Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
v2.0.0
What This Skill Does
Detects and transforms AI-generated Chinese text using 20+ pattern categories and a 0-100 weighted scoring system. Offers 7 platform-specific style transforms including Zhihu, Xiaohongshu, WeChat, and Weibo, with sentence-level restructuring and vocabulary diversification. Pure Python with no external dependencies.
Targets Chinese-specific AI patterns (three-part structures, buzzword vocabulary, template sentences) and applies platform-matched style transforms in a single local pipeline with no API calls or accounts required.
When to use it
- Rewriting AI-drafted WeChat articles before publishing
- Checking if a Chinese document reads as AI-generated
- Converting formal AI text into casual Xiaohongshu posts
- Batch scanning multiple Chinese blog drafts for AI patterns
- Adapting a Zhihu answer to sound more personal and opinionated
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: humanize this AI-written Chinese tech blog post for Zhihu
- 1Run detect_cn.py on the file to get a baseline AI score and identify the worst sentences
- 2Run compare_cn.py with --scene tech and aggressive mode to preview before/after changes
- 3Run humanize_cn.py with --scene tech --style zhihu -a to produce the cleaned output file
- 4Run detect_cn.py on the output file to confirm the score dropped to an acceptable level
Humanized Chinese text with AI detection score reduced from high or very-high to low or medium, formatted in Zhihu's rational, opinion-forward style