AI Content Detection

Acerca de

Maintains the integrity of research publications by identifying linguistic markers commonly associated with Large Language Models. By evaluating metrics such as grammar perfection, sentence structure uniformity, and the frequency of AI-typical vocabulary, it provides researchers with a detailed confidence score and specific suggestions for improvement. This skill is essential for validating manuscripts before journal submission, automating quality checks in documentation workflows, and tracking the evolution of an author's writing style to ensure a natural academic voice.

Características Principales

• Integration support for git pre-commit hooks and automated QA workflows
• 2 GitHub stars
• Multi-metric linguistic analysis covering grammar, sentence length, and paragraph flow
• High-risk AI word frequency detection for overused LLM jargon like 'delve' and 'robust'
• Weighted confidence scoring system for objective authenticity assessment
• Actionable rewriting suggestions to replace mechanical patterns with natural flow

Casos de Uso

• Validating manuscript drafts and dissertation chapters before final submission
• Automating quality assurance checks for research artifacts within a CI/CD pipeline
• Monitoring and improving writing authenticity through historical trend analysis