Humanize KR (im-not-ai) Claude skills

A Korean-language humanizer that detects and rewrites AI-sounding text (translationese, mechanical parallelism) while preserving facts, with deterministic gates.

Our verdict Recommended

A well-engineered, narrowly scoped Korean editor with route selection and verification scripts; useful only if you write Korean.

What Humanize KR (im-not-ai) does

Humanize KR rewrites Korean text that reads as machine-written without changing its facts, figures, names or quotes. It does not detect AI text for a score; it edits. The README classifies patterns into 10 categories and 85 sub-patterns graded by severity, such as English-style translationese, mechanical enumeration (first, second, third), stock closers like "it has significant implications", overused passives, sentence-initial conjunctions, and emoji or bullet overuse.

A Python script first scores the input and picks one of three routes: light (one model call for already good text), standard (diagnosis plus a targeted rewrite), or heavy (diagnosis, rewrite, then a finalizer that checks meaning preservation, used for very bad or very long text). A gate script then checks change rate (warning above 30%, stop above 50%), numbers and quoted text. Four rules are fixed: meaning unchanged, edits only on detected spans, genre kept, no over-editing. Pasted text is treated as data, not instructions.

The main skill is about 31 KB with 18 reference files and two metric scripts; Codex and Copilot versions are provided separately, along with a commit-ko skill that cleans up Korean commit messages. The README lists Claude Code, Codex, Copilot CLI and Gemini CLI, and says the Gemini extension uses a smaller, separate rulebook.

Good for

  • Editing Korean blog posts, reports and columns that read like ChatGPT output
  • Cleaning Korean commit messages
  • Writers who want a conservative rewrite with a change-rate guard

Not for

  • Text in other languages
  • Evading AI-detection tools or fabricating content

What's inside depth 4/5

Seven skills, the main one 31 KB with 18 reference files and metric scripts, plus Codex and Copilot variants and gate scripts, but no evals.

Skills
7
Reference docs
19
Scripts
6
Tests / evals
0
Templates
0
Avg SKILL.md
7.9 KB

Counted from the repository file tree. How we score depth.

Dependencies and costs

  • Python 3 for the scoring and gate scripts
  • Telemetry: The README mentions a voice_profile_log.json that records applied and rejected edits and trigger keywords; we saw no network upload in the files we read.

Security review

Review before installing

A Korean text-humanizing skill with local Python checkers. The installer creates symlinks in your Claude, Codex and Gemini skill and agent folders, and update.sh can pull new commits from the upstream git remote and re-run the installer when you run it. No network calls or credential access were found in the scripts.

Worth knowing

  • Changes files outside your projectSymlinks (or copies with --copy) the skills and four agent definitions into ~/.claude/skills, ~/.claude/agents and ~/.codex/skills, moves conflicting items to a backups folder only with --force, and prunes stale agent links that point into this repo.install.sh:173
  • Relies on a CLI or package we could not reviewIf the gemini CLI is present it runs echo Y | gemini extensions link <repo>, answering that CLI's confirmation prompt automatically; update.sh runs git fetch and git pull --ff-only on the checkout and re-runs install.sh when you invoke it.install.sh:231

What we checked

The repository (159 files) on Oct 29, 2026. Not a full review: we read 5 of 69 code files; it relies on code outside the repository: Not read in full: the Python scripts under scripts/, skills/humanize-korean/references/metrics*.py and the test suite (inspected by grep for network, subprocess and file access); gemini CLI invoked by install.sh; community opencode port at im-not-ai-ocx.illuwa.click linked from the README (separate project).

NVIDIA SkillSpector static scan: 50 pattern hits (Dangerous Code Execution 17, Agent Snooping 16, Tool Misuse 8, Data Exfiltration 8, Supply Chain 1). HIGH hits are test fixtures copying os.environ for subprocess runs, rm -rf of temporary HOME directories in install tests, a documented DELETE route in a web-service spec, and the repo's own .githooks/commit-msg. 'Skill Enumeration' and 'File System Enumeration' hits are README and INSTALL commands such as ls ~/.claude/skills. The README's voice_profile_log.json telemetry is a local log file; no upload code was found.

A review, not a certification. Skills change after we check them — read the files before installing.

License

MIT — commercial use allowed.

Can it run unattended?

Not really. It runs per text with deterministic gates, but it is an editing aid you review rather than a long unattended loop.

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FAQ

What is im-not-ai / Humanize KR?

It is an agent skill that rewrites Korean text written by ChatGPT, Claude or Gemini so it reads like a person wrote it, by fixing translationese, mechanical parallelism and stock phrases. It keeps facts, numbers and quotes unchanged.

How do I install Humanize KR?

In Claude Code run /plugin marketplace add epoko77-ai/im-not-ai then /plugin install humanize-korean@im-not-ai. Copilot CLI, Codex (via install.sh) and Gemini CLI (gemini extensions install) are also covered in the README.

Does it work for English?

No. The patterns are Korean-specific. For English text use a general humanizer skill instead.

Is it safe?

We saw only local Python scripts and instructions, and no network calls in the code we read. The installer symlinks the skills into your agent folders.

Sources: GitHub repository (stars, license, file tree, last push Oct 12, 2026). Review based on the README and SKILL.md files as published.