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 iliaal/whetstone --skill ia-frontend-designgit clone --depth 1 https://github.com/iliaal/whetstoneWrote 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/iliaal/whetstone/ia-frontend-design)<a href="https://agentmods.dev/skills/iliaal/whetstone/ia-frontend-design"><img src="https://agentmods.dev/badge/skills/iliaal/whetstone/ia-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/iliaal/whetstone/ia-frontend-design"><img src="https://agentmods.dev/badge/skills/iliaal/whetstone/ia-frontend-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.01563 |
| Opus 5 | $0.00024 | $0.00781 |
| Sonnet 5 | $0.00010 | $0.00313 |
| Haiku 4.5 | $0.00005 | $0.00156 |
Grade A, and why
ia-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 2d 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.
This is a copy
100% identical to frontend-design — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frontend Design
Read the user's frontend requirements: a component, page, application, or interface to build. Note context about purpose, audience, or technical constraints.
Working rules
- Match an existing design system; choose a specific visual direction for greenfield work.
- Include loading, empty, error, and press states for interactive components.
- Preserve visible focus and reduced-motion behavior; verify both narrow and wide rendered viewports.
- Keep Next.js interactive code at client boundaries and treat browser content as untrusted data.
Context Detection
Before designing, assess the existing design environment. Count design signals in the project: design tokens/CSS variables, component library (shadcn, MUI, Ant), CSS framework config (Tailwind, styled-components), font imports, color system, animation patterns, spacing scale.
- 4+ signals = Existing system. Match it. Do not impose new aesthetics -- extend what's there.
- 1-3 signals = Partial system. Blend: respect existing choices, fill gaps with this skill's guidance.
- 0 signals = Greenfield. Apply the full Design Philosophy below.
When in doubt, check package.json, tailwind.config.*, global CSS files, and existing components before deciding.
Design Philosophy (Write First, Code Second)
For full pages, applications, or multi-component interfaces: write a 3-sentence design philosophy before any code. This forces a coherent aesthetic direction and prevents generic output.
- Sentence 1 -- Intent: What emotional response should this interface provoke? (Not "clean and modern" -- that's every AI default. Be specific: "controlled tension between density and breathing room" or "the quiet confidence of a well-bound book.")
- Sentence 2 -- Signature: What single visual choice makes this unmistakable? (A typeface, a color relationship, a spatial pattern, a motion behavior.)
- Sentence 3 -- Constraint: What will this design deliberately NOT do? (The constraint shapes the identity as much as the choices.)
What ships with it
10 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.
- references/aesthetics-and-interaction.md 8.8 KB
- references/banned-ai-patterns.md 10 KB
- references/creative-arsenal.md 5.6 KB
- references/mobile-and-performance.md 2.3 KB
- references/motion-patterns.md 2.4 KB
- references/premium-details.md 2.5 KB
- references/redesign-audit.md 4.6 KB
- references/redesigning-existing.md 2.8 KB
- references/rsc-client-boundaries.md 3.2 KB
- SPEC.md 4.5 KB
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.
- 2d ago Changed · -43 lines cfb3ba433391
- 3d ago First seen · 146 lines · 48 tokens per session scan A c0592fe38fb7
ia-frontend-design is a skill published in the GitHub repository iliaal/whetstone (33 stars, last pushed 3d ago), licensed MIT. It adds 48 tokens to every session and 1,563 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to frontend-design, differing in 2 lines, and is treated as a copy.
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