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.
npx skills add vanessamarely/ai-playbook-reposito --skill a11y-automationgit 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/skills/vanessamarely/ai-playbook-reposito/a11y-automation)<a href="https://agentmods.dev/skills/vanessamarely/ai-playbook-reposito/a11y-automation"><img src="https://agentmods.dev/badge/skills/vanessamarely/ai-playbook-reposito/a11y-automation/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/vanessamarely/ai-playbook-reposito/a11y-automation"><img src="https://agentmods.dev/badge/skills/vanessamarely/ai-playbook-reposito/a11y-automation.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 | $0.00069 | $0.01990 |
| Opus 5 | $0.00034 | $0.00995 |
| Sonnet 5 | $0.00014 | $0.00398 |
| Haiku 4.5 | $0.00007 | $0.00199 |
Grade A, and why
a11y-automation 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 12d 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 — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Accessibility Automation
Purpose
Run automated accessibility checks using linters and browser-based testing tools to identify WCAG violations.
Inputs
targetPath: Path to files or directory to checkcheckType:lint,browser, orboth
Outputs
- Violation summary with counts by severity
- Exit code (0 for pass, non-zero for failures)
- Actionable remediation steps with code fixes
Procedures
1. Validate Target Path
Ensure the path exists and contains testable files.
For lint: Look for .tsx, .jsx, .ts, .js files.
For browser: Look for test files or running application.
2. Run Linting Checks
Execute: .agents/skills/a11y-automation/scripts/run-a11y-lint.sh <targetPath>
This script:
- Checks if
eslint-plugin-jsx-a11yis configured. - Runs eslint on the target path.
- Outputs violations grouped by rule.
If linter is not configured, output setup instructions.
3. Run Browser-Based Checks (Optional)
If checkType is browser or both:
Execute: node .agents/skills/a11y-automation/scripts/run-axe-playwright.mjs <targetPath>
This script:
- Checks if Playwright and @axe-core/playwright are available.
- Runs axe checks on rendered components or pages.
- Outputs violations by severity.
If not configured, provide setup guidance.
4. Parse Results
Extract:
- Total violation count
- Violations by severity (critical, serious, moderate, minor)
- Violations by rule (grouped)
- File and line number for each violation
5. Summarize Findings
Output to chat:
- Summary statistics (total violations, by severity, by rule)
- Per-file breakdown with line numbers
- Brief descriptions of each violation type
6. Propose Fixes
For critical and serious violations:
- Show code snippet with issue
- Provide corrected version
- Reference applicable WCAG guideline
- Apply fixes using minimal diffs
6. Output Remediation Steps
For each violation type, provide:
- WCAG guideline reference (e.g., 2.4.7 Focus Visible)
- Explanation of why it matters
- Code example of correct implementation
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 270 lines · 69 tokens per session scan A 60562de670c5
a11y-automation is a skill published in the GitHub repository vanessamarely/ai-playbook-reposito (2 stars, last pushed 1mo ago), licensed MIT. It adds 69 tokens to every session and 1,990 once invoked, about $0.0003 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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