Crypto Scam Detector for Openclaw

A high-performance, database-first security tool for Openclaw Skills that provides instant detection of cryptocurrency scams and malicious blockchain addresses.

princedoss77
v2.2.0
Feb 20, 2026
0
0
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install crypto-scam-detector

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 crypto-scam-detector 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 Crypto Scam Detector?

The Crypto Scam Detector is a sophisticated security extension built for Openclaw Skills, designed to protect users from the evolving landscape of Web3 fraud. By utilizing a database-first architecture, this skill eliminates the latency and rate-limiting issues common with standard blockchain scanners. It performs deep analysis on Ethereum addresses, checking for known phishing signatures, honeypot contract patterns, and suspicious transaction messages.

Unlike traditional tools that rely on live API calls during every query, this implementation for Openclaw Skills maintains a local SQLite database that synchronizes in the background. This ensures that users receive instant results (under 5ms) when verifying addresses for potential risks like rug pulls or Ponzi schemes. It is a critical utility for any developer or trader looking to integrate robust security checks into their automated workflows.

Crypto Scam Detector Use Cases

  • Verifying destination addresses before sending ETH or tokens to prevent accidental transfers to phishing sites.
  • Auditing smart contracts for honeypot characteristics or unverified code signatures.
  • Scanning transaction history for references to known hacking groups like Lazarus or Orbit Bridge.
  • Identifying social engineering attempts hidden within transaction hex data messages.
  • Maintaining a local repository of high-risk addresses for automated wallet monitoring within Openclaw Skills.

How Crypto Scam Detector Works

  1. The user provides a cryptocurrency address to the skill via a command or chat interface.
  2. The system queries the local SQLite database for an immediate risk score and analysis report.
  3. If the address exists in the database, the user receives an instant report including risk levels (0-100) and specific scam indicators.
  4. If the address is unknown, it is automatically added to a priority sync queue for the background worker.
  5. The background sync worker fetches data from Etherscan, decodes transaction hex data, and analyzes keywords to update the database for future queries.

Crypto Scam Detector Setup

To get started with this skill for Openclaw Skills, follow these installation and configuration steps:

# Navigate to your skills directory
cd ~/.openclaw/workspace/skills/crypto-scam-detector

# Run the automated installer
bash install.sh

# Configure your Etherscan API key using the encrypted setup wizard
./setup.sh

It is highly recommended to set up a cron job to keep your local database updated:

# Run the sync worker every 10 minutes via crontab
*/10 * * * * cd ~/.openclaw/workspace/skills/crypto-scam-detector && source venv/bin/activate && python3 sync_worker.py --max-jobs 30

Crypto Scam Detector Data Schema & Taxonomy

The skill organizes its security intelligence using a structured SQLite schema to ensure rapid lookups and detailed reporting within Openclaw Skills:

Table Description
addresses Stores core address metadata, balance info, and final risk scores.
transactions Archives suspicious transactions with decoded hex messages for deep analysis.
scam_indicators Catalogs specific red flags (e.g., 'phishing', 'Lazarus group') found for each address.
sync_queue Manages the pipeline of addresses pending full blockchain synchronization.

Crypto Scam Detector Advanced Features

  • Database-First Architecture: Eliminates Etherscan rate limits for end-user queries, providing near-instant responses.
  • Deep Transaction Analysis: Decodes hex data to detect hidden phishing links and exploit recruitment messages.
  • Encrypted Key Management: Uses AES-256 with PBKDF2 to store Etherscan API keys securely on your local machine.
  • Customizable Risk Scoring: Adjusts risk levels based on account age, transaction patterns, and contract verification status.
  • Flexible Worker Modes: Supports continuous background syncing or batch processing via CLI flags for high-volume environments.

SKILL.md


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