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 seb1n/awesome-ai-agent-skills --skill frontend-designgit clone --depth 1 https://github.com/seb1n/awesome-ai-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/seb1n/awesome-ai-agent-skills/frontend-design)<a href="https://agentmods.dev/skills/seb1n/awesome-ai-agent-skills/frontend-design"><img src="https://agentmods.dev/badge/skills/seb1n/awesome-ai-agent-skills/frontend-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/seb1n/awesome-ai-agent-skills/frontend-design"><img src="https://agentmods.dev/badge/skills/seb1n/awesome-ai-agent-skills/frontend-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 | $0.00040 | $0.02131 |
| Opus 5 | $0.00020 | $0.01066 |
| Sonnet 5 | $0.00008 | $0.00426 |
| Haiku 4.5 | $0.00004 | $0.00213 |
Grade A, and why
frontend-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 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
1 near-identical copy found in the catalogue:
- Frontend Design — 100% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frontend Design
This skill enables the agent to design and implement frontend interfaces that are visually polished, responsive, accessible, and maintainable. The agent works with design systems — component libraries, spacing scales, color tokens, and typography scales — to produce consistent UI code. It outputs production-ready HTML, CSS (including Tailwind CSS), and framework components (React, Vue, Svelte) with WCAG-compliant accessibility and dark mode support built in.
Workflow
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Analyze Requirements and Constraints: Identify the target platforms (desktop, tablet, mobile), the framework in use (React, Vue, plain HTML), the styling approach (Tailwind, CSS Modules, styled-components), and any existing design tokens or brand guidelines. Determine the key pages or components needed and their priority order.
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Establish the Design System Foundation: Define the core tokens before writing any component code. This includes a spacing scale (4px base: 4, 8, 12, 16, 24, 32, 48, 64), a type scale (xs through 4xl with corresponding line-heights), a color palette with semantic tokens (primary, secondary, success, warning, error, neutral) in both light and dark variants, and border-radius and shadow tokens. These tokens ensure every component is visually consistent.
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Build Components with Variants: Implement each component with clearly defined variants (size, color, state). Use props or CSS classes to control variants rather than duplicating markup. Include all interactive states: default, hover, focus-visible, active, disabled. Ensure every interactive element has a visible focus ring for keyboard navigation.
-
Implement Responsive Layouts: Use CSS Grid for two-dimensional page layouts and Flexbox for one-dimensional component alignment. Define breakpoints (sm: 640px, md: 768px, lg: 1024px, xl: 1280px) and design mobile-first, layering complexity at larger breakpoints. Test that no horizontal scrolling occurs and that tap targets meet the 44x44px minimum on touch devices.
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 · 157 lines · 40 tokens per session scan A 0727ee960d42
frontend-design is a skill published in the GitHub repository seb1n/awesome-ai-agent-skills (179 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 2,131 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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