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humanizer-ru

Skill Development Usable
Works inClaude Code
Usable Scanned — metadata only

Removes machine-generation artifacts from Russian text while preserving authentic content, reducing detection risk and compliance violations tied to AI-gener…

Скилл для ИИ-агентов: находит и убирает следы машинной генерации из русского текста, не трогает живое и не дописывает факты. 56 паттернов, 40 regex-маркеров (реестр доказательств 38/40), ось «дельта детектируемости до/после» с FP-контролем, снятие меток C2PA/EXIF/XMP, пакет на PyPI и онлайн-демо

117 starsMIT (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Removes machine-generation artifacts from Russian text while preserving authentic content, reducing detection risk and compliance violations tied to AI-generated material in regulated markets.

Teams publishing Russian-language content who need to reduce AI-detection signatures without manual rewriting.

Claude Code Claude Cowork Claude Chat

https://github.com/Vladimir-Human/humanizer-ru

By Vladimir-Human

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install Vladimir-Human/humanizer-ru

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.

First thing to try

After installing, paste this into Claude:

Identify and remove AI-generated text patterns from Russian documentation
CostFree

Trust Signals Auto-scanned

Stars117Last updated2026-08-27LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-27 · scanner v1

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): 117 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.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedAug 2026
Scored from trust signals (evidence-eval-v1): 117 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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