No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by JangHyun-bin · Agent Tool · ★ 72
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is korean-report-skills safe to install? View the security audit →
korean-report-skills 왜 Claude가 만든 한국어 문서는 어딘가 이상할까 내용은 맞는데 문서로 전달하기가 망설여지는 경험. 그 이유를 다섯 가지로 나누고 각각을 규약으로 구성한 스킬셋입니다. Claude Code · Codex · Cursor 에 적용 가능합니다. → 설치 paper(세로·보고서) · deck(가로·협의자료) — HTML 파일 하나로 구성됩니다. "디자인이 별로예요" 마크다운을 워드에 붙이면 볼품없고, HTML로 제작 할 경우 매번 일관되지 않은 디자인과 구성으로 표현합니다. 제목 크기도, 표 모양도, 여백도 그때그때 달라집니다. → 디자인 시스템을 고정했습니다. 액센트 색 하나, 그림자 없음, 표에 세로 괘선 없음. paper(세로·보고서)와 deck(가로·협의자료) 두 모드뿐이고 섞을 수 없습니다. 같은 요청에 같은 결과가 나옵니다. 전 — 그냥 만들었을 때 후 — 스킬 적용 "문장이 번역체 같아요" 와 가 한 문서에 섞이고, · 같은 번역투가 남습니다. 읽는 사람에게 초안처럼 보입니다. → 치환 목록 115건과 어미 규약. 평서체와 합니다체를 섞지 않고, 필요하면 문서와 커버레터를 분리합니다. 규약 적
| Stars | 72 |
| Forks | 10 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 64.1910666648274/100 |
| Last Updated | 2026-09-04 |
| Created | 2026-08-10 |
| Platforms | claude-code, python |
| Est. Tokens | ~14k |
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korean-report-skills is Claude가 만든 한국어 문서가 어딘가 이상할 때 — 문장 표현과 디자인을 보완하는 Agent Skills. It is categorized as a Agent Tool with 72 GitHub stars.
korean-report-skills is primarily written in Python. It covers topics such as agent-skills, claude-code, html-to-pdf.
You can find installation instructions and usage details in the korean-report-skills GitHub repository at github.com/JangHyun-bin/korean-report-skills. The project has 72 stars and 10 forks, indicating an active community.
korean-report-skills is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to korean-report-skills on Agent Skills Hub include patina, moai-cowork, cowork-plugins. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: