An advanced multi-chain wallet analyzer providing USD valuations, ENS resolution, and sophisticated bot detection for EVM networks.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install apechain-reader
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 apechain-reader using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
WalletLens is a robust multi-chain analysis tool designed to integrate seamlessly with Openclaw Skills workflows. It empowers developers and researchers to inspect wallet profiles, smart contracts, and NFT portfolios across eight major EVM networks, including ApeChain, Ethereum, and Base. By leveraging public RPC endpoints and optional API integrations, it provides deep on-chain insights without complex infrastructure requirements.
The core value of WalletLens within the ecosystem of Openclaw Skills lies in its ability to transform raw blockchain data into high-fidelity summaries and machine-parseable JSON. Whether you are performing due diligence on a specific address or investigating complex cross-chain transfer patterns, this skill offers the reliability and technical depth needed for professional-grade blockchain forensics and agent-based automation.
To utilize WalletLens, ensure you have Node.js (v16+) installed. This skill is designed to work out of the box with Openclaw Skills by using public RPC endpoints.
# Verify your Node.js environment
node --version
# Perform a basic wallet lookup on ApeChain
node scripts/wallet-lookup.js <address> --pretty
# Execute a cross-chain lookup on Ethereum
node scripts/wallet-lookup.js <address> --chain ethereum --pretty
No API keys are required for basic operations, though setting an optional ALCHEMY_API_KEY can enhance NFT collection name resolution.
WalletLens organizes data into structured JSON objects suitable for data pipelines. Key data points include:
| Property | Type | Description |
|---|---|---|
address |
String | Validated EVM wallet or contract address |
chain |
String | The network name (e.g., ApeChain, Base, Polygon) |
balance |
Object | Token balances mapped to their native symbols |
nftActivity |
Object | Tally of received and sent NFTs |
botScore |
Number | A behavioral score from 0-100 indicating automation probability |
explorer |
String | A direct URL to the relevant block explorer |
The output for bot detection includes a detailed breakdown of scoring factors such as wrapped token usage and fast-listing patterns.
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