A specialized tool for identifying psychological manipulation tactics and influence patterns in written communication.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install manipulation-detector
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install manipulation-detector using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Manipulation Detector is a critical addition to the library of Openclaw Skills designed to help users and AI agents identify subtle patterns of influence. It analyzes text for common red flags like artificial urgency, unsubstantiated authority claims, and divisive framing.
By providing a structured way to evaluate suspicious content, this skill helps users maintain a healthy level of skepticism without succumbing to paranoia. It is particularly valuable for ensuring a more secure and objective interaction with digital media, social messages, and automated communications, effectively serving as a diagnostic layer for information integrity.
To get started with this entry in the Openclaw Skills collection, ensure you have Python 3 installed on your system. Use the following commands to analyze your content:
# Analyze direct text input via pipe
echo "Your text here" | python3 scripts/detect.py
# Analyze a specific text file
python3 scripts/detect.py path/to/file.txt
The Manipulation Detector organizes its analysis into a structured output based on eight primary psychological patterns and a risk hierarchy.
| Pattern Key | Description of Indicator |
|---|---|
| urgency | Artificial time pressure and scarcity |
| authority_claims | Unsubstantiated claims of expertise or trust |
| fear_uncertainty | FUD tactics and warnings of regret |
| risk_score | Numerical value (0-5: Low, 5-15: Moderate, 15+: High) |
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