Agent skill

Humanize Redo

by epoko77-ai in epoko77-ai/im-not-ai

가장 최근 윤문 결과를 2차로 다시 다듬는다 — 특정 카테고리·문단·강도 조정도 가능. An agent skill from epoko77-ai/im-not-ai.

MITAuto-check passedWriting & Content

Install Humanize Redo

skills CLI
$ npx skills add epoko77-ai/im-not-ai --skill humanize-redo -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install epoko77-ai/im-not-ai humanize-redo --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/epoko77-ai/im-not-ai.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/humanize-redo .claude/skills/humanize-redo && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
humanize-redo
GitHub stars
5.9k
Token cost
~326 tokens
SKILL.md length
143 words
Files
1
Skills in repo
7
Repo updated
First seen
Licence
MIT

At a glance

가장 최근 윤문 결과를 2차로 다시 다듬는다 — 특정 카테고리·문단·강도 조정도 가능. An agent skill from epoko77-ai/im-not-ai.

  • Works in 5 steps: Glob으로… → 사용자 지시 파싱 → korean-style-rewriter 재호출 입력: 기존… → …
  • Tasks that involve Humanizing AI text
  • SKILL.md covers 사용자 지시, 동작, 루프 한도 and 참고
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Humanize Redo is an agent skill from epoko77-ai/im-not-ai. 가장 최근 윤문 결과를 2차로 다시 다듬는다 — 특정 카테고리·문단·강도 조정도 가능. humanize-korean strict 윤문(Phase B)을 기존 runid에 재실행해 잔존 finding을 처리한다. 트리거 — "/humanize-redo".

Its SKILL.md is about 330 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Writing & Content, covering Humanizing AI text. The repository describes itself as: AI가 쓴 한글을 사람 글처럼 윤문하는 Claude 스킬 — Korean AI-text humanizer: detects and rewrites translationese, mechanical parallelism, and 71 other AI tells. The licence is MIT.

When your agent uses it

  • Tasks that involve Humanizing AI text

Example prompts

  • “/humanize-redo”
  • “/humanize-redo”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Glob으로 _workspace/YYYY-MM-DD-*/final.md(또는 01_input.txt)를 매칭해 최신 run_id 식별. 없으면 "이전 실행이 없습니다. /humanize로 시작하세요" 안내 후 종료.
  2. 사용자 지시 파싱
  3. korean-style-rewriter 재호출 입력: 기존 02_detection.json 또는 05_naturalness_review.json의 잔존 finding + 사용자 지시를 target_filter로 전달.
  4. 산출물은 03_rewrite_v2.md(또는 v3)로 버전 분리. 이전 final.md는 final_prev.md로 백업.
  5. strict Phase C 병렬 검증 → Phase D 최종 출력(변경 비교 표 + 신규 등급).

What it can do on your machine

Read from SKILL.md and the folder at commit 2f3d943. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Humanize Redo loads about 326 tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 143 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~39
When it runs · the whole SKILL.md, loaded when a task matches
~326

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from epoko77-ai/im-not-ai at commit 2f3d943, republished under its MIT licence (© epoko77-ai). 143 words, ~326 tokens.

Download SKILL.mdSave it as .claude/skills/humanize-redo/SKILL.md (or your agent's skills folder).
name
humanize-redo
description
가장 최근 윤문 결과를 2차로 다시 다듬는다 — 특정 카테고리·문단·강도 조정도 가능. humanize-korean strict 윤문(Phase B)을 기존 run_id에 재실행해 잔존 finding을 처리한다. 트리거 — "/humanize-redo".
argument-hint
[조정 지시 — 예: "번역투만 다시" "이 문단만" "강도 낮춰"]
disable-model-invocation
true

/humanize-redo — 2차 윤문 / 부분 재실행

cwd 기준 가장 최근 _workspace/{run_id}/를 찾아 humanize-korean 스킬의 strict 윤문(Phase B)부터 재호출한다.

