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-kr-writer/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-kr-writer)<a href="https://agentmods.dev/skills/kwakseongjae/oh-my-design/omd-kr-writer"><img src="https://agentmods.dev/badge/skills/kwakseongjae/oh-my-design/omd-kr-writer/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-kr-writer"><img src="https://agentmods.dev/badge/skills/kwakseongjae/oh-my-design/omd-kr-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00144 | $0.05709 |
| Opus 5 | $0.00072 | $0.02854 |
| Sonnet 5 | $0.00029 | $0.01142 |
| Haiku 4.5 | $0.00014 | $0.00571 |
Grade A, and why
omd:kr-writer 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 13d 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 — 302 lines — stays where its author put it; the contents beside it link to each section on GitHub.
omd:kr-writer
oh-my-design의 한국어 본문 작성 스킬. preset_id 인자로 6개 voice 중 선택.
0. preset_id 인자
호출 envelope:
agent: omd-kr-writer
inputs:
preset_id: toss-tech-design # 또는 아래 6개
task: "당근 디자인 분석 글 작성"
...
지원 preset 12개. 각 preset의 핵심 spec은 아래 §9 (preset 요약 spec) 에 self-contained로 수록 — 이 SKILL.md만으로 12개 preset 전부 실행 가능. (풀 9-field spec + verbatim 한국어 examples + 출처는 dev 레포의 data/research/2026-05-18-kr-style-presets.md — npx 배포본에는 미포함.)
| # | preset_id | 종결 | 분량 (한글) | 용도 |
|---|---|---|---|---|
| 1 | toss-tech-design ⭐ (default) |
해요체 -요 | 5,500~7,000자 | omd 블로그 본문, 디자인 deep-dive |
| 2 | karrot-neighborly |
해요체 + 동네 lexicon | 3,000~5,000자 | 마케팅, 커뮤니티 글 |
| 3 | brunch-maker-popular |
해요체 80% + 회상 -했다 |
4,000~6,000자 | 회고, 포스트모템, 메이커 에세이 |
| 4 | naver-d2-engineering |
해요체 + 격식 mix | 자유 | 엔지니어링 분석 글 |
| 5 | biz-formal-report |
하십시오체 -습니다 | 자유 | 보고서·기획서·BRD |
| 6 | academic-paper |
해라체 -한다/-이다 |
자유 | 학술 논문, 연구 노트 |
| 7 | journalism-broadsheet |
해라체 -다/-했다 |
자유 | 보도자료, 신문기사 |
| 8 | kakao-warm-product |
해요체 + 감정 표현 | 자유 | 카카오톡·카카오뱅크 in-app copy |
| 9 | line-global-saas |
해요체 + 다국어 친화 | 자유 | 한일 brand voice, 글로벌 SaaS |
| 10 | academic-lecture-essay |
해요체 + 학술 lexicon | 자유 | 교양 강연, 지식 에세이 |
| 11 | emotional-brand |
해요체 + 외래어 자유 | 자유 | 무신사·29CM 패션 커머스 |
| 12 | legal-disclosure |
하십시오체 + 한자어 | 자유 | 법무·약관·고지사항 |
호출 시 preset 미지정 → toss-tech-design 적용.
본 문서의 § 1~8은 default preset (toss-tech-design)의 상세 spec. 다른 preset 선택 시 §9의 해당 preset 요약 spec 룰로 substitution.
전환 매트릭스 (자주 쓰는 6개)
같은 콘텐츠를 다른 preset으로 옮길 때 standard rewrite 룰 — 아래 핵심 변환 + §9 spec만으로 수행 가능. (확장 5-step rule은 dev 레포 research doc §14 — 배포본 미포함.)
| from | to | 핵심 변환 |
|---|---|---|
biz-formal-report |
toss-tech-design |
-합니다→-해요 · 한자어 풀이 · 50자+ 문장 쪼개기 · 3인칭→1인칭 |
toss-tech-design |
biz-formal-report |
-요→-니다 · 인사 제거 · 섹션 번호 (1.1) · 한자어 회복 |
academic-paper |
toss-tech-design |
-한다→-해요 · 우리는→저는 · 인용 형식 인라인 |
karrot-neighborly |
toss-tech-design |
"동네" lexicon 제거 · 분석 voice 강화 · 5,500자+ |
journalism-broadsheet |
toss-tech-design |
-다→-요 · OOO 대표 said → 직접 quote · narrative 1인칭 |
legal-disclosure |
kakao-warm-product |
한자어 → 우리말 · 수동 → 능동 · 친근 어휘 보강 |
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.
- 13d ago First seen · 302 lines · 144 tokens per session scan A 6668110d9d6c
omd:kr-writer is a skill published in the GitHub repository kwakseongjae/oh-my-design (500 stars, last pushed 5d ago), licensed MIT. It adds 144 tokens to every session and 5,709 once invoked, about $0.0007 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.
Other skills, from other repositories
dembrandt
A TypeScript command-line tool that renders a web page with Playwright and examines its actual styles. It turns colours, typography, spacing, borders, shadows, animation curves, components, and breakpoints into structured design tokens.
extract-design
Extract the full design language from any website URL. Produces 8 output files including AI-optimized markdown, visual HTML preview, Tailwind config, React theme, shadcn/ui theme, Figma variables, W3C design tokens, and CSS variables. Also runs WCAG accessibility scoring. Use when user says 'extract design', 'get…
designlang-tokens
Use when styling UI for cal.com — references the extracted design system tokens instead of inventing colors, spacing, or typography.
intake
The guided walkthrough for a codebase that has just installed montology (or has never written its vocabulary down) — phased questions served to the people who own the code as a clean one-question-at-a-time form in their browser (a local HTML file, no hosted service), answers returned to the agent on disk, each round…
brandmd
Extract a website's design system into a DESIGN.md file. Use when starting a new frontend project, rebuilding a site, or when the user wants AI-generated UI to match an existing brand.
montology
A repo's vocabulary as a database, enforced against the code by a tree-sitter scan — in every language it declares (Python, TypeScript/JS, Go, Rust, Swift, Java, Ruby, Elixir, C/C++, and more). Use BEFORE naming anything in code — a class, struct, function, type, module, table, column, endpoint, event, env var, CLI…