A CLI-driven utility for identifying and eliminating common AI writing patterns to make text sound more natural.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install humanize-ai
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 humanize-ai 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 Humanize AI?
The Humanize AI skill provides a robust framework for developers and content creators to sanitize text generated by large language models. By integrating these Openclaw Skills into your workflow, you can programmatically identify and rectify linguistic patterns that signal AI authorship, such as predictable vocabulary, excessive puffery, and repetitive sentence structures.
This toolset goes beyond simple detection; it offers an automated pathway to transform robotic prose into more authentic, human-like content. It is particularly valuable for users who need to maintain a consistent brand voice or ensure that their automated content pipelines produce high-quality, undetectable output.
Humanize AI Use Cases
- Detecting and bypassing AI content detectors by removing predictable linguistic signatures.
- Batch-processing marketing copy to remove filler phrases like "in order to" or "serves as."
- Sanitizing chatbot exports by automatically deleting artifacts like "I hope this helps."
- Identifying and reducing promotional puffery in AI-generated product descriptions.
- Standardizing document typography by converting curly quotes and fixing em dash patterns.
How Humanize AI Works
- The user initiates an analysis using the analyze script to scan a document for specific AI signatures.
- The system generates a detailed report categorizing issues into AI vocabulary, puffery, and auto-replaceable phrases.
- Safe replacements are performed using the humanize script, which applies rule-based logic to swap filler phrases for concise alternatives.
- The tool removes known chatbot artifacts and robotic sentence starters defined in the configuration.
- A final verification scan is performed to confirm the content now meets natural language standards within the Openclaw Skills ecosystem.
Humanize AI Setup
To get started with these Openclaw Skills, ensure you have a Python environment ready. Navigate to the skill directory and use the following commands:
# Check the analysis capabilities
python scripts/analyze.py --help
# Test the humanization script on a sample file
python scripts/humanize.py input.txt -o output.txt
Humanize AI Data Schema & Taxonomy
The skill manages its detection logic and replacement rules through a structured JSON configuration. This allows for high degrees of customization when using Openclaw Skills for different niches.
| Component | Description |
|---|---|
scripts/patterns.json |
The core configuration file containing all detection strings and replacement mappings. |
ai_words |
A list of high-probability AI terms that trigger flags but not auto-replacements. |
replacements |
A dictionary of key-value pairs where the key is the AI phrase and the value is the human alternative. |
chatbot_artifacts |
A list of common conversational phrases used by LLMs that are slated for total removal. |
puffery |
Adjectives and promotional terms that often indicate non-human authorship. |
Humanize AI Advanced Features
- Programmatic JSON output mode for the analysis script, enabling integration with other Openclaw Skills and automated reporting tools.
- Support for STDIN processing, allowing the tool to be used in complex shell pipes and automated web scrapers.
- Customizable pattern matching via
patterns.json, enabling users to define their own industry-specific AI detection rules. - Quiet mode execution for seamless background batch processing of large text datasets.
- Automated typography cleanup, including curly quote normalization and em dash replacement.
SKILL.md
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