Rewrite Chinese academic text to reduce CNKI AIGC detector AI rate.
npx skills add https://github.com/qingshanliuci/cnki-aigc---skill --skill cnki-aigc-rewrite
Please help me install this Agent Skill. Skill: cnki-aigc-rewrite Source: https://github.com/qingshanliuci/cnki-aigc---skill/tree/main Command: npx skills add https://github.com/qingshanliuci/cnki-aigc---skill --skill cnki-aigc-rewrite
This Skill addresses the issue of human-written academic papers being incorrectly flagged as AI-generated by the CNKI AIGC detector, helping researchers lower their AI rate without compromising academic integrity.
Use the cnki-aigc-rewrite skill to analyze and rewrite the following academic paragraph to reduce its AI detection score.
High-intent search queries and answers about installing and using this skill.
To bypass CNKI AIGC detection, rewrite academic papers by altering predictable syntactic rhythms and uniform information density while preserving technical terminology, citations, and numerical data to lower the AI rate.
The CNKI AIGC detector flags human-written theses due to specific linguistic patterns like predictable rhythm and uniform information density that mimic AI text generation, causing false-positive AI detection.
Yes, you can reduce the AI rate of a journal submission without altering numerical data by strictly preserving facts, numbers, terminology, and citations while shifting the linguistic style to be more human-like.
Step by step, rewrite Chinese academic text by identifying AI-triggering syntactic patterns, then systematically adjusting the sentence structure and stylistic rhythm to shift the linguistic style without losing technical accuracy.
Avoiding false-positive AI detection maintains academic integrity because the rewriting process strictly preserves original facts, professional terminology, and citations while only modifying the sentence structure to reduce the AI rate.
The limitation when rewriting a thesis flagged red significant by CNKI is that the process requires strict adherence to constraints regarding the preservation of numerical data, citations, and professional terminology to ensure technical accuracy.
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