사용자 지시

$ARGUMENTS

동작

  1. Glob으로 _workspace/YYYY-MM-DD-*/final.md(또는 01_input.txt)를 매칭해 최신 run_id 식별. 없으면 "이전 실행이 없습니다. /humanize로 시작하세요" 안내 후 종료.
  2. 사용자 지시 파싱:
    • 카테고리 지정("번역투만", "관용구만", "이모지만") → 해당 카테고리 finding만 재윤문
    • 문단 지정("이 문단만", "두 번째 문단만") → 해당 범위 finding만
    • 강도 조정("강도 낮춰"·"보수적으로" → S1만, "강도 높여" → S1+S2+S3)
    • 롤백 요청("이 변경 되돌려줘") → 해당 edit을 content-fidelity-auditor 롤백으로 처리
    • 지시 없음·"2차 윤문해줘" → 잔존 finding 전체 대상 round 2
  3. korean-style-rewriter 재호출 입력: 기존 02_detection.json 또는 05_naturalness_review.json의 잔존 finding + 사용자 지시를 target_filter로 전달.
  4. 산출물은 03_rewrite_v2.md(또는 v3)로 버전 분리. 이전 final.md는 final_prev.md로 백업.
  5. strict Phase C 병렬 검증 → Phase D 최종 출력(변경 비교 표 + 신규 등급).

루프 한도

최대 round 3. 그 이상 미해결이면 hold_and_report로 사람 검토 권고.

참고

  • 풀 파이프라인 신규 실행은 /humanize.
  • 분류 체계: humanize-korean/references/ai-tell-taxonomy.md

© epoko77-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/humanize-redo of epoko77-ai/im-not-ai.

Open the folder on GitHubat commit 2f3d943

Compare with similar skills

Humanize Redo next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Humanize Redo compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Humanize Redo this skillepoko77-ai/im-not-ai5.9k—~326Automated safety check: PassMIT
HumanizerAzure-Samples/interview-coach-agent-framework17338 repos~5.8kAutomated safety check: PassMIT
Avoid AI Writingconorbronsdon/avoid-ai-writing4.9k3 repos~8.1kAutomated safety check: PassMIT
User-Facing Text Cleanupguillaumemeyer/watermarks-remover24k—~3.5kAutomated safety check: PassMIT
Install Anti Sloptrycompai/crm11k1 repos~881Automated safety check: PassMIT
Stop SlopXe/site7328 repos~423Automated safety check: PassMIT

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Questions about Humanize Redo

What does Humanize Redo do?

가장 최근 윤문 결과를 2차로 다시 다듬는다 — 특정 카테고리·문단·강도 조정도 가능. An agent skill from epoko77-ai/im-not-ai. Humanize Redo is an agent skill from epoko77-ai/im-not-ai. 가장 최근 윤문 결과를 2차로 다시 다듬는다 — 특정 카테고리·문단·강도 조정도 가능.

When should I use Humanize Redo?

Humanize Redo fits situations like: tasks that involve Humanizing AI text.

How do I install Humanize Redo in Claude Code?

Run `npx skills add epoko77-ai/im-not-ai --skill humanize-redo -a claude-code`. Or copy the skill folder (skills/humanize-redo in epoko77-ai/im-not-ai) into .claude/skills/humanize-redo in your project. Claude Code loads it when a task matches its description.

How do I install Humanize Redo in Codex?

Run `npx skills add epoko77-ai/im-not-ai --skill humanize-redo -a codex`. Or copy the skill folder (skills/humanize-redo in epoko77-ai/im-not-ai) into .agents/skills/humanize-redo in your project. Codex loads it when a task matches its description.

Can I use Humanize Redo in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add epoko77-ai/im-not-ai --skill humanize-redo -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/humanize-redo, .gemini/skills/humanize-redo, .github/skills/humanize-redo and .opencode/skills/humanize-redo in your project.

What does Humanize Redo need to run?

SKILL.md names no scripts, command-line tools or credentials: Humanize Redo is instructions for the agent only.

Does Humanize Redo access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Humanize Redo safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Humanize Redo use?

Humanize Redo is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Humanize Redo use?

About 326 tokens (SKILL.md is roughly 1.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Humanize Redo?

Skills that share tags, products or a category with Humanize Redo: Humanizer (Azure-Samples/interview-coach-agent-framework, 173 stars), Avoid AI Writing (conorbronsdon/avoid-ai-writing, 4.9k stars), User-Facing Text Cleanup (guillaumemeyer/watermarks-remover, 24k stars) and Install Anti Slop (trycompai/crm, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Humanize Redo?

epoko77-ai (a GitHub user) maintains it in epoko77-ai/im-not-ai, which has 5,909 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on September 26, 2026.

Source: epoko77-ai/im-not-ai on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.