aigc-detect

To detect AI-generated content in a Word document, this Skill applies multi-engine fusion detection to scan your text and output authenticity scores. You can specify a detection threshold, such as 0.4, to flag AI-generated sections for review.

Yes, you can refine academic writing to reduce AI content detection scores using AI-driven text refinement strategies. After identifying flagged sections, the Skill rewrites the text to lower detection probability while improving original document quality.

Yes, you need an OPENAI_API_KEY to verify document authenticity because the text refinement process relies on a large language model. The detection engines run first, followed by LLM-based refinement for any flagged text sections.

Multi-engine fusion detection for AI text verification is a mechanism that aggregates results from multiple detection algorithms to assess document authenticity. It provides a comprehensive score to identify AI-generated content accurately across various text sections.

Yes, the Skill works with uv for environment setup, requiring it as a dependency to manage the Python environment. This ensures the necessary detection engines and LLM-based refinement scripts run consistently within an isolated, configured workspace.