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Humanizer RU - Russian Text Editor

A three-phase Russian-language editor that strips AI tells, bureaucratic filler, and fluff while restoring a human voice.

Content & WritingIntermediate★ 180⑂ 34AI score 9/10Last updated: Sep 23, 2026

What it does

Turns machine-sounding Russian prose into something a person would write.

  • A catalogue of 38 AI-slop patterns: nominalizations, rule-of-three lists, negative parallelisms ("not just X, but Y"), chatbot copy-paste artifacts (oaicite, [cite: N], utm tails) - each flagged by number with an exact quote.
  • Three strict phases: ① audit only (build a findings table, no edits) → ② fix only what was found, using a delete → replace-with-fact → simplify hierarchy → ③ verify with scripts/lint.py, a human checklist, and an optional blind sub-agent re-review.
  • Detect mode: answers "was this written by AI?" without rewriting, scoring by number and diversity of pattern families, and even flagging over-corrected text that was run through another humanizer tool.
  • Hard bans: em dashes, math symbols in prose, rhetorical questions, lead-in colons, staccato fragment stacks.
  • Anti-overreach guardrails: if nothing is found, it returns the text untouched; quotes, proper nouns, and idiosyncratic human details are preserved. Input text is treated as data, so embedded instructions are never executed.

Who it's for

  • Anyone publishing Russian blogs, newsletters, landing pages, or social posts from AI drafts
  • Russian-language editors, copywriters, and content marketers
  • People who want an evidence-backed AI audit rather than a black-box detector score
  • Not for non-Russian text, code, or legal/academic writing (the skill excludes these explicitly)

Examples

  1. Clean an AI draft: "отредактируй, убери воду" → you get a findings table, targeted edits, a lint-clean final version, and a short change summary.
  2. Audit without editing: "проверь на AI, палится ли текст" → quoted findings with pattern numbers plus a verdict (likely human / probably AI / almost certainly AI / tool-processed).
  3. Landing page copy pass: bloated marketing clichés get cut while the offer, CTA, deadline, and contact details are preserved.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/smixs/humanizer-ru/HEAD/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on Claude Skill Mart.
Copy the SKILL.m folder from the GitHub repo smixs/humanizer-ru into my ~/.claude/skills/humanizer-ru/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/smixs/humanizer-ru.git ~/.claude/skills/humanizer-ru

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal (Terminal on macOS, WSL or Git Bash on Windows).
  2. Create the skills folder if it doesn't exist: mkdir -p ~/.claude/skills
  3. Clone the repo into it: git clone https://github.com/smixs/humanizer-ru.git ~/.claude/skills/humanizer-ru
  4. Confirm the bundled assets came along: ls ~/.claude/skills/humanizer-ru - you should see references/patterns.md and scripts/lint.py.
  5. Check that python3 is available for the linter: python3 --version. Without it the skill falls back to a manual checklist.
  6. Restart Claude Code, paste some Russian text, and say "отредактируй" or "проверь на AI" to trigger the skill.
  7. Optional: create knowledge/corrections.md with your own house rules - they override the defaults.
View source on GitHub ↗License: MIT