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 agentmods add skills/amondnet/yoonmoon/humanizenpx skills add amondnet/yoonmoon --skill humanizegit clone --depth 1 https://github.com/amondnet/yoonmoonWrote 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/amondnet/yoonmoon/humanize)<a href="https://agentmods.dev/skills/amondnet/yoonmoon/humanize"><img src="https://agentmods.dev/badge/skills/amondnet/yoonmoon/humanize.svg" alt="Measured on agentmods" 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 | $0.00294 | $0.02036 |
| Opus 5 | $0.00147 | $0.01018 |
| Sonnet 5 | $0.00059 | $0.00407 |
| Haiku 4.5 | $0.00029 | $0.00204 |
Grade A, and why
humanize 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 4d 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
윤문(humanize) — AI 한글 티 제거
references/ai-tell-taxonomy.md— 11대 카테고리 AI 티 분류(정의·예시·심각도·보존 주의). Phase 1에서 읽는다.references/rewriting-guide.md— 윤문 원칙·편집 순서·자체검증 7항·등급 기준. Phase 2~3에서 읽는다.references/examples.md— 장르별 before/after 예시. 윤문 톤이 모호할 때 참고한다.references/katfishnet-research.md— 심각도 판단의 학술 근거(KatFishNet, ACL 2025). 배경 근거가 필요할 때만.../translate-polish/references/translationese-research.md— 번역투·번역 보편소·post-editese의 학술 근거(한국 번역학·국어학, Baker·Toury, Toral 2019 등). 카테고리 1·2·6 배경 근거가 필요할 때만(번역투 본거지는 형제 스킬translate-polish).
- 의미 100% 보존: 고유명사·수치·인용·날짜·단위는 한 글자도 바꾸지 않는다. 주장 방향·인과·수량·강도도 그대로.
- 강도에 맞는 범위만 손댄다(보수=강만 / 기본=강+반복 중 / 적극=강+중 전반+구조·리듬).
- 변경이 본문의 50%를 넘을 것 같으면 과윤문 신호 → 보수적으로 되돌린다.
- AI 티를 없애려다 새로운 어색한 표현을 만들지 않는다.
- 덜어내되 의미를 미달시키지 않는다 — 문장 성분·필수 조사·어미·정도 부사를 지워 뜻이 흐려지면 되돌린다
(카테고리 11 ·
ai-tell-taxonomy.md의 '삭제 과교정 금지').
-
한 줄 상태 —
완료. 변경률 X% / 등급 Y / 자체검증 N/7 통과 -
윤문본 — 마크다운 코드블록 또는 인용으로 전체 제시. (사용자가 파일 저장을 원하면 저장)
-
카테고리별 탐지 표 — before/after 건수
카테고리 탐지 남김 1 번역투 5 0 … … … -
주요 변경 하이라이트 3~5건 —
원문 → 윤문형태로 대표 변경을 보여준다.
What ships with it
4 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.
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.
- 4d ago First seen · 105 lines · 294 tokens per session scan A 9931b492e9bf
humanize is a skill published in the GitHub repository amondnet/yoonmoon (12 stars, last pushed 13d ago), licensed MIT. It adds 294 tokens to every session and 2,036 once invoked, about $0.0015 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 2026-08-31.
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