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humanizer-de

Skill Productivity Poor
Works inClaude Code
Poor Scanned — metadata only

Detects and removes AI-generated writing patterns from German text, reducing compliance risk and improving authenticity in customer-facing content and regula…

Standalone humanizer for German-language text — detects and removes AI writing patterns (65 patterns across 10 categories). Uses deterministic linters and a 5-pass workflow, and installs as a Claude Code plugin. Derived from blader/humanizer.

94 starsFreeQuick setup
Below standard — Significant caveats apply. Not recommended without careful review of the security and evaluation sections.

Detects and removes AI-generated writing patterns from German text, reducing compliance risk and improving authenticity in customer-facing content and regulatory submissions.

German-language content teams and compliance officers managing AI-assisted documentation and communications.

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https://github.com/marmbiz/humanizer-de

By marmbiz

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 marmbiz/humanizer-de

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 writing patterns from German technical documentation
CostFree

Trust Signals Auto-scanned

Stars94Contributors1Last updated2026-08-18Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-18 · scanner v1

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 38 GitHub stars; contributors unknown; last commit 1d ago; license no license.

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.
  • Single maintainer. Consider the risk if this person stops maintaining the project.

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
1/5
Versatility
2/5
Reliability
3/5
Security
3/5
Overall score2.05 / 5.00 PoorEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 38 GitHub stars; contributors unknown; last commit 1d ago; license no license.

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