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Nm Scribe Slop Detector

by athola · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ error
127
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0
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1
Active Installs
1
Versions
Install in OpenClaw
/install nm-scribe-slop-detector
Description
Detect and flag AI-generated content markers in documentation and prose
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install nm-scribe-slop-detector
  3. After installation, invoke the skill by name or use /nm-scribe-slop-detector
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the slop-detector skill for identifying AI-generated content markers in documentation and prose. - Detects vocabulary, phrase, structural, and sycophantic patterns commonly associated with generated text. - Calculates a slop density score based on detected markers and provides actionable remediation recommendations. - Supports language detection and cultural calibration with language-specific patterns. - Outputs a detailed markdown report highlighting high-confidence markers, structural issues, and suggestions for improvement.
Metadata
Slug nm-scribe-slop-detector
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Nm Scribe Slop Detector?

Detect and flag AI-generated content markers in documentation and prose. It is an AI Agent Skill for Claude Code / OpenClaw, with 127 downloads so far.

How do I install Nm Scribe Slop Detector?

Run "/install nm-scribe-slop-detector" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Nm Scribe Slop Detector free?

Yes, Nm Scribe Slop Detector is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Nm Scribe Slop Detector support?

Nm Scribe Slop Detector is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Nm Scribe Slop Detector?

It is built and maintained by athola (@athola); the current version is v1.0.0.

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