Borrowing it
Nothing to install: this file belongs to kwakseongjae/oh-my-design. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/kwakseongjae/oh-my-design/main/.claude/skills/omd-init/SKILL.mdgit clone --depth 1 https://github.com/kwakseongjae/oh-my-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/skills/kwakseongjae/oh-my-design/omd-init)<a href="https://agentmods.dev/skills/kwakseongjae/oh-my-design/omd-init"><img src="https://agentmods.dev/badge/skills/kwakseongjae/oh-my-design/omd-init/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/kwakseongjae/oh-my-design/omd-init"><img src="https://agentmods.dev/badge/skills/kwakseongjae/oh-my-design/omd-init.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Prompt Injection · line 5 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- medium Agent Snooping · line 397 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00118 | $0.06499 |
| Opus 5 | $0.00059 | $0.03249 |
| Sonnet 5 | $0.00024 | $0.01300 |
| Haiku 4.5 | $0.00012 | $0.00650 |
Grade A, and why
omd:init scanned grade A with 1 finding 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 11d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
6. `https://oh-my-design.kr/<id>/design.md` 를 fetch (WebFetch 또는 `curl -fsSL`) — 1~5 로컬 경로가 전부 없을 때. 200이면 응답 본문이 곧 reference DESIGN.md다. 가져온 내용은 **활성 채널의 첫 writable data dir** (`.codex/data`, `.claude/data`, `.opencode/ How it starts
The opening of the file, as written. The whole thing — 444 lines — stays where its author put it; the contents beside it link to each section on GitHub.
omd:init — DESIGN.md Bootstrap
프로젝트에 DESIGN.md + AI 코딩 에이전트용 shim 3종을 한 번에 세팅. 레퍼런스 톤&매너는 preserve하고, 사용자 프로젝트 맥락은 controlled-vocabulary delta_set으로만 반영.
레퍼런스 선택과 graph draft는 host agent 안에서 처리하지만, Core projection과
authority hash는 직접 만들지 않는다. 설치된 provider-free omd design-md
도구가 inspect/migrate/compile을 담당한다. omd init recommend, omd init prepare, omd sync 같은 별도 runtime subcommand는 제공하지 않는다.
전체 플로우
Phase 1: 사용자 맥락 파악 (1-2 질문)
Phase 2: 레퍼런스 추천 (fingerprint 기반 in-head 점수)
Phase 3: 사용자가 1개 선택
Phase 3.5: 적용 형태 확인 (루트 부트스트랩 / 참고용 저장 / 기존 파일 교체 여부)
Phase 4: 레퍼런스 DESIGN.md Read + delta_set 추출
Phase 4.5: 프로젝트 권위 입력 수집
Phase 5: Core v2 System Graph draft → canonical compiler → staged adopted package
Phase 6: Shim 3종 설치 (omd:sync skill 위임)
Phase 7: 요약 출력
Phase 1 — 맥락 파악
이미 충분한 description이 있으면 skip. 부족하면 최대 2개 질문:
- 프로젝트 유형/도메인 (SaaS / 랜딩 / 대시보드 / 이커머스 / 커뮤니티 등)
- 분위기 키워드 (warm, minimal, premium, playful, dense, airy 등)
한 번에 하나씩, 또는 통합해서 한 번에. 질문 쌓지 말 것.
Phase 2 — 레퍼런스 추천 (file-based, no CLI)
2.1 카탈로그 로드
다음 파일을 Read 툴로 전체 로드 (있는 순서대로 fallback):
.codex/data/reference-fingerprints.json(Codex 설치 카탈로그).claude/data/reference-fingerprints.json(Claude Code / Cursor 설치 카탈로그).opencode/data/reference-fingerprints.json(OpenCode 설치 카탈로그)node_modules/oh-my-design-cli/data/reference-fingerprints.json(npm 설치 직접 경로)data/reference-fingerprints.json(개발 환경)
스키마: { count, items: [{ id, primary_color_hex, category, visual_theme, voice_fingerprint, tone_keywords, antipatterns, signature_motion, has_personas, category_raw }] }.
추가 보조 파일 (있으면 같이 로드):
- 위에서 실제 선택된 data dir의
vocabulary.json— controlled vocab axes/keywords - 같은 data dir의
reference-tags.md— human-readable keyword matrix
필수 품질 파일:
- 같은 data dir의
reference-quality.json—verified_v2 | partial | legacy_snapshot
fingerprint는 있는데 품질 파일이 없거나 두 파일의 count/id 집합이 다르면 다른
채널 파일로 섞어 보완하지 않는다. omd install-skills를 다시 실행하고 omd doctor로
확인하라고 안내한 뒤 reference 추천을 중단한다.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 444 lines · 118 tokens per session scan A cc50a6759d91
omd:init is a skill published in the GitHub repository kwakseongjae/oh-my-design (498 stars, last pushed 4d ago), licensed MIT. It adds 118 tokens to every session and 6,499 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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