A strategic tool for interpreting blockchain data to identify patterns, anomalies, and fund flows with data-backed evidence.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install onchain-analysis
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 onchain-analysis using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Onchain Analysis skill empowers AI agents to perform deep-dive investigations into blockchain activity. By leveraging this tool within the Openclaw Skills ecosystem, developers can automate the detection of suspicious wallet behavior and analyze complex contract interactions. It moves beyond simple data retrieval by synthesizing raw transaction histories into actionable risk signals and strategic insights.
This skill is designed for high-stakes environments where understanding the movement of digital assets is critical. Whether monitoring protocol health or tracing insider movements, Onchain Analysis provides a structured framework for data-backed evidence and hypothesis testing, ensuring that every conclusion is rooted in verifiable blockchain records.
To integrate this capability into your AI agent, ensure you have a compatible runtime for Openclaw Skills. You will need access to blockchain data providers or RPC nodes for the specific chains you wish to analyze.
# Example of adding the onchain-analysis skill to your workspace
openclaw add onchain-analysis
Configure your environment variables with the necessary API keys for transaction indexing services to ensure the skill can fetch the required wallet and contract data.
The skill organizes its analysis using a structured schema to ensure clarity between facts and hypotheses:
| Attribute | Description | Requirement |
|---|---|---|
transactions |
List of transaction IDs or hashes to be analyzed | Required |
wallet_data |
Address labels, balances, and known entities | Optional |
contract_data |
Contract address, ABI, and known roles | Optional |
chain |
The specific blockchain and timeframe for analysis | Optional |
insights |
Synthesized patterns and facts derived from the data | Output |
risk_signals |
Indicators of suspicious or high-risk activity | Output |
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