im-not-ai
Reduces detection risk and reputational damage by masking AI-generated Korean content as human-authored work.
AI가 쓴 한글을 사람 글처럼 윤문하는 Claude 스킬 — Korean AI-text humanizer: detects and rewrites translationese, mechanical parallelism, and 71 other AI tells
- Ask Claude to refine Korean documentation so it reads like human writing, not machine translation.
- Generate natural-sounding Korean content by detecting and removing AI writing patterns from tech specs.
- Find awkward phrasing in Korean code comments and rewrite them as native speakers would write.
Reduces detection risk and reputational damage by masking AI-generated Korean content as human-authored work. Addresses compliance and authenticity concerns in regulated markets where AI disclosure is required or costly.
Korean-language content teams and enterprises managing multilingual AI output where human authorship appearance is commercially or legally critical.
https://github.com/epoko77-ai/im-not-ai
By epoko77-ai
How to Get It
claude plugins install epoko77-ai/im-not-ai
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Refine Korean documentation so it reads like human writing, not machine translation
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 4,789 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 4,789 GitHub stars; contributors unknown; last commit 0d ago; license MIT.