A setup guide for StyleSeed, a system that defines how visual interfaces should be designed and checked. It selects the output format, product area, page type, brand settings, color rules, and optional visual style before creating the first screen.

Use it to start a new interface project, choose its visual grammar and brand tokens, and scaffold a first screen. It currently creates React and Tailwind v4 components, while other stacks use the selected rules without that scaffold.

It turns vague design choices into a defined set of project rules. This helps keep later screens consistent and avoids choosing a brand style when the real need is a design method.

ss-setup — Skill by bitjaru

Install

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.

agentmods

npx agentmods add skills/bitjaru/styleseed/ss-setup

Any agent

npx skills add bitjaru/styleseed --skill ss-setup

Clone the repo

git clone --depth 1 https://github.com/bitjaru/styleseed

Made for: Claude Code, Codex.

Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,476 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00040	$0.01476
Opus 5	$0.00020	$0.00738
Sonnet 5	$0.00008	$0.00295
Haiku 4.5	$0.00004	$0.00148

Measured 2d ago against content hash fd25cbebb6d3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ss-setup 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.

engine/.claude/skills/ss-setup/SKILL.md · 155 lines

How it starts

The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.

StyleSeed setup

StyleSeed setup chooses a design method for the result, not a favorite brand to imitate. Use /ss-resolve --list (Claude Code) or $ss-resolve --list (Codex) to inspect the supported grammar, adapter, domain, page, recipe, palette, and profile IDs without loading the full handbook.

When not to use

Project already has a valid STYLESEED.md → use /ss-update.
User supplied references that are not represented by a built-in grammar → run /ss-reference before setup, then select the compiled grammar.
One component inside an established system → /ss-component.

The method, review, and reference compiler are framework-agnostic. The bundled component scaffold currently targets React and Tailwind v4; on another stack configure the lock and apply the method without pretending the scaffold is portable.

Wizard — one decision at a time

1. Product job and surface

Ask what is being built, who uses it, and whether it is a mobile/desktop product, website, social carousel, slide deck, document/report, or single-frame graphic. Select a surface adapter from ADAPTERS.md, then infer domain and page/artifact type.

2. Output grammar

Recommend exactly one grammar from RULESETS.md and explain the job match in one sentence:

consumer-service
operations-console
technical-instrument
editorial-reading
commerce-conversion
institutional-service
expressive-marketing
sequential-story
reference:<slug> when /ss-reference already compiled one

Do not recommend Toss as the universal default. It is one reference family for consumer-service. If none fits and the user has references, route to /ss-reference.

3. Page type and domain bias

Confirm the concrete page (dashboard, form, landing, detail, list, settings, onboarding) and read its domain × page intersection. This controls composition; the aesthetic profile does not.

4. Brand recipe

Recommend one morphology from BRAND-RECIPES.md. Use auto when the maintained grammar mapping fits. Use an explicit recipe when the product needs a different geometry, containment, navigation, control, or collection language. A recipe is not a company clone and does not select colors.

Read the full file on GitHub · 155 lines

Changes

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 First seen · 155 lines · 40 tokens per session scan A fd25cbebb6d3

Subscribe to this mod's changes

ss-setup is a skill published in the GitHub repository bitjaru/styleseed (928 stars, last pushed 7d ago), licensed MIT. It adds 40 tokens to every session and 1,476 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 2026-08-30.

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