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 teamniteo/hakuto --skill brand-designergit clone --depth 1 https://github.com/teamniteo/hakutoWrote 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/teamniteo/hakuto/brand-designer)<a href="https://agentmods.dev/skills/teamniteo/hakuto/brand-designer"><img src="https://agentmods.dev/badge/skills/teamniteo/hakuto/brand-designer/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/teamniteo/hakuto/brand-designer"><img src="https://agentmods.dev/badge/skills/teamniteo/hakuto/brand-designer.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 | $0.00119 | $0.01883 |
| Opus 5 | $0.00060 | $0.00941 |
| Sonnet 5 | $0.00024 | $0.00377 |
| Haiku 4.5 | $0.00012 | $0.00188 |
Grade A, and why
brand-designer 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 9d 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Designing Brand Colors
Generate custom brand color palettes using color theory (complementary, triadic, analogous schemes).
Workflow
1. Check Prerequisites
- Read
site-specification.mdfor the design direction (base language, dials) and existing colors. During a new-site build (website-builder Workflow A style preview), the spec may not exist yet — take the base language from the chosen direction instead.
2. Get Colors
Accept: hex codes, color names, descriptions, or logo analysis (identify 1-3 dominant colors). When invoked from website-builder's style preview with no user colors, take the seed from the direction's palette strategy instead — pick a concrete base hue matching its stated hue family and temperature, and vary that pick per project.
3. Generate Palette
Compute hue rotation directly in OKLCH — no external API. OKLCH is Tailwind v4's native color space, and rotating hue there preserves perceived lightness, so schemes come out balanced (HSL rotation makes yellows glare and blues muddy).
- Convert the base hex to OKLCH (
oklch(L C H)). - Rotate H by the scheme angle, keeping L and C:
- Complementary: +180°
- Triadic: ±120°
- Analogous: ±30° (spread to ±60° for a wider family)
- Split-complementary: 180° ± 30°
- Derive the neutral ramp from the dominant hue at very low chroma (C ≈ 0.005–0.02) so neutrals harmonize instead of reading as generic gray.
- Adjust L per role — backgrounds near the extremes (L ≥ 0.97 light / L ≤ 0.22 dark), text at the opposite end, accents in the vivid middle (L 0.55–0.75, C 0.15–0.25).
- Verify WCAG contrast (4.5:1 body text, 3:1 large text ≥18.66px or ≥14px bold) for every text/background pair; nudge L until it passes.
- Check the stock Tailwind neutrals the site will actually use, not only the generated tokens. Contrast failures overwhelmingly come from off-palette utilities reached for during page authoring —
text-slate-400is 2.56:1 on white and fails at every size, andtext-sky-600is 4.10:1, which passes only as large text. Both look fine in a mockup and both ship as body copy. For each neutral and accent utility the design intends for text, compute its ratio and record the verdict insite-specification.md:
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.
- 9d ago First seen · 116 lines · 119 tokens per session scan A b9d273ad5ea7
brand-designer is a skill published in the GitHub repository teamniteo/hakuto (5 stars, last pushed 8d ago), licensed MIT. It adds 119 tokens to every session and 1,883 once invoked, about $0.0006 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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