Detects AI-generated writing patterns in text inputs via lexical and structural analysis.
npx skills add https://github.com/CyranoB/slop-sense --skill slop-check-cyranob
Please help me install this Agent Skill. Skill: slop-check Source: https://github.com/CyranoB/slop-sense/tree/main/skills/slop-check Command: npx skills add https://github.com/CyranoB/slop-sense --skill slop-check-cyranob
This skill solves the uncertainty of whether a piece of text was written by an AI, providing an objective verdict without the need for a full rewrite.
Use the slop-check skill to analyze the text provided in the file report.txt and return a verdict.
High-intent search queries and answers about installing and using this skill.
AI-generated text detection works by scanning inputs against 36 specific AI writing patterns using lexical and structural rhythm analysis. It calculates a 0-100 SLOP score and provides evidence for each detected tell to verify content authenticity.
Yes, algorithmic AI text detection is suitable for CI/CD pipelines. It calculates a 0-100 SLOP score based on lexical patterns and structural rhythm analysis, providing a quick automated verdict for content verification workflows.
Yes, Node.js and Python 3 are required for AI writing pattern analysis. Node.js executes the SLOP scorer while Python 3 runs the rhythm analysis script to evaluate text inputs and calculate the 0-100 score.
The best way to score AI writing patterns for editorial review is algorithmic scoring. It scans text against 36 specific AI writing patterns, calculating a 0-100 SLOP score and providing evidence for each detected tell to support content verification.
A limitation of using a SLOP score for AI content verification is that it only identifies and scores 36 specific AI writing patterns without rewriting the text. It provides an objective verdict but requires manual intervention to fix the detected AI tells.
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