Content Humanizer for Openclaw

A specialized text refiner that eliminates AI patterns and adapts writing for specific social platforms with natural human rhythm.

wyhw
v1.0.0
Mar 18, 2026
0
1.2k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install content-humanizer-zh

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install content-humanizer-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 Content Humanizer?

Content Humanizer is a powerful utility designed to bridge the gap between machine-generated drafts and authentic human expression. Within the ecosystem of Openclaw Skills, this tool acts as a sophisticated editor that identifies and removes over 24 distinct AI writing markers, such as formulaic transitions and repetitive sentence structures. It ensures your output feels organic, engaging, and devoid of the common robotic smell that often characterizes large language model outputs.

Beyond simple editing, the skill understands the nuances of different digital environments. Whether you are publishing to a professional platform like Zhihu or a lively social space like Little Red Book, Content Humanizer adjusts vocabulary, emoji density, and paragraph length to match the specific cultural expectations of your audience. This makes it an indispensable tool for creators using Openclaw Skills to maintain high-quality, believable content at scale.

Content Humanizer Use Cases

  • Polishing AI-generated blog posts or articles to sound more authentic and less formulaic.
  • Adapting a single piece of content for multiple social media platforms like WeChat, Zhihu, and Little Red Book.
  • Removing high-frequency AI filler words and cliches to improve readability and trust.
  • Injecting personality and a first-person perspective into technical or generic summaries.

How Content Humanizer Works

  1. Scans input text to identify common AI patterns and linguistic fillers based on internal reference libraries.
  2. Deletes unnecessary transitional phrases and simplifies complex, repetitive sentence structures.
  3. Applies platform-specific stylistic rules, adjusting the tone, emoji usage, and formatting.
  4. Re-rhythms the text by mixing sentence lengths and diversifying paragraph endings.
  5. Optionally generates a quality score based on dimensions like directness, rhythm, and authenticity.

Content Humanizer Setup

To integrate this capability into your Openclaw Skills workflow, ensure you have the Python environment ready and use the following commands:

# Basic text humanization
python scripts/humanize.py "Insert AI text here"

# Target a specific platform style
python scripts/humanize.py "Insert text" --platform xiaohongshu

# Check the humanization score of a text block
python scripts/humanize.py "Insert text" --score

Content Humanizer Data Schema & Taxonomy

The skill manages its transformation logic through structured reference files and scoring matrices:

Component Description
references/platform-styles.md Style definitions for InStreet, Little Red Book, WeChat, and Zhihu.
references/ai-patterns.md A taxonomy of 24+ AI patterns including high-frequency vocabulary and formulaic syntax.
Quality Score A 50-point scale evaluating Directness, Rhythm, Trust, Authenticity, and Conciseness.

Content Humanizer Advanced Features

  • Intelligent platform adaptation with pre-defined styles for major social ecosystems.
  • Comprehensive AI pattern dictionary to catch sophisticated linguistic markers.
  • Quantitative quality assessment providing feedback on the humanization progress.
  • Customizable logic to maintain professional terminology while softening the overall tone.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*