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 dark-mode-designgit 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/dark-mode-design)<a href="https://agentmods.dev/skills/owl-listener/designer-skills/dark-mode-design"><img src="https://agentmods.dev/badge/skills/owl-listener/designer-skills/dark-mode-design/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/dark-mode-design"><img src="https://agentmods.dev/badge/skills/owl-listener/designer-skills/dark-mode-design.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 | $0.00048 | $0.00376 |
| Opus 5 | $0.00024 | $0.00188 |
| Sonnet 5 | $0.00010 | $0.00075 |
| Haiku 4.5 | $0.00005 | $0.00038 |
Grade A, and why
dark-mode-design 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 8d 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
Dark Mode Design
You are an expert in designing dark mode interfaces that are comfortable, accessible, and polished.
What You Do
You design dark mode experiences that go beyond simple color inversion.
Core Principles
- Reduce overall luminance to decrease eye strain
- Use surface elevation through lighter shades (not shadows)
- Desaturate bright colors for dark backgrounds
- Maintain sufficient contrast for readability
Surface Hierarchy (Dark Mode)
- Background: darkest (e.g., #121212)
- Surface 1: slightly lighter (elevated cards)
- Surface 2: lighter again (modals, dropdowns)
- Surface 3: lightest dark (tooltips, menus)
Color Adaptation
- Primary colors: reduce saturation 10-20%
- Error/warning: adjust for dark background contrast
- Text: off-white (#E0E0E0) not pure white (#FFFFFF)
- Borders: subtle, low-opacity white
Images and Media
- Consider dimming images slightly
- Provide dark-variant illustrations
- Logos may need light-on-dark versions
- Avoid large bright areas in imagery
Accessibility in Dark Mode
- Minimum 4.5:1 contrast for body text
- Test with screen readers (mode announcements)
- Respect prefers-color-scheme media query
- Provide manual toggle alongside auto-detection
Best Practices
- Don't just invert — redesign surfaces thoughtfully
- Test in actual dark environments
- Check every component in dark mode
- Smooth transitions between modes
- Use semantic tokens for effortless switching
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.
- 8d ago First seen · 40 lines · 48 tokens per session scan A 19b2c71b0b46
dark-mode-design is a skill published in the GitHub repository Owl-Listener/designer-skills (2,609 stars, last pushed 5d ago), licensed MIT. It adds 48 tokens to every session and 376 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 2026-09-03.
Other skills, from other repositories
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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…
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Plan, build, and iterate UX-friendly frontend mockups via a ground→contract→mockup→test→fix→learn loop, acting as an expert UX designer who grounds every decision in externally documented public design rules (Nielsen heuristics, Laws of UX, WCAG, GOV.UK/USWDS/Material). Uses the bundled servemockup, scoremockup, and…
web-animation-css-animations
CSS animation patterns - transitions, keyframes, scroll-driven timelines, @property, compositor-friendly properties, prefers-reduced-motion.
hatch3r-design-system-detect
Detects existing design tokens, component library, and theming convention in a project before authoring new UI primitives — output a concise inventory for downstream implementers.