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 m-binimran/design-pack --skill brand-kitgit clone --depth 1 https://github.com/m-binimran/design-packWrote 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/m-binimran/design-pack/brand-kit)<a href="https://agentmods.dev/skills/m-binimran/design-pack/brand-kit"><img src="https://agentmods.dev/badge/skills/m-binimran/design-pack/brand-kit.svg" alt="Measured on agentmods" 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 | $0.00047 | $0.00294 |
| Opus 5 | $0.00023 | $0.00147 |
| Sonnet 5 | $0.00009 | $0.00059 |
| Haiku 4.5 | $0.00005 | $0.00029 |
Grade A, and why
brand-kit 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 7d 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
brand-kit
The single reference every asset is built from. Get the real values, don't guess.
Process
- Pull what exists via Brand.dev (logos, colours, industry by domain) and/or the client's Figma/files. Use real hex values, not approximations.
- Assemble the kit (
templates/BRAND-KIT.md):- Logo: versions (full/mark/mono), minimum size, clear space, misuse don'ts.
- Colour: primary/secondary/neutrals with hex + usage; check contrast for text pairs.
- Type: display + body pairing, weights, sizes, web/print licenses.
- Spacing/grid, iconography style, photography/illustration direction, voice.
- Tokenize the colours/type/spacing (hand to
design-tokens).
Output
- A complete brand kit doc + tokens, with logo files referenced and licenses recorded.
Guardrails
- Real values from Brand.dev / the client, not invented hex codes.
- Record font and asset licenses (the
license-guardhook). Flag any contrast-failing colour pairs.
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.
- 7d ago First seen · 26 lines · 47 tokens per session scan A b20d3b684f73
brand-kit is a skill published in the GitHub repository m-binimran/design-pack (3 stars, last pushed 2mo ago), licensed MIT. It adds 47 tokens to every session and 294 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 2026-08-31.
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