A specialized AI agent skill designed to humanize Chinese academic writing by removing artificial patterns and restoring authentic scholarly voice.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install humanizer-academic-zh
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install humanizer-academic-zh using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Humanizer Academic Chinese?
The Humanizer Academic Chinese skill is an advanced editing tool for researchers and students using Openclaw Skills. It functions as a sophisticated academic editor that specifically targets and eliminates AI-generated traces in Chinese manuscripts. By analyzing linguistic rhythms, vocabulary choices, and structural formulas, it transforms mechanical AIGC output into natural, professional academic prose that reflects the critical thinking and nuanced positioning of a human scholar.
This skill goes beyond simple paraphrasing by injecting academic personality into the text. It identifies eighteen distinct patterns of machine-like writing—such as over-emphasized influence, vague attributions, and repetitive sentence structures—and replaces them with the direct, evidence-based language expected in high-level journals. It ensures your work maintains its core meaning while appearing as the product of deep human reflection.
Humanizer Academic Chinese Use Cases
- Polishing draft academic papers to remove obvious AI-generated stylistic markers.
- Reducing AIGC detection scores in Chinese research submissions to meet journal requirements.
- Converting general AI summaries into formal, disciplined academic discourse.
- Improving the flow and readability of complex technical arguments in Chinese manuscripts.
- Injecting personal academic stance and critical evaluation into otherwise neutral AI-generated syntheses.
How Humanizer Academic Chinese Works
- Scanning the input text for 19 distinct AI linguistic patterns, including overstatements, vague attributions, and formulaic structures.
- Identifying segments with repetitive rhythms or robotic sentence lengths that signal machine generation.
- Rewriting problematic sections to vary sentence structures and incorporate specific, consistent academic terminology.
- Balancing active and passive voice while removing conversational remnants or chatbot-specific boilerplate like 'I hope this helps'.
- Conducting a final verification against a strict checklist to ensure scholarly tone and the presence of a clear academic stance.
Humanizer Academic Chinese Setup
To integrate this skill into your environment, use the standard configuration for Openclaw Skills. Ensure your agent has the necessary permissions to process and rewrite text documents.
# Example of adding the skill to your agent configuration
openclaw install humanizer-academic-zh
The skill is triggered automatically when a user provides Chinese text and requests to 'humanize', 'remove AI flavor', or 'polish for academic publication'.
Humanizer Academic Chinese Data Schema & Taxonomy
The skill organizes its processing workflow through a rigorous metadata taxonomy to ensure output quality. Data is typically handled as follows:
| Component | Description |
|---|---|
| Input Source | Raw Chinese academic text, often containing AIGC markers. |
| Pattern Map | Internal identification of markers like 'fake depth' or 'synonym cycles'. |
| Scholarly Tone Layer | Applied logic to ensure the use of standard academic particles and 'first-person' balance. |
| Output Format | Refined Markdown text ready for academic submission. |
Humanizer Academic Chinese Advanced Features
- Multi-pattern detection targeting 19 specific linguistic categories unique to Large Language Model outputs.
- Adaptive rhythm variation that purposefully breaks monotonous sentence structures to simulate human writing flow.
- Scholarly stance injection which transforms neutral summaries into evaluative research conclusions.
- Automatic removal of non-standard formatting such as unnecessary bolding, em-dashes, and vertical lists common in AI responses.
- Consistency engine that ensures terminology remains uniform throughout the document rather than using forced synonyms.
SKILL.md
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