Individual skill
humanize-korean
Korean prose humanizer for Codex and Superloopy that rewrites Korean text so it sounds naturally human while preserving meaning, register, facts, protected tokens, and evidence. Use when the user asks to remove Korean AI tells, make Korean copy sound human, fix 번역투, remove ChatGPT/Claude/Gemini tone, polish Korean without changing meaning, or says "AI 티 없애줘", "AI 윤문", "번역투 고쳐", "사람이 쓴 것처럼", "humanize Korean", "한글 AI 티 제거", "글 자연스럽게 다듬어줘". Inspired by Korean AI-tell ideas from https://github.com/epoko77-ai/im-not-ai. Handles Korean rewriting only; not for translation, fact expansion, SEO rewriting, legal drafting, or generic proofreading.
plugins/beefiker/superloopy/skills/humanize-korean/SKILL.md
Source commit d780783eba4ecc7c8b9429f95c9362df95f07c61
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 4, 2026
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Repository context
- Repository stars (not skill ratings)
- 1,532
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-coding Repository topic
- awesome Repository topic
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- codex Repository topic
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SKILL.mdcore · 9,667 bytesSKILL.mdcore · 9,667 bytesSKILL.mdcore · 9,667 bytesSKILL.mdcore · 9,667 bytesSKILL.mdcore · 9,667 bytesSKILL.mdcore · 9,667 bytesagents/openai.yamlasset · 315 bytesreferences/golden-set.mddoc · 13,932 bytesreferences/quality-rubric.mddoc · 4,162 bytesreferences/quick-rules.mddoc · 21,112 bytesreferences/upstream-notice.mddoc · 3,364 bytesscripts/audit-humanize-output.mjsruns · 17,036 bytesscripts/calque-patterns.mjsruns · 7,349 bytes
Read excerpt
# 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.