A specialized academic editing skill designed to detect and remove AI-generated writing traces while preserving scholarly rigor and authorial voice.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install humanizer-academic-en
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-en 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 English?
The Humanizer Academic English skill acts as a sophisticated editorial layer for researchers and students using AI coding agents. It goes beyond simple paraphrasing by identifying 29 distinct patterns of AI-generated prose, such as rhetorical inflation, formulaic transitions, and repetitive syntax. By integrating this into Openclaw Skills, users can transform sterile, machine-like drafts into nuanced, analytical text that reflects a genuine human presence and meets the stylistic standards of high-impact academic journals.
This skill prioritizes clarity, analytical judgment, and disciplinary register. It strictly controls sentence length, clause nesting, and vocabulary choice to move away from the 'empty framing' typical of large language models. The result is academic prose that is direct, evidence-based, and free from the linguistic hallmarks of AI assistance.
Humanizer Academic English Use Cases
- Polishing initial AI-generated drafts of research papers to meet journal submission standards.
- Refining abstracts and introductions to remove promotional adjectives and inflated significance claims.
- Adjusting the rhythm and sentence structure of complex technical descriptions for better readability.
- Removing 'chatbot residue' and conversational filler from synthesized literature reviews.
- Ensuring disciplinary consistency and authorial voice across multi-author academic manuscripts.
How Humanizer Academic English Works
- The skill scans the provided English text against a comprehensive library of 29 AI writing patterns, including lexical drift and structural scaffolds.
- It identifies segments containing rhetorical inflation, such as overused words like 'transformative' or 'pivotal'.
- The agent rewrites flagged segments into natural academic prose, favoring direct verb-led phrasing over heavy nominalization.
- It enforces specific linguistic constraints, such as capping clause nesting at two levels and maintaining sentence lengths between 28-32 words.
- It performs a final verification to ensure all conversational residue, em dashes, and vague attributions are removed before outputting the polished text.
Humanizer Academic English Setup
To use this skill within your AI agent environment, ensure the markdown file is accessible to your system. Openclaw Skills can be triggered via natural language prompts.
# Add the skill to your local agent configuration
cp humanizer-academic-en.md ./skills/
# Example prompt to trigger the skill
# "Use the academic humanizer to polish the following text..."
Humanizer Academic English Data Schema & Taxonomy
The skill operates on text-based inputs and enforces a strict taxonomy of linguistic standards as detailed below:
| Constraint | Requirement |
|---|---|
| Sentence Length | Optimal range of 28-32 words |
| Clause Nesting | Maximum 2 levels per sentence |
| Passive Voice | Below 40% (excluding Methods sections) |
| Punctuation | Zero tolerance for em dashes |
| Vocabulary | Preference for B2/C1 level academic terminology |
| Formatting | Removal of excessive bolding and micro-headings |
Humanizer Academic English Advanced Features
- Pattern Library: Includes 29 distinct detection markers for identifying AI-specific rhetorical and syntactic habits.
- Style Modes: Features a 'Hard mode' for strict de-hyping and a 'Soft mode' for preserving more of the author's original stylistic texture.
- Voice Restoration: Actively injects evaluative judgments and intentional rhythm variations to mimic human authorial presence.
- Seamless Integration: Designed to work within the broader ecosystem of Openclaw Skills to facilitate end-to-end research automation and document preparation.
SKILL.md
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