Detect and score AI-generated writing patterns using lexical and structural analysis.
npx skills add https://github.com/CyranoB/slop-sense --skill slop-sense
Please help me install this Agent Skill. Skill: slop-sense Source: https://github.com/CyranoB/slop-sense/tree/main/dist-src/slop-sense-bundle Command: npx skills add https://github.com/CyranoB/slop-sense --skill slop-sense
This skill addresses the proliferation of low-quality, robotic AI-generated content by identifying specific linguistic patterns and providing actionable workflows to restore a natural, human voice to your writing.
Paste your text into the chat and ask the slop-sense skill to rewrite it to sound more human.
High-intent search queries and answers about installing and using this skill.
To detect AI-generated text and rewrite it to sound more human, paste your draft into the chat and request a rewrite; the skill uses lexical and structural analysis to score AI patterns and automatically restore a natural voice.
AI detection scoring looks for specific writing patterns like em-dash overuse, significance inflation, low burstiness, missing contractions, and anaphora, providing a comprehensive AI-score based on these linguistic and structural tells.
Yes, you need Node.js and Python 3 to run the AI text analysis, because the skill uses Node.js for the lexical slop-detector script and Python 3 for the structural rhythm analysis engine.
Yes, you can score your content for AI patterns without rewriting it by using the verdict-only scoring mode, which evaluates the text and provides an AI-score without generating a humanized rewrite.
The best way to audit a draft for robotic AI writing tropes is to use the pattern deep-dive mode, which identifies specific linguistic patterns like em-dash overuse and significance inflation, then provides actionable workflows to restore natural rhythm.
Yes, this skill can extract the original prompt from a piece of AI-generated writing by using its prompt extraction mode, one of four distinct analysis modes available for auditing and understanding LLM content generation.
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