Rewrite academic text to reduce AI detection patterns.
npx skills add https://github.com/Hisn00w/deai-writer --skill deai-writer
Please help me install this Agent Skill. Skill: deai-writer Source: https://github.com/Hisn00w/deai-writer/tree/main Command: npx skills add https://github.com/Hisn00w/deai-writer --skill deai-writer
This Skill addresses the challenge of academic texts being flagged by AI detection tools, providing a systematic way to remove AI-generated patterns while maintaining academic rigor and logical integrity.
Use the deai-writer skill to perform a降重 rewrite on the attached academic text to ensure it passes AI detection while maintaining its original logic.
High-intent search queries and answers about installing and using this skill.
Academic text humanization eliminates AI-generated markers by applying a three-round rewriting protocol that combines token replacement, human-feature injection, and automated AI-pattern scanning to maintain logical integrity.
AI pattern diagnosis identifies robotic phrasing by running a 7-dimensional scanning script that detects high-risk AI markers, including template phrases and repetitive sentence structures, ensuring the text passes detection software checks.
Deep polishing mode enhances academic text by systematically injecting human-like rhythm and removing robotic phrasing without altering core research findings, ensuring the document maintains its original logical integrity.
Yes, stylistic mimicry mode allows users to rewrite academic text to match a specific author's style, functioning as one of the three-tiered rewriting modes alongside AI detection avoidance and deep polishing.
Academic text humanization does not change original research logic; the rewriting protocol specifically targets AI-generated patterns and template phrases to remove robotic phrasing while explicitly maintaining the document's academic rigor and logical integrity.
Limitations of automated AI trace identification involve its focus on detecting template phrases and repetitive sentence structures via a 7-dimensional scanning script, meaning it removes robotic patterns rather than generating new academic research content.
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