SEED is a design system that provides shared visual tokens, styling recipes, and UI components for React, iOS, Android, and Lynx, with Figma integration. It is used to build consistent products across platforms; the catalogue add-ons support agents working with its components, tools, documentation, and development workflows.
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.
git clone --depth 1 https://github.com/daangn/seed-designWrote 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/commands/daangn/seed-design/seed-component)<a href="https://agentmods.dev/commands/daangn/seed-design/seed-component"><img src="https://agentmods.dev/badge/commands/daangn/seed-design/seed-component/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/commands/daangn/seed-design/seed-component"><img src="https://agentmods.dev/badge/commands/daangn/seed-design/seed-component.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 | $0.00012 | $0.00296 |
| Opus 5.5 | $0.00005 | $0.00118 |
| Sonnet 5.5 | $0.00002 | $0.00059 |
| Haiku 4.5 | $0.00001 | $0.00030 |
Grade A, and why
seed-component 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 1mo 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
컴포넌트 생성 흐름
seed-component Skill의「새 컴포넌트 또는 한 플랫폼이 없는 포팅」분기(references/implementation-workflow.md#신규포팅)로 SEED 컴포넌트를 처음부터 끝까지 구현한다.
인자
- $COMPONENT_ID: Rootage와 문서 경로에 쓸 kebab-case 컴포넌트 id
- $COMPONENT_NAME: PascalCase 컴포넌트 이름
- $WITH_HEADLESS: 선택.
true|false, 기본값false.true면packages/react-headless/<id>/도 만든다.
필수 결과
- Rootage 명세, Recipe, React 구현, 문서, 예제를
references/implementation-steps.md의 순서대로 갱신한다. - 원천을 바꾼 뒤 루트
AGENTS.md「생성」의 해당 명령을 실행한다. Rootage 변경이면bun rootage:generate && bun qvism:generate다. - 루트
AGENTS.md「검증」의 경로별 테스트,bun packages:build, 시각 검증 결과를 보고한다.
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.
- 1mo ago First seen · 21 lines · 12 tokens per session scan A 2f4c64160d1f
seed-component is a command published in the GitHub repository daangn/seed-design (1,181 stars, last pushed today), licensed Apache-2.0. It adds 12 tokens to every session and 296 once invoked, about $0.0000 per session on Opus 5.5. 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 2026-09-23.
Other commands, from other repositories
gen-video
Generate video output in one of three modes: Remotion (programmatic React-based video), Gen-AI (shot prompt pack for Runway/Kling/Sora/Pika/Luma), or Remotion+Gen-AI (programmatic scaffold with AI footage embedded).
verify
Fidelity check — rebuild a page from the extracted tokens, pixel-diff it against the live site, and score how faithfully the tokens capture the design.
design-tutorial
Interactive guided tour of Naksha — learn commands through real exercises, discover workflows, and get oriented in under 10 minutes.
ux-audit
Audit a Figma file against a design brief — checks page structure, frame naming, sizes, styles, components, and content compliance.
critique-screen
Run all seven visual critiques on a screen and output a prioritised fix list.
design-onboarding
Design a first-run experience end to end — activation path, progressive disclosure, and time to first value.