de-slop

Detect AI-generated writing patterns in markdown files with regex analysis.

Updated Mar 13, 2026

Search Tags:#documentation #editing #ai writing #natural language #content quality #plagiarism detection

Ready to run

npx skills add https://github.com/TECHKNOWMAD-LABS/cortex-research-suite --skill de-slop-techknowmad-labs

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: de-slop
Source: https://github.com/TECHKNOWMAD-LABS/cortex-research-suite/tree/main/skills/de-slop
Command: npx skills add https://github.com/TECHKNOWMAD-LABS/cortex-research-suite --skill de-slop-techknowmad-labs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill identifies and helps remove the telltale signs of AI-generated writing, making your documentation and content sound more human and professional.

Core Features & Use Cases

AI Pattern Detection: Scans markdown and text files for common AI writing anti-patterns like excessive emoji, hyperbolic language, buzzword stacking, and filler phrases.
Scoring and Flagging: Assigns a "slop score" to files and flags specific lines with suggested improvements.
Use Case: Before publishing a README or technical guide, run this Skill to ensure it doesn't sound like it was written by a bot, improving reader trust and clarity.

Quick Start

Scan the current directory for AI writing patterns and report findings.

Frequently Asked Questions about de-slop

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I detect AI-generated writing patterns in markdown files?▼

AI-generated writing patterns in markdown files are detected using regex and heuristic analysis to identify structural tells, hyperbolic language, and filler phrases. The analysis produces per-file slop scores and line-level flags with suggested fixes.

What are common AI writing anti-patterns in technical documentation?▼

Common AI writing anti-patterns in technical documentation include buzzword stacking, defensive framing, repetitive structures, excessive emoji, and motivational tone. These filler patterns make content sound robotic and reduce reader trust.

How do I scan a directory for AI writing artifacts before publishing?▼

Scan a directory for AI writing artifacts by running a Python script that analyzes markdown and text files. The script flags specific lines containing AI patterns and assigns a slop score to evaluate overall content quality.

Does this AI content detection require any external dependencies?▼

This AI content detection requires Python to execute the analysis script, but relies on no external dependencies. It uses built-in regex and heuristic analysis to evaluate markdown files without needing third-party APIs.

Can I get line-level suggestions to fix robotic sounding documentation?▼

Line-level suggestions to fix robotic sounding documentation are generated automatically during the heuristic analysis. The scanner flags specific lines containing AI writing patterns and provides targeted fixes to improve natural language flow.

What is the best way to remove buzzwords and filler from markdown content?▼

The best way to remove buzzwords and filler from markdown content is using a heuristic scanner that detects repetitive structures and hyperbolic language. It flags problematic lines and suggests improvements to restore natural language quality.