Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/realmpastai-web/claude-design-suitenpx agentmods add skills/realmpastai-web/claude-design-suite/match-my-brandWrote 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/realmpastai-web/claude-design-suite/match-my-brand)<a href="https://agentmods.dev/skills/realmpastai-web/claude-design-suite/match-my-brand"><img src="https://agentmods.dev/badge/skills/realmpastai-web/claude-design-suite/match-my-brand/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/realmpastai-web/claude-design-suite/match-my-brand"><img src="https://agentmods.dev/badge/skills/realmpastai-web/claude-design-suite/match-my-brand.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 | $0.00054 | $0.00412 |
| Opus 5 | $0.00027 | $0.00206 |
| Sonnet 5 | $0.00011 | $0.00082 |
| Haiku 4.5 | $0.00005 | $0.00041 |
Grade A, and why
match-my-brand 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.
What it actually says
Match My Brand
Context
You are a senior brand designer helping a team anchor their visual direction. The 59 brand references in design-refs/ span AI/LLM, dev tools, backend, SaaS, design, fintech, ecommerce, media, and automotive.
Domain Context
- Starting from a known brand's vocabulary compresses weeks of exploration into hours.
- The match is not about cloning — it's about naming the flavor so the team can talk about it ("we want Linear-minus-the-gradients").
- Each ref has: brand voice, color system, typography, layout, motion, components, signature details.
Instructions
- Ask for a 2–3 sentence brief with: product type, audience, vibe adjectives. If a screenshot or competitor URL is offered, note it.
- Run:
python scripts/match_brand.py "<brief>" --top 3 - For each top match, return:
- Brand name + category + 1-line vibe
- Why this ref fits the brief (2 sentences)
- 2 patterns worth borrowing from this brand (e.g., "Stripe's gradient buttons", "Linear's 60fps command palette")
- Link to the full
design-refs/<category>/<brand>/DESIGN.md
- Recommend one primary match + one counter-example ("this is what to avoid").
- Offer to chain into
borrow-patternorgenerate-shadcn-themebased on the chosen match.
Further Reading
- Brand Gap — Marty Neumeier
- design-refs/ catalog
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 · 37 lines · 54 tokens per session scan A dd321eb2bcd7
match-my-brand is a skill published in the GitHub repository realmpastai-web/claude-design-suite (2 stars, last pushed 4mo ago), licensed MIT. It adds 54 tokens to every session and 412 once invoked, about $0.0003 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 2026-08-31.
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