Chinese AI Text Humanizer & Detector
Detects and rewrites AI-generated Chinese text to increase naturalness and reduce AIGC detection scores across academic and social platforms.
This skill provides a comprehensive toolchain for analyzing and transforming AI-generated Chinese content into human-like text. It leverages a sophisticated multi-paragraph rewriting engine, scene-aware logistic regression fusion, and style-specific transforms for platforms like Zhihu, Xiaohongshu, and academic journals. By combining 20+ rule categories with statistical features like sentence-length variation and perplexity, it significantly reduces AIGC signatures for databases such as CNKI and Wanfang. The tool operates as a pure Python, offline-first solution, ensuring privacy while offering 'best-of-N' optimization to achieve the most natural linguistic results.