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 jaktestowac/awesome-copilot-for-testers --skill auditing-accessibilitygit clone --depth 1 https://github.com/jaktestowac/awesome-copilot-for-testersWrote 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/jaktestowac/awesome-copilot-for-testers/auditing-accessibility)<a href="https://agentmods.dev/skills/jaktestowac/awesome-copilot-for-testers/auditing-accessibility"><img src="https://agentmods.dev/badge/skills/jaktestowac/awesome-copilot-for-testers/auditing-accessibility/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/jaktestowac/awesome-copilot-for-testers/auditing-accessibility"><img src="https://agentmods.dev/badge/skills/jaktestowac/awesome-copilot-for-testers/auditing-accessibility.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00061 | $0.01490 |
| Opus 5 | $0.00030 | $0.00745 |
| Sonnet 5 | $0.00012 | $0.00298 |
| Haiku 4.5 | $0.00006 | $0.00149 |
Grade A, and why
auditing-accessibility 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 9d 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 — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Auditing Accessibility
Use this skill for accessibility reviews that go beyond a quick lint-style pass. It helps structure a full audit so findings are grounded in user impact, mapped to WCAG 2.2, and prioritized for remediation.
When to Use
- audit a single page or end-to-end user flow for accessibility
- sample multiple templates or a high-risk journey across a product
- triage suspected accessibility issues before filing tickets
- produce a technical audit report for a team
- produce a business-facing summary for stakeholders or release leads
- create a retest checklist after accessibility fixes
- combine manual checks with Playwright or automated tool output
Audit Principles
- User impact over raw counts - ten minor issues do not outweigh one blocker.
- Automated output is a lead, not a verdict - confirm important findings manually when possible.
- Native semantics first - missing semantics, labels, and keyboard access usually matter more than ARIA cleverness.
- One finding, one problem statement - deduplicate repeated symptoms into a single actionable issue.
- Exact criterion names - use the official WCAG 2.2 success criterion wording.
- Do not report SC 4.1.1 Parsing - it is not part of WCAG 2.2.
Workflow
Phase 0: Choose the audit mode
Pick the lightest mode that matches the request:
- Quick triage - short signal check for likely blockers and fast wins
- Full page audit - one page with deeper manual verification
- Journey audit - a user flow across multiple pages or states
- Site sampling - a representative pass across unique templates and critical journeys
If the user did not choose, infer the mode from the scope and explain what will be covered.
Phase 1: Frame the scope
Clarify:
- URL or page set
- authentication or special setup
- target standard, defaulting to WCAG 2.2 AA
- output mode: technical report, business summary, or both
- devices or browsers that matter most
- whether the audit is browser-only or should also use code/workspace clues when available
- known high-risk components such as forms, dialogs, menus, drag-and-drop, or rich text editors
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.
- 9d ago First seen · 169 lines · 61 tokens per session scan A 8736f49206a4
auditing-accessibility is a skill published in the GitHub repository jaktestowac/awesome-copilot-for-testers (113 stars, last pushed 13d ago), licensed MIT. It adds 61 tokens to every session and 1,490 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 2026-08-30.
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