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 supercharge-growth/ai-design-skills --skill accessibility-checker-by-strangergit clone --depth 1 https://github.com/supercharge-growth/ai-design-skillsWrote 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/supercharge-growth/ai-design-skills/accessibility-checker-by-stranger)<a href="https://agentmods.dev/skills/supercharge-growth/ai-design-skills/accessibility-checker-by-stranger"><img src="https://agentmods.dev/badge/skills/supercharge-growth/ai-design-skills/accessibility-checker-by-stranger/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/supercharge-growth/ai-design-skills/accessibility-checker-by-stranger"><img src="https://agentmods.dev/badge/skills/supercharge-growth/ai-design-skills/accessibility-checker-by-stranger.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 | $0.00070 | $0.00971 |
| Opus 5.5 | $0.00028 | $0.00388 |
| Sonnet 5.5 | $0.00014 | $0.00194 |
| Haiku 4.5 | $0.00007 | $0.00097 |
Grade A, and why
accessibility-checker-by-stranger 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 2mo 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Accessibility Checker
Runs a structured WCAG 2.1 AA audit on whatever the user shares — a Figma frame, a screenshot, a live URL, or a component file. Returns issues ranked by severity with specific fixes.
When to use
- "Check accessibility of this screen"
- "Is this WCAG compliant?"
- "Audit a11y before handoff"
- Any time a design is about to ship and hasn't been reviewed
When NOT to use
- The user wants a full legal compliance review (recommend a human auditor)
- The user only wants a contrast check — answer inline without invoking the full skill
Inputs
One of:
- A screenshot or Figma frame
- A live URL (use Chrome tools if available)
- A component file
Plus, ideally: known user base context (does it need to support screen readers? keyboard-only? high contrast mode?)
Steps
Walk through each category. For every issue found, record: severity (blocker / major / minor), WCAG criterion, what's wrong, specific fix.
- Color contrast — Every text/background pair against WCAG AA: 4.5:1 for body text, 3:1 for large text (18pt+ or 14pt+ bold) and UI components. Compute actual ratios; don't eyeball.
- Target size — Interactive elements ≥ 24×24 CSS px (WCAG 2.5.8). Recommend 44×44 for primary touch targets.
- Focus order & visible focus — Tab order matches visual order; every focusable element has a visible focus indicator (not removed by
outline: nonewithout replacement). - Semantic structure — Headings in order (no skipping h2 → h4), buttons vs. links used correctly, lists marked up as
<ul>/<ol>, landmarks (<nav>,<main>,<footer>) present. - Text alternatives — Every meaningful image has
alt; decorative images havealt=""; icon-only buttons havearia-label. - Forms — Every input has a visible
<label>; errors are announced (not just colored red); required fields marked beyond color. - Motion & timing — Auto-playing content can be paused; no content flashes more than 3× per second; respects
prefers-reduced-motion. - Keyboard — Every interactive element reachable and operable via keyboard; no keyboard traps.
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.
- 2mo ago First seen · 80 lines · 70 tokens per session scan A 3cce05dd1904
accessibility-checker-by-stranger is a skill published in the GitHub repository supercharge-growth/ai-design-skills (2 stars, last pushed 5mo ago), licensed MIT. It adds 70 tokens to every session and 971 once invoked, about $0.0003 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.
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