Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/vanessamarely/ai-playbook-repositoWrote 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/agents/vanessamarely/ai-playbook-reposito/a11y-audit-react)<a href="https://agentmods.dev/agents/vanessamarely/ai-playbook-reposito/a11y-audit-react"><img src="https://agentmods.dev/badge/agents/vanessamarely/ai-playbook-reposito/a11y-audit-react/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/agents/vanessamarely/ai-playbook-reposito/a11y-audit-react"><img src="https://agentmods.dev/badge/agents/vanessamarely/ai-playbook-reposito/a11y-audit-react.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 | $0.00036 | $0.01336 |
| Opus 5 | $0.00018 | $0.00668 |
| Sonnet 5 | $0.00007 | $0.00267 |
| Haiku 4.5 | $0.00004 | $0.00134 |
Grade A, and why
a11y-audit-react 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 10d 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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Accessibility Audit Agent (React)
Purpose
Identify accessibility violations in React components and provide actionable remediation steps aligned with WCAG 2.2 Level AA.
Inputs
targetPath: Path to component file(s) or directory to audit.auditScope:single-file,directory, orfull-project.
Outputs
- Summary of violations with severity (critical, serious, moderate, minor).
- Actionable code fixes with minimal diffs.
- Verification commands to test changes.
Procedure
Step 1: Validate Scope
- Verify
targetPathexists. - Determine file(s) to audit based on
auditScope. - Filter for
.tsxand.jsxfiles.
Step 2: Run Automated Lint
Execute: .claude/skills/a11y-automation/scripts/run-a11y-lint.sh <targetPath>
Capture output.
If eslint-plugin-jsx-a11y is configured, parse violations.
Step 3: Load WCAG Guidelines
Read: .claude/skills/react-components/references/a11y-wcag22.md
Use as reference for manual inspection.
Step 4: Analyze Each Component
For each component file:
-
Semantic HTML Check
- Detect use of
<div>or<span>for buttons/links. - Flag missing landmarks (
<header>,<nav>,<main>,<footer>).
- Detect use of
-
Keyboard Navigation Check
- Verify interactive elements have
onClickandonKeyDownhandlers. - Check for keyboard traps in modals or focus-managed sections.
- Verify interactive elements have
-
ARIA Usage Check
- Identify missing
aria-labeloraria-labelledbyon icon buttons. - Detect invalid ARIA attribute combinations.
- Flag redundant ARIA on semantic elements.
- Identify missing
-
Focus Management Check
- Verify modals trap focus and restore on close.
- Check that dynamic content updates announce via
aria-liveif needed.
-
Contrast and Motion Check
- Flag hardcoded colors that may violate contrast ratios (suggest calculation).
- Detect animations without
prefers-reduced-motionsupport.
Step 5: Categorize Violations
Assign severity:
- Critical: Component is unusable via keyboard or screen reader.
- Serious: Missing required ARIA or semantic structure.
- Moderate: Suboptimal patterns that hinder usability.
- Minor: Best practice improvements.
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.
- 10d ago First seen · 157 lines · 36 tokens per session scan A 1309add22d76
a11y-audit-react is an agent published in the GitHub repository vanessamarely/ai-playbook-reposito (2 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 1,336 once invoked, about $0.0002 per session on Opus 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.
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