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 JangHyun-bin/korean-report-skills --skill korean-report-docgit clone --depth 1 https://github.com/JangHyun-bin/korean-report-skillsWrote 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/janghyun-bin/korean-report-skills/korean-report-doc)<a href="https://agentmods.dev/skills/janghyun-bin/korean-report-skills/korean-report-doc"><img src="https://agentmods.dev/badge/skills/janghyun-bin/korean-report-skills/korean-report-doc/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/janghyun-bin/korean-report-skills/korean-report-doc"><img src="https://agentmods.dev/badge/skills/janghyun-bin/korean-report-skills/korean-report-doc.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 | $0.00170 | $0.03948 |
| Opus 5.5 | $0.00068 | $0.01579 |
| Sonnet 5.5 | $0.00034 | $0.00790 |
| Haiku 4.5 | $0.00017 | $0.00395 |
Grade A, and why
korean-report-doc 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 7d 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 — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.
한국어 기술 문서 제작
한국어 기술·사업 문서를 자립형 HTML로 제작하고 필요하면 PDF로 출력한다.
- 값은
assets/css/tokens.css한 곳에 있고, 공통 CSS 와 모드별 CSS 는 그 token 만 참조한다. - 수치·표·도해는 제공된 데이터에서 프로그램으로 생성한다.
- HTML은 실행 시점에 외부 자원을 요청하지 않는다.
- 본문 글꼴은 동봉한 Pretendard 공식 subset 을 기본으로 내장한다.
--font는 교체할 때만 쓴다.
문장 규약은 korean-report-style 스킬이 담당한다. 이 스킬의 범위는 제작에 한정한다.
1. 시작 전 결정
1.1 모드
| paper | deck | |
|---|---|---|
| 용도 | 분석 · 벤치마크 · 기술보고 · 진행현황 | 회의 · 아젠다 · 의사결정 요청 |
| 방향 | 세로 | 가로 |
| 페이지 | 연속 흐름 | 1 섹션 = 1 페이지 |
| 본문 폭 | 720px | 1120px |
| 밀도 | 산문 전체 | 한 페이지에 한 가지 |
| 템플릿 | assets/paper_template.html |
assets/deck_template.html |
| 본문 구조 | <div class="doc"> 안의 <section> |
<section class="tile ..."> 나열 |
이 문서에서 layout은 페이지와 요소의 배치를, typesetting은 CSS·글꼴·수식을
반영해 최종 HTML을 생성하는 처리 단계를 뜻한다.
섞지 않는다. 문단이 긴 deck 은 deck의 layout이 어긋난 보고서로 읽히고,
타일 배경을 쓴 paper 는 슬라이드를 잘못 인쇄한 것으로 읽힌다.
1.2 산출물 필요 여부
문서 산출물을 요청받았을 때만 작성한다. 설명·요약·분석은 대화로 답한다.
보고서 만들어줘 · PDF로 뽑아줘 · 문서로 정리해줘 가 신호다.
검수 요청은 Markdown 을 유지한다. 기존 Markdown 문서의 검수 · 점검 · 리뷰 요청은
HTML·PDF 산출물 요청이 아니다. 원본 .md 를 유지하고, HTML·PDF 를 명시적으로 요청받은
경우에만 typesetting 을 수행한다. 검수에서는 Markdown 에 적용되는 검사만 수행하고 결과를 보고한다.
korean-report-style의lint.py— 문체 · 서식- §4.1 의 번호 항목 — 그림 · 표 · 절 번호의 연속성과 본문 참조의 실재
수정을 요청받으면 .md 원본에 반영한다. 렌더 QA(§4)는 HTML 산출물이 있을 때만 해당한다.
1.3 실행 환경
- HTML 빌드에는 Node 20 이상이 필요하다. KaTeX 는 수식 마커(
⟦I⟧·⟦D⟧)가 있는 문서에만 필요하며,mathbuild.js는 작업 디렉터리와 스킬 설치 경로에서 KaTeX를 순서대로 찾는다. - 렌더 QA, 스크린샷, PDF 출력에는 Python 3.11 이상, Playwright, Chromium이 필요하다.
Chromium 이 없으면
qa.py가 설치 명령을 한 줄로 알리고 exit 2 로 종료한다. - 본문 글꼴은
assets/fonts/에 동봉되어 있다. 다른 글꼴을 쓰려면 사용 권한이 있는 WOFF2 파일을 준비한다.
2. 빌드 파이프라인
데이터 ──▶ 생성기(Python) ──▶ raw HTML (수식 마커 + 치환 토큰)
│
▼
후처리(Node + KaTeX) — mathbuild.js
· ⟦I⟧ / ⟦D⟧ 렌더
· tokens.css + base.css + 모드 CSS 삽입
· 본문 글꼴(동봉 또는 --font) · KaTeX woff2 base64 내장
│
▼
단일 .html ──▶ headless print ──▶ .pdf
What ships with it
16 files 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.
- assets/css/base.css 13 KB
- assets/css/deck.css 2.7 KB
- assets/css/paper.css 2.7 KB
- assets/css/tokens.css 4.3 KB
- assets/deck_template.html 1.2 KB
- assets/figures.py 25 KB runs code
- assets/fonts/LICENSE.txt 4.3 KB
- assets/fonts/Pretendard-Light.subset.woff2 261 KB
- assets/fonts/Pretendard-Regular.subset.woff2 261 KB
- assets/fonts/Pretendard-SemiBold.subset.woff2 262 KB
- assets/fonts/subset_glyphs.txt 11 KB
- assets/mathbuild.js 12 KB runs code
- assets/paper_template.html 521 B
- assets/qa.py 12 KB runs code
- references/design.md 31 KB
- references/figures.md 11 KB
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.
- 7d ago Changed · +25 lines · +32 tokens per session 3ed6f14e240f
- 1mo ago Changed · +3 lines · +3 tokens per session fa6d2a25643b
- 1mo ago First seen · 249 lines · 135 tokens per session scan A 5c6059d29e22
korean-report-doc is a skill published in the GitHub repository JangHyun-bin/korean-report-skills (76 stars, last pushed 7d ago), licensed Apache-2.0. It adds 170 tokens to every session and 3,948 once invoked, about $0.0007 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 2026-08-30.
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