RealChinese is an open-source Chinese AI text humanization engine that detects 29 distinct AI footprints and rewrites content to match 8 major Chinese social media platforms.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install realchinese
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install realchinese using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
RealChinese is a highly efficient, production-ready Chinese AI text humanization engine designed to bridge the gap between AI-generated drafts and authentic human writing. Unlike basic text replacers, this executable engine actively analyzes text against 29 distinct AI fingerprints—such as high-frequency AI buzzwords, rigid transition templates, and overly uniform sentence structures. It provides a programmatic, highly-reliable approach to polish your digital copy for native Chinese-speaking audiences.
As a prominent utility within the Openclaw Skills registry, RealChinese empowers creators, developers, and marketers to automatically adapt their text for 8 major Chinese platforms. By integrating this engine, teams can easily run automated pipelines that scan drafts and output high-converting, platform-optimized copy that reads naturally and retains high user engagement.
Ensure you have Python installed. You can run the engine directly from your terminal.
# Detect AI footprints
python scripts/cli.py detect '这是一个非常有效的方法,能够显著提升工作效率...'
# Rewrite to Xiaohongshu style
python scripts/cli.py rewrite '你的AI文本...' 小红书
from scripts.detector import AIFingerprint
from scripts.rewriter import rewrite
text = '通过优化工作流程,我们可以显著提升团队效率...'
fp = AIFingerprint(text)
print(f'AI Fingerprint Score: {fp.score:.2f}')
result = rewrite(text, platform='小红书', topic='效率提升')
print(result)
| Indicator ID | Detection Category | Description |
|---|---|---|
| 1 | High-Frequency AI Vocabulary | Detects overused words like '显著', '提升', '优化' |
| 2-3 | Template Transitions & Patterns | Flags transitional phrases like '此外', '然而', '综上所述' |
| 4 | AI-Specific Buzzwords | Scans for corporate jargon like '赋能', '抓手', '闭环' |
| 5-6 | Internet & Colloquial Slang | Evaluates absence of trending slang (e.g., 'YYDS', '显眼包') |
| 7-15 | Syntactic Structure | Analyzes paragraph uniformity, sentence length variance, and excessive particle '的' density |
| Platform | Expected Tone | Styling Rules Applied |
|---|---|---|
| WeChat (公众号) | Professional & Engaging | Hook headlines, rhythmic paragraph breaks, end-of-article Call-To-Action (CTA) |
| Xiaohongshu (小红书) | Peer-to-Peer Chat | Heavy emoji density, modal particles, localized SEO hashtags |
| Zhihu (知乎) | Evidence-Based & Logical | Data-backed arguments, structured bullet points, open discussion prompts |
| Douyin (抖音) | Fast-Paced Script | Hook in first 3 seconds, short impact sentences, suspense, interactive prompts |
| Weibo (微博) | Casual & Interactive | 140-character limit, trending topic hashtags, memes, commentary style |
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