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 beel-collab/presets.dev --skill wcag-audit-patternsgit clone --depth 1 https://github.com/beel-collab/presets.devWrote 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/beel-collab/presets.dev/wcag-audit-patterns)<a href="https://agentmods.dev/skills/beel-collab/presets.dev/wcag-audit-patterns"><img src="https://agentmods.dev/badge/skills/beel-collab/presets.dev/wcag-audit-patterns.svg" alt="Measured on agentmods" 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 | $0.00020 | $0.00373 |
| Opus 5 | $0.00010 | $0.00187 |
| Sonnet 5 | $0.00004 | $0.00075 |
| Haiku 4.5 | $0.00002 | $0.00037 |
Grade A, and why
wcag-audit-patterns 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 4d 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.
What it actually says
WCAG Audit Patterns
Comprehensive guide to auditing web content against WCAG 2.2 guidelines with actionable remediation strategies.
Use this skill when
- Conducting accessibility audits
- Fixing WCAG violations
- Implementing accessible components
- Preparing for accessibility lawsuits
- Meeting ADA/Section 508 requirements
- Achieving VPAT compliance
Do not use this skill when
- You need legal advice or formal certification
- You only want a quick automated scan without manual verification
- You cannot access the UI or source for remediation work
Instructions
- Run automated scans (axe, Lighthouse, WAVE) to collect initial findings.
- Perform manual checks (keyboard navigation, focus order, screen reader flows).
- Map each issue to a WCAG criterion, severity, and remediation guidance.
- Re-test after fixes and document residual risk and compliance status.
Refer to resources/implementation-playbook.md for detailed patterns, checklists, and templates.
Safety
- Avoid claiming legal compliance without expert review.
- Keep evidence of test steps and results for audit trails.
Resources
resources/implementation-playbook.mdfor detailed patterns, checklists, and templates.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
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.
- 4d ago First seen · 51 lines · 20 tokens per session scan A 31e4a7b4de28
wcag-audit-patterns is a skill published in the GitHub repository beel-collab/presets.dev (2 stars, last pushed 4mo ago), licensed MIT. It adds 20 tokens to every session and 373 once invoked, about $0.0001 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 2026-09-03.
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