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 arvindand/agent-skills --skill ui-ux-designgit clone --depth 1 https://github.com/arvindand/agent-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/arvindand/agent-skills/ui-ux-design)<a href="https://agentmods.dev/skills/arvindand/agent-skills/ui-ux-design"><img src="https://agentmods.dev/badge/skills/arvindand/agent-skills/ui-ux-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/arvindand/agent-skills/ui-ux-design"><img src="https://agentmods.dev/badge/skills/arvindand/agent-skills/ui-ux-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00098 | $0.01060 |
| Opus 5 | $0.00049 | $0.00530 |
| Sonnet 5 | $0.00020 | $0.00212 |
| Haiku 4.5 | $0.00010 | $0.00106 |
Grade A, and why
ui-ux-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 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.
How it starts
The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
UI/UX Design
Create functional, accessible, visually distinctive interfaces. Output is working code.
When to Use
Activate automatically when:
- User requests UI components, pages, or applications
- User mentions forms, dashboards, landing pages, modals
- User asks to "design", "build", or "create" any interface
- User wants to improve existing UI/UX
Workflow
Step 1: Assess Context
Before coding, identify (internal reasoning):
- Problem being solved
- Target users
- Aesthetic direction (see REFERENCES.md)
- Constraints (framework, brand, accessibility level)
Step 2: Consult References
Fetch implementation values from REFERENCES.md:
- Color palette (with WCAG-compliant values)
- Font pairing
- Component patterns (button, input, card, etc.)
- Spacing and typography tokens
Step 3: Generate Code
Produce working implementation with:
- All interactive states (hover, focus, active, disabled, loading, error)
- Semantic HTML (button, nav, main—not div soup)
- Mobile-first responsive design
- CSS variables for maintainability
Step 4: Verify
Run through checklist before delivering.
Output Requirements
| Requirement | Standard |
|---|---|
| Contrast | 4.5:1 text, 3:1 UI components |
| Focus states | Visible outline on all interactive elements |
| Touch targets | Minimum 44×44px |
| Reduced motion | Respect prefers-reduced-motion |
| Labels | All inputs have associated labels |
| Empty states | Helpful message + clear action |
| Error states | Explain what happened + how to fix |
Aesthetic Direction
Pick an extreme and commit. Indecision produces generic output. Pick a clear conceptual direction — brutally minimal, maximalist, retro-futuristic, editorial, neubrutalist, organic, luxury/refined, industrial — and execute it with precision. Bold maximalism and refined minimalism both work; the failure mode is timid middle-ground.
See REFERENCES.md for characteristics of each direction.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 131 lines · 98 tokens per session scan A 80255858e46d
ui-ux-design is a skill published in the GitHub repository arvindand/agent-skills (16 stars, last pushed 12d ago), licensed MIT. It adds 98 tokens to every session and 1,060 once invoked, about $0.0005 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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