humanizer-de
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.
- Ask Claude to identify and remove AI-generated writing patterns from German technical documentation.
- Generate more natural-sounding German text by running detected content through the humanizer workflow.
- Audit German marketing copy for robotic phrasing before publishing to stakeholders or customers.
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.
https://github.com/marmbiz/humanizer-de
By marmbiz
How to Get It
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.
After installing, paste this into Claude:
Identify and remove AI-generated writing patterns from German technical documentation
Trust Signals Auto-scanned
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
Scored from trust signals (evidence-eval-v1): 38 GitHub stars; contributors unknown; last commit 1d ago; license no license.