A sophisticated writing editor that identifies and removes common AI-generated signatures to create natural, human-sounding text.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install loadpage
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 loadpage 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?
Humanizer is a specialized skill designed to bridge the gap between robotic AI output and authentic human expression. Based on the comprehensive research from Wikipedia's AI Cleanup project, this skill systematically detects 24 distinct patterns of machine-generated writing, such as inflated symbolism, overused transition words, and repetitive sentence structures. By integrating this into your Openclaw Skills workflow, you can ensure that your content doesn't just look clean, but carries the rhythm, nuance, and personality of a real author.
The tool goes beyond simple synonym replacement; it focuses on adding soul to the writing. It encourages the use of first-person perspectives, acknowledges complexity, and varies sentence lengths to avoid the monotonous cadence typical of LLMs. Whether you are drafting a technical report or a blog post, Humanizer acts as a high-level editor that prioritizes clarity and character over algorithmic predictability.
Humanizer Use Cases
- Polishing AI-drafted blog posts to remove tell-tale signs of automation like the word tapestry or pivotal.
- Refining technical documentation to ensure a neutral, factual tone without promotional fluff.
- Cleaning up emails and communications by removing sycophantic chatbot artifacts like Certainly! or I hope this helps.
- Injecting personality and opinion into sterile reports to improve reader engagement and trust.
- Converting outline-like Challenges and Future Prospects sections into cohesive, narrative paragraphs.
How Humanizer Works
- The skill scans the provided text against a comprehensive library of AI-writing patterns, including content, grammar, and style markers.
- It identifies specific instances of copula avoidance, negative parallelisms, and the rule of three overuse.
- The agent rewrites problematic sections to prioritize simple constructions, such as using is or are instead of serves as or stands as.
- It injects human voice elements, such as varying sentence rhythm and adding specific details to replace vague expert attributions.
- The tool performs a final pass to remove formatting artifacts like excessive bolding, curly quotes, and emoji-decorated headers.
- It presents the humanized version along with a summary of the specific AI-isms that were removed.
Humanizer Setup
To integrate Humanizer into your environment for Openclaw Skills, ensure your agent has access to file editing tools. Follow these steps to prepare your text for humanization:
# Navigate to your project directory
cd ~/my-content-project
# Ensure the skill is available in your agent's manifest
# Then, prompt your agent to humanize a specific file
"Humanize the content in draft.md to make it sound more natural."
Humanizer Data Schema & Taxonomy
Humanizer analyzes text structures and maps them to a taxonomy of patterns derived from WikiProject AI Cleanup. The following table illustrates how the skill categorizes and handles data:
| Category | Patterns Monitored | Mitigation Action |
|---|---|---|
| Content | Vague attributions, Inflated symbolism | Replace with specific sources and direct facts |
| Grammar | AI Vocabulary, -ing phrases | Substitute with active verbs and common language |
| Style | Em Dash overuse, Curly quotes | Normalize punctuation and heading capitalization |
| Soul | Monotonous rhythm, Lack of opinion | Vary sentence length and inject personal perspective |
Humanizer Advanced Features
- Comprehensive detection of 24 unique AI-writing signatures based on Wikipedia's maintenance guides.
- Soul injection mode that actively adds opinion and acknowledging uncertainty to make text feel authentic.
- Automated removal of knowledge-cutoff disclaimers and collaborative communication artifacts.
- Support for varying professional voices, from formal technical reports to casual first-person narratives.
- Pattern-matching for negative parallelisms and false ranges to improve logical flow.
SKILL.md
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