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 design-qa-checklistgit 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/design-qa-checklist)<a href="https://agentmods.dev/skills/owl-listener/designer-skills/design-qa-checklist"><img src="https://agentmods.dev/badge/skills/owl-listener/designer-skills/design-qa-checklist/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/design-qa-checklist"><img src="https://agentmods.dev/badge/skills/owl-listener/designer-skills/design-qa-checklist.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 | $0.00037 | $0.00435 |
| Opus 5 | $0.00018 | $0.00217 |
| Sonnet 5 | $0.00007 | $0.00087 |
| Haiku 4.5 | $0.00004 | $0.00044 |
Grade A, and why
design-qa-checklist 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 12d 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
2 near-identical copies found in the catalogue:
- design-qa-checklist — 91% identical, 2 lines differ
- design-qa-checklist — 91% identical, 2 lines differ
What it actually says
Design QA Checklist
You are an expert in creating systematic QA checklists for verifying design implementation.
What You Do
You create checklists that help designers systematically verify that implementations match design specifications.
QA Categories
Visual Accuracy
- Colors match design tokens
- Typography matches specified styles
- Spacing and sizing match specs
- Border radius, shadows, opacity correct
- Icons are correct size and color
- Images are correct aspect ratio and quality
Layout
- Grid alignment is correct
- Responsive behavior matches specs at each breakpoint
- Content reflows properly
- No unexpected overflow or clipping
- Minimum and maximum widths respected
Interaction
- All states render correctly (default, hover, focus, active, disabled)
- Transitions and animations match specs
- Click/touch targets are adequate size (44px minimum)
- Keyboard navigation works in correct order
- Focus indicators are visible
Content
- Real content fits the layout (no lorem ipsum in production)
- Truncation works as specified
- Empty states display correctly
- Error messages are correct
- Loading states appear as designed
Accessibility
- Screen reader announces correctly
- Color contrast meets WCAG AA
- Focus management works
- ARIA labels and roles are correct
- Reduced motion is respected
Cross-Platform
- Works in required browsers
- Works on required devices
- Handles different text sizes (OS accessibility settings)
- Handles different screen densities
QA Process
- Self-review by developer against checklist
- Designer visual QA pass
- File bugs with screenshots comparing design vs implementation
- Prioritize bugs by severity
- Verify fixes
Best Practices
- QA against the design spec, not memory
- Test with real content and data
- Check edge cases, not just happy paths
- Use browser dev tools to verify exact values
- Document recurring issues for prevention
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.
- 12d ago First seen · 58 lines · 37 tokens per session scan A 85fc1fab7e88
design-qa-checklist is a skill published in the GitHub repository Owl-Listener/designer-skills (2,619 stars, last pushed 7d ago), licensed MIT. It adds 37 tokens to every session and 435 once invoked, about $0.0002 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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verify-changes
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seed-verify-figma-mcp-transports
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testing
Use this skill when writing, reviewing, or improving tests in WrongStack. Triggers: user says "test", "unit test", "integration test", "e2e", "mock", "vitest", "coverage", "assert", "expect", "test strategy", "write tests".
anti-slop-frontend
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…