An AI-driven monitoring agent that tracks wallet balances, ERC-20 transfers, and potential security risks on the Ethereum blockchain.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agent-onchain-watch
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 agent-onchain-watch using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
OnchainWatch Agent is a specialized technical tool designed to provide deep visibility into blockchain activities. By integrating directly with the Etherscan API, it enables developers and analysts to automate the surveillance of specific wallet addresses and smart contracts. As a robust addition to the Openclaw Skills ecosystem, it transforms raw transaction data into human-readable summaries, making it easier to track asset flows and maintain security over digital assets.
This skill is particularly valuable for those needing to maintain constant oversight of high-value wallets or suspicious contract interactions without manual scanning. It bridges the gap between complex blockchain protocols and actionable intelligence by synthesizing data into structured reports.
To deploy OnchainWatch within your Openclaw Skills environment, follow these installation and configuration steps:
# Installation via CLI
openclaw install onchain-watch
{
"address": "0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045",
"chain": "ethereum"
}
The agent produces structured data that categorizes blockchain activity for easy consumption. The data taxonomy is organized as follows:
| Data Point | Description |
|---|---|
address |
The specific Ethereum wallet or contract being monitored. |
chain |
The target blockchain network (e.g., Ethereum). |
eth_balance |
The real-time balance of Ether held in the account. |
token_transfers |
A detailed list of ERC-20 token movements including timestamps and amounts. |
risk_analysis |
Boolean flags and descriptions for any detected anomalies or high-value risks. |
report_summary |
A Markdown-formatted string summarizing the entire audit findings. |
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