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 OneWave-AI/claude-skills --skill claude-design-system-architectgit clone --depth 1 https://github.com/OneWave-AI/claude-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/onewave-ai/claude-skills/claude-design-system-architect)<a href="https://agentmods.dev/skills/onewave-ai/claude-skills/claude-design-system-architect"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/claude-design-system-architect/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/onewave-ai/claude-skills/claude-design-system-architect"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/claude-design-system-architect.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 | $0.00091 | $0.00992 |
| Opus 5 | $0.00046 | $0.00496 |
| Sonnet 5 | $0.00018 | $0.00198 |
| Haiku 4.5 | $0.00009 | $0.00099 |
Grade A, and why
claude-design-system-architect 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.
How it starts
The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claude Design System Architect
A design system is the difference between a site that looks bespoke and one that looks like every other AI-generated landing page. This skill builds the token layer and component language that makes everything downstream look intentional — then exports it in the formats your stack actually uses.
Pairs with claude-landing-composer (which consumes these tokens to build pages) and claude-design-critic (which audits against them).
Step 1 — Establish the brand inputs
From a brief, an existing site (WebFetch / screenshots), or a few reference sites the user likes:
- Personality — 3–5 adjectives (e.g. "warm, editorial, confident, calm"). These drive every later decision.
- Audience & context — who uses it, on what device, in what mood.
- Existing equity — logo, locked colors, fonts already in use.
- Anti-references — what it must NOT look like.
Defaults & house rules
Unless the brand explicitly overrides:
- No purple anywhere in the palette.
- No emoji in UI — use an icon set (Lucide / Heroicons) and specify it as a token.
- Lean toward warm / earth tones (sand, terracotta, clay) and consider a dark surface option.
- Motion is part of the system, not an afterthought.
Step 2 — Build the tokens
Design each layer deliberately and document the why:
- Color — a real ramp (50–900) per hue, semantic tokens (
surface,text,muted,accent,border,success/warn/danger), and verified contrast (WCAG AA min for body text). Include a dark mode set. No arbitrary hexes scattered later — everything maps to a token. - Type — a font pairing with rationale, a modular scale (not random px), line-heights and tracking per size, and weights. Prefer characterful, legible pairings over the default system stack that screams "AI made this."
- Space & layout — a spacing scale, container widths, grid, breakpoints. Generous, asymmetric whitespace reads premium; cramped uniform padding reads generated.
- Radius / border / elevation — a small, consistent set. Shadows that match the brand's weight (soft for warm brands, crisp for technical ones).
- Motion — duration + easing tokens, named patterns (entrance, emphasis, transition), and a reduced-motion stance. This is what makes it feel alive.
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 · 61 lines · 91 tokens per session scan A 2eea8180c0f1
claude-design-system-architect is a skill published in the GitHub repository OneWave-AI/claude-skills (291 stars, last pushed 1mo ago), licensed MIT. It adds 91 tokens to every session and 992 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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