Humanize KR is a command-line coding-agent skill that detects patterns making Korean text look machine-written and rewrites its style, rhythm, and wording while preserving the content. Korean-language writers use it to revise translation-like phrasing, repetitive structures, formulaic expressions, and other listed AI writing patterns. The catalogue includes its agents, skills, instructions, and plugin for supported coding-agent tools.
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 epoko77-ai/im-not-ai --skill humanizegit clone --depth 1 https://github.com/epoko77-ai/im-not-aiWrote 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/epoko77-ai/im-not-ai/humanize)<a href="https://agentmods.dev/skills/epoko77-ai/im-not-ai/humanize"><img src="https://agentmods.dev/badge/skills/epoko77-ai/im-not-ai/humanize/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/epoko77-ai/im-not-ai/humanize"><img src="https://agentmods.dev/badge/skills/epoko77-ai/im-not-ai/humanize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
- Socket warn
- Snyk 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 | $0.00078 | $0.00540 |
| Opus 5.5 | $0.00031 | $0.00216 |
| Sonnet 5.5 | $0.00016 | $0.00108 |
| Haiku 4.5 | $0.00008 | $0.00054 |
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 1mo 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
/humanize — 한글 AI 티 제거
humanize-korean 스킬을 발동해 인자로 전달된 한글 텍스트(또는 파일)에 윤문을 실행한다.
입력
$ARGUMENTS
동작
- 인자가 비면: "윤문할 텍스트를 붙여넣어 주세요" 안내 후 종료.
- 인자가 파일 경로(.txt/.md)면
Read로 본문 로드. - 인자가 텍스트면 그대로 입력으로 사용.
humanize-korean스킬 SKILL.md 절차(Phase 0 → 결과 전달)를 따른다 — 경로는 route_hint(light|standard|heavy)가 정하고,--strict시 heavy 고정.- 결과 전달:
- 한 줄 상태(변경률 / 등급 / 자체검증 통과)
- 윤문본 본문(마크다운 블록)
- 카테고리별 탐지 건수 before/after
- 주요 변경 하이라이트 3~5건
- 등급 B 이하면 "
/humanize-redo로 2차 윤문 가능" 안내
옵션 (인자 끝에 자연어로)
장르: 칼럼|리포트|블로그|공적— 장르 명시 (생략 시 첫 300자로 자동 추정)강도: 보수|기본|적극— 윤문 강도 (기본값: 기본)최소심각도: S1|S2|S3— 탐지 임계값 (기본값: S2)--strict— 정밀 3콜(진단→겨냥 윤문→finalize) 강제
참고
- 분류 체계:
humanize-korean/references/ai-tell-taxonomy.md - 윤문 처방:
humanize-korean/references/rewriting-playbook.md
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.
- 1mo ago Changed · +5 tokens per session be786276eb87
- 1mo ago First seen · 36 lines · 73 tokens per session scan A 098277d12814
humanize is a skill published in the GitHub repository epoko77-ai/im-not-ai (6,252 stars, last pushed 14d ago), licensed MIT. It adds 78 tokens to every session and 540 once invoked, about $0.0003 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.
Other skills, from other repositories
humanizer-ru
A Russian-language editing guide that makes text sound more natural and less like it was produced by an AI system.
humanizer-ru-local-edit-scope
Use when a user asks to edit Russian prose that sounds formulaic or machine-generated while preserving its meaning and authorial voice.
humanizer-ru-local-edit
Use when a user asks to edit Russian prose that sounds formulaic or machine-generated while preserving its meaning and authorial voice.
humanizer-zh-tw
A writing-editing skill for making Traditional Chinese text sound more like it was written by a person.
patina
Detect and rewrite AI writing patterns in Korean, English, Chinese, and Japanese text so it reads as if a human wrote it. Meaning-preservation (MPS) verified.
humanizer-ru
A Russian-language editing tool that checks text for signs it was generated by a machine and can rewrite it in a more natural style when asked.