00031 | $0.00884 |
| Opus 5.5 | $0.00012 | $0.00354 |
| Sonnet 5.5 | $0.00006 | $0.00177 |
| Haiku 4.5 | $0.00003 | $0.00088 |
Grade A, and why
a11y-audit scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
a11y-audit
Accessibility auditing: WCAG compliance checking, contrast ratios, ARIA labels, keyboard navigation, semantic HTML, screen reader compatibility.
Use When
- Auditing web pages for accessibility compliance
- Checking color contrast ratios against WCAG standards
- Verifying ARIA attributes and landmark usage
- Ensuring keyboard navigability
- Meeting WCAG 2.1 AA standards
- Reviewing HTML for semantic correctness and screen reader compatibility
Scripts
contrast-checker.py
Calculates WCAG contrast ratios between foreground and background colors. Pure Python, no dependencies.
Single pair:
python3 scripts/contrast-checker.py --fg "#333333" --bg "#ffffff"
Batch mode (reads JSON file with array of {"fg": "#hex", "bg": "#hex", "label": "optional"} objects):
python3 scripts/contrast-checker.py --batch colors.json
Output includes:
- Contrast ratio (e.g., 12.63:1)
- Pass/fail for AA normal text (≥4.5:1), AA large text (≥3:1)
- Pass/fail for AAA normal text (≥7:1), AAA large text (≥4.5:1)
html-a11y-scan.py
Scans an HTML file for common accessibility issues. Uses Python's built-in html.parser.
python3 scripts/html-a11y-scan.py page.html
python3 scripts/html-a11y-scan.py page.html --format json
python3 scripts/html-a11y-scan.py page.html --format text
Checks for:
- Images without
altattributes (critical) - Form inputs without labels or
aria-label(critical) - Missing
langattribute on<html>(critical) - Empty links or buttons (warning)
- Skipped heading levels (warning)
- Tables without
<th>headers (warning) - Missing ARIA landmarks:
main,nav,banner,contentinfo(info)
Output (JSON by default): array of issues with severity, element, line, issue, and suggestion fields.
keyboard-nav-checklist.sh
Generates a Markdown checklist for manual keyboard navigation testing.
bash scripts/keyboard-nav-checklist.sh
bash scripts/keyboard-nav-checklist.sh --output checklist.md
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 117 lines · 31 tokens per session scan A be2960589249
a11y-audit is a skill published in the GitHub repository JansenAnalytics/claudex (5 stars, last pushed 4mo ago), licensed MIT. It adds 31 tokens to every session and 884 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
accessibility
Use when making a web UI conform to WCAG 2.2 Level AA — axe-core or Lighthouse a11y violations, keyboard operability, focus management, ARIA roles/names/live regions, contrast, tap-target size. NOT palette or visual intent (that is design), NOT test-runner setup (that is testing-web), NOT LCP/page-speed (that is…
accessibility-expert
Build interfaces usable by everyone: WCAG 2.2 conformance, semantic HTML, ARIA, keyboard navigation, screen readers and accessible forms. Use when the user mentions accessibility, a11y, WCAG, ARIA, screen readers, keyboard navigation, colour contrast, focus management, the European Accessibility Act or Section 508, or…
accessibility-engineer
You are the Accessibility Engineering Specialist. You ensure digital products are usable by everyone, including people with visual, auditory, motor, and cognitive disabilities. You audit against WCAG 2.2 standards (AA minimum, AAA preferred), implement ARIA patterns, ensure keyboard navigability, test with screen…
design-md
Author/validate/export Google's DESIGN.md token spec files.
kb-cognitive-accessibility
Reference data, not a reviewer. Review UI for cognitive load, plain language clarity, and WCAG 2.2 cognitive SC (3.3.7, 3.3.8, 3.3.9). Includes COGA guidance, reading level, auth patterns, and timeout warnings.
kb-design-system
Reference data, not a reviewer. Validate design system tokens for WCAG AA/AAA contrast. Compute color token contrast, focus ring validation (WCAG 2.4.13), motion tokens, and spacing for touch targets across frameworks.