ai-text-detector-github

To detect AI-generated text in writing samples, you can use this Skill to analyze the document and identify passages exhibiting AI-like signals. It provides a risk estimate, a confidence level, and a cautious verdict for editorial and educational review workflows.

AI-like text signal analysis works by running local scripts to evaluate writing patterns and calculate a risk estimate. The mechanism provides an explainable score and confidence level, helping editors and educators assess potential AI involvement without claiming authorship misconduct.

Yes, you need a Python environment with specific packages installed to perform writing analysis for AI detection. The Skill relies on local analysis scripts to evaluate the text and generate risk estimates, so the required environment must be configured before execution.

Yes, you can use AI text detection for educational content moderation workflows. The Skill is specifically designed to help teachers and editors quickly assess whether a written piece might have been AI-generated, allowing for further human review.

The main limitation of automated AI text detection is that it cannot definitively prove authorship or misconduct. The Skill provides cautious verdicts and caveats, serving as a supplementary risk assessment tool to prompt further review rather than a final judgment.

The best way to analyze a document like student_submission.txt for AI-like signals is to pass the file directly to the Skill. It processes the text locally to deliver an explainable risk estimate, confidence level, and cautious recommendations for further review.