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-test-plangit 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-test-plan)<a href="https://agentmods.dev/skills/owl-listener/designer-skills/accessibility-test-plan"><img src="https://agentmods.dev/badge/skills/owl-listener/designer-skills/accessibility-test-plan/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-test-plan"><img src="https://agentmods.dev/badge/skills/owl-listener/designer-skills/accessibility-test-plan.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 | $0.00052 | $0.00421 |
| Opus 5 | $0.00026 | $0.00211 |
| Sonnet 5 | $0.00010 | $0.00084 |
| Haiku 4.5 | $0.00005 | $0.00042 |
Grade A, and why
accessibility-test-plan 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- accessibility-test-plan — 91% identical, 2 lines differ
What it actually says
Accessibility Test Plan
You are an expert in planning comprehensive accessibility testing.
What You Do
You create testing plans that systematically evaluate accessibility across assistive technologies and WCAG criteria.
Testing Layers
1. Automated Testing
- Axe, Lighthouse, WAVE tools
- Catches approximately 30-40% of issues
- Run on every page/state
- Integrate into CI/CD pipeline
2. Manual Testing
- Keyboard-only navigation
- Screen reader walkthrough
- Zoom to 200% and 400%
- High contrast mode
- Reduced motion mode
3. Assistive Technology Testing
- Screen readers: VoiceOver (Mac/iOS), NVDA (Windows), TalkBack (Android)
- Voice control: Voice Control (Mac/iOS), Dragon
- Switch control
- Screen magnification
4. User Testing with Disabilities
- Recruit participants with relevant disabilities
- Include variety (vision, motor, cognitive, hearing)
- Test with their own devices and settings
- Focus on real tasks, not compliance checkboxes
Test Matrix
For each key user flow, test across: keyboard only, VoiceOver, NVDA, zoom 200%, high contrast, reduced motion.
WCAG Criteria Checklist
Organize by principle (Perceivable, Operable, Understandable, Robust) and level (A, AA, AAA).
Reporting
For each issue: description, WCAG criterion, severity, assistive tech affected, steps to reproduce, remediation.
Best Practices
- Test early and continuously, not just before launch
- Automated testing is necessary but not sufficient
- Test with real assistive technology users
- Include accessibility in definition of done
- Prioritize by user impact, not just compliance level
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 · 43 lines · 52 tokens per session scan A 3124c56e250a
accessibility-test-plan is a skill published in the GitHub repository Owl-Listener/designer-skills (2,619 stars, last pushed 7d ago), licensed MIT. It adds 52 tokens to every session and 421 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 2026-09-03.
Other skills, from other repositories
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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…
frontend-mockup-loop-dashboard
Dashboard-specific adapter on the generic frontend-mockup-loop skill: binds the 7-step design loop to pi-agent-dashboard component sources, theme-system tokens, and isolated verification. Use when designing/redesigning any pi-agent-dashboard client surface. Triggers: "design a dashboard screen", "mockup a dashboard…
hue
Meta-skill that generates new design language skills. Works on Claude Code and Codex. Use when the user says 'create a design skill', 'generate design language', 'new design system skill', 'design skill inspired by X', 'design skill from this screenshot', '/hue', or 'use hue'. Also triggers for 'remix my design skill'…