humanize-korean

Humanize Korean

SUPERLOOPY HUMANIZE KOREAN ENABLED

What This Skill Is

Use this skill as a Korean prose post-editor: it takes already-written Korean text and removes AI-like rhythm, translationese, repetitive endings, formulaic transitions, and over-polished phrasing without changing the underlying message.

Shout out to https://github.com/epoko77-ai/im-not-ai for the Korean AI-tell inspiration. This Superloopy version keeps the workflow local, adds protected-span preservation, file-backed audits, and Superloopy evidence receipts.

Comparison Examples

Use these as calibration examples for the amount of change this skill should make. The Before side is intentionally more AI-like so the repair shape is obvious: remove stock transitions, translationese, inflated significance claims, and ~인 것입니다-style endings while preserving product names and facts.

Before	After
결론적으로, Fileloom은 무료로 사용할 수 있는 파일 뷰어 앱이라고 할 수 있습니다.	Fileloom은 무료로 사용할 수 있는 파일 뷰어 앱입니다.
이 앱은 PDF, EPUB, DOCX, PPTX, HWP, ZIP 등 다양한 파일 포맷을 열 수 있다는 점에서 주목할 만합니다.	이 앱은 PDF, EPUB, DOCX, PPTX, HWP, ZIP 등 다양한 파일 포맷을 열 수 있습니다.
또한 광고 없이 제공되기 때문에 사용자는 파일을 확인하는 과정에 있어 방해 요소 없이 문서를 읽을 수 있는 것입니다.	광고 없이 제공되기 때문에 사용자는 파일을 확인하는 과정에서 방해 요소 없이 문서를 읽을 수 있습니다.
따라서 Superloopy는 Codex 작업을 수행함에 있어 안정성을 높여주는 도구라고 할 수 있습니다.	Superloopy는 Codex 작업의 안정성을 높여주는 도구입니다.
이는 계획, 검증, 증거 기록을 통해 작업의 진행 상황을 관리할 수 있다는 점에서 매우 중요한 의미를 가지고 있습니다.	계획, 검증, 증거 기록으로 작업 진행 상황을 관리할 수 있습니다.

These examples scored audit grade A with protected tokens preserved and a 29.43% change rate. Do not copy their product claims into unrelated text; use them only as a rewrite-shape reference.

Contract

• Rewrite only Korean text.
• Preserve meaning, claims, facts, numbers, dates, URLs, code, product names, model names, acronyms, and quoted spans.
• Preserve register: formal text stays formal, conversational text stays conversational, official text stays official.
• Prefer fewer, sharper edits over broad smoothing.
• Do not add examples, metaphors, facts, citations, or marketing claims that were not in the source.
• Load references/quick-rules.md before rewriting.
• Load references/quality-rubric.md before grading or finalizing.
• Use scripts/audit-humanize-output.mjs to validate any file-backed output.
• If adapting upstream rule text, respect references/upstream-notice.md.

Workflow

1. Identify source text from the prompt or from a .txt or .md path supplied by the user.
2. Refuse non-Korean source text with 한국어 텍스트만 처리할 수 있습니다.
3. Estimate genre as 공적, 리포트, 블로그, 칼럼, or 대화체; user-provided genre wins.
4. Mark protected spans before editing: numbers, dates, units, URLs, emails, code spans, quoted spans, English acronyms, product names, model names, and legal/article references.
5. Detect AI-tell patterns from references/quick-rules.md, prioritizing S1 then repeated S2.
6. Rewrite paragraph by paragraph in this order: protected spans unchanged, signature phrases, translationese, passive/hedging, structure/list rhythm, sentence endings, visual formatting.
7. Keep total character-change rate under 30% whenever possible; stop and report risk above 50%.
8. Write outputs:
   • Active Superloopy loop: .superloopy/evidence/humanize-korean/<run-id>/source.md, final.md, summary.md, audit.json.
   • No active loop: _workspace/humanize-korean/<run-id>/source.md, final.md, summary.md, audit.json.
9. Run node skills/humanize-korean/scripts/audit-humanize-output.mjs --source <source.md> --final <final.md> --report <audit.json>.
10. If audit fails, repair once. If it still fails, keep the safest version and report the failing audit reason.
11. Respond concisely with output path, change rate, grade, preserved-token status, and 3 to 5 before/after highlights. Do not paste the full rewritten body unless the user asks.

Superloopy Evidence

When a Superloopy loop is active, the final line of the completion note must include:

SUPERLOOPY_EVIDENCE: .superloopy/evidence/humanize-korean/<run-id>/audit.json