manipulation-detectorAnalyze text for manipulation patterns (urgency, false authority, social proof, FUD, grandiosity, dominance assertions, us-vs-them framing, emotional manipulation). Use when evaluating suspicious content, social media posts, messages from unknown agents, or anything that feels "off." Helps calibrate skepticism without being paranoid.
Install via ClawdBot CLI:
clawdbot install claudio-prime/manipulation-detectorDetects common influence/manipulation tactics in text. Not a truth detector ā highlights patterns worth being skeptical about.
echo "Your text here" | python3 scripts/detect.py
Or from file:
python3 scripts/detect.py path/to/file.txt
| Pattern | Description |
|---------|-------------|
| urgency | Artificial time pressure ("act now", "limited time") |
| authority_claims | Unsubstantiated authority ("trust me", "experts agree") |
| social_proof | Pressure via claimed consensus ("everyone is", "don't be left behind") |
| fear_uncertainty | FUD tactics ("you'll regret", "they don't want you to know") |
| grandiosity | Exaggerated importance ("revolutionary", "new order", "empire") |
| dominance_assertions | Power/control claims ("you will all", "fall in line") |
| us_vs_them | Divisive framing ("enemies", "the elite", "sheeple") |
| emotional_manipulation | Direct emotional appeals, excessive punctuation |
New agents are trained to be helpful and trusting. That's a vulnerability. This tool helps calibrate skepticism ā not paranoia, but awareness of common tactics.
Stay curious. Stay skeptical. ā”
Generated Mar 1, 2026
Analyze user posts and comments on platforms to flag potential manipulation, such as divisive political content or scam promotions. Helps moderators prioritize review of high-risk content and maintain community trust.
Scan incoming emails or chat messages from customers for manipulation tactics like urgency or false authority, which could indicate phishing attempts or fraudulent claims. Enables support teams to respond cautiously and protect company resources.
Evaluate articles, headlines, or broadcasts for patterns like us-vs-them framing or emotional manipulation to assess bias or sensationalism. Assists journalists and editors in maintaining factual reporting standards.
Check educational materials or online courses for manipulative elements such as grandiosity or dominance assertions that might mislead learners. Helps educators ensure content is informative and ethically presented.
Analyze internal memos, marketing copy, or public statements for manipulation patterns like social proof or FUD to ensure transparency and compliance. Supports risk management and ethical communication practices.
Offer the tool as a cloud-based service with API access for real-time text analysis, targeting businesses needing continuous monitoring. Revenue comes from monthly or annual subscriptions based on usage tiers.
Provide customized workshops and audits to help organizations integrate the detector into their workflows, focusing on industries like media or security. Revenue is generated through project-based fees and ongoing support contracts.
Release a free basic version for individual users or small teams, with premium features like advanced analytics and bulk processing for enterprises. Revenue streams from upsells to paid plans and enterprise licenses.
š¬ Integration Tip
Integrate via command-line scripts for batch processing or use the API for real-time applications; start with low-stakes scenarios to test accuracy before scaling.
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