A high-performance, database-first security tool for identifying cryptocurrency scams and malicious addresses instantly.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install crypto-address-checker
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 crypto-address-checker using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Crypto Scam Detector is a sophisticated security extension designed to safeguard users from the complex world of Web3 fraud. By utilizing a database-first architecture, this Openclaw Skills contribution provides near-instantaneous risk assessment for Ethereum addresses without the latency of real-time API calls. It identifies common threats such as phishing attempts, honeypot contracts, rug pulls, and Ponzi schemes by analyzing transaction patterns and decoding hex data for suspicious keywords.
This tool is essential for developers and traders who need to verify counterparty addresses before executing transactions. With its background synchronization worker, the skill maintains a fresh local repository of scam indicators, ensuring that users of Openclaw Skills have access to the latest security intelligence while maintaining privacy and avoiding Etherscan rate limits.
To get started with this skill within the Openclaw Skills ecosystem, follow these steps:
cd ~/.openclaw/workspace/skills/crypto-scam-detector
bash install.sh
./setup.sh
export ETHERSCAN_API_KEY="your_key_here"
The skill organizes data into a local SQLite database located at ~/.config/crypto-scam-detector/crypto_data.db. The schema includes the following tables:
| Table | Description |
|---|---|
| addresses | Stores address metadata, risk scores, balances, and timestamps. |
| transactions | Contains records of suspicious transactions and decoded hex messages. |
| scam_indicators | Catalogs specific red flags and keyword matches per address. |
| sync_queue | Manages the list of addresses pending background synchronization. |
Risk levels are categorized from Low Risk (0-19) to Critical Risk (80-100) based on factors like account age, unverified contract code, and suspicious transaction keywords.
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A high-performance, database-first security tool for Openclaw Skills that provides instant detection of cryptocurrency scams and malicious blockchain addresses.








































