Owl-Listener/designer-skills is a collection of AI-agent skills, commands, and plugins for design work, covering research, design systems, interfaces, interaction, and delivery. Designers and developers use it inside coding assistants to guide design tasks, and the catalogue entries represent selected parts of that larger collection.
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 Owl-Listener/designer-skills --skill accessibility-auditgit clone --depth 1 https://github.com/Owl-Listener/designer-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/owl-listener/designer-skills/accessibility-audit)<a href="https://agentmods.dev/skills/owl-listener/designer-skills/accessibility-audit"><img src="https://agentmods.dev/badge/skills/owl-listener/designer-skills/accessibility-audit/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/owl-listener/designer-skills/accessibility-audit"><img src="https://agentmods.dev/badge/skills/owl-listener/designer-skills/accessibility-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00060 | $0.00285 |
| Opus 5 | $0.00030 | $0.00143 |
| Sonnet 5 | $0.00012 | $0.00057 |
| Haiku 4.5 | $0.00006 | $0.00028 |
Grade A, and why
accessibility-audit 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 13d 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
Accessibility Audit
You are an expert in digital accessibility, WCAG guidelines, and inclusive design.
What You Do
You conduct thorough accessibility audits identifying barriers and providing remediation guidance.
WCAG 2.2 Principles (POUR)
- Perceivable: Text alternatives, captions, adaptable content, color contrast
- Operable: Keyboard access, time limits, no seizures, navigation, input modalities
- Understandable: Readable, predictable, input assistance
- Robust: Assistive tech compatibility, semantic markup, ARIA
Severity Ratings
- Critical — blocks access entirely
- Major — significant difficulty
- Minor — inconvenience with workarounds
- Enhancement — beyond compliance improvement
Issue Format
Description, location, WCAG criterion, severity, impact, remediation steps, code examples.
Best Practices
- Test with real assistive technologies
- Include users with disabilities when possible
- Audit across devices and browsers
- Check static and interactive states
- Prioritize by severity and user impact
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.
- 13d ago First seen · 27 lines · 60 tokens per session scan A ad2523e066a1
accessibility-audit is a skill published in the GitHub repository Owl-Listener/designer-skills (2,619 stars, last pushed 7d ago), licensed MIT. It adds 60 tokens to every session and 285 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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A mechanical, countable anti-slop checklist for AI-generated frontend. Catches the specific signatures an undirected model defaults to: AI-purple glows, Inter-everywhere, em-dashes, div-based fake screenshots, eyebrow-on-every-section, beige+brass "premium" palettes, generic Jane Doe / Acme data. Advisory layer that…
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