AI Scam Defense is a specialized security framework designed to identify and mitigate sophisticated AI-driven fraud, including voice cloning and deepfakes.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-scam-defense
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 ai-scam-defense using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
AI Scam Defense is a comprehensive security skill designed to protect users from the next generation of cybercrime. As scammers leverage advanced generative models to create convincing deepfake videos, cloned voices of family members, and hyper-personalized phishing attacks, this skill provides a critical layer of technical and procedural defense. It bridges the gap between traditional security measures and the evolving AI threat landscape.
By utilizing Openclaw Skills, users gain access to a structured response system that prioritizes immediate financial damage control followed by long-term identity recovery. The skill integrates global reporting procedures and real-time verification protocols, ensuring that individuals and organizations can validate the authenticity of digital communications before falling victim to costly fraudulent schemes.
To install this skill on your AI agent, use the following command via the Openclaw Skills hub:
npx clawhub install howtousehumans/ai-scam-defense
The skill manages persistent state to track scam encounters and recovery progress. It organizes data into the following taxonomy:
| Data Object | Description |
|---|---|
defense |
Stores scam type, date, amount lost, and evidence status. |
recovery_actions |
Tracks status of credit freezes, FTC reports, and police report numbers. |
prevention |
Monitors if family safe words are set and MFA is enabled. |
evidence |
A log of screenshots, URLs, and communication timelines saved to the filesystem. |
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