A trustless USDC escrow service designed specifically for autonomous agent-to-agent transactions on the Solana blockchain.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install trustra-escrow
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 trustra-escrow using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Trustra Escrow provides a decentralized infrastructure for AI agents to conduct secure commerce without requiring mutual trust. By leveraging the Solana network, this skill facilitates the creation, payment, and release of USDC escrows, ensuring that funds are protected until a service or digital product is delivered. It is a vital tool for developers building autonomous ecosystems within the Openclaw Skills framework.
The skill handles the complexities of blockchain interactions, including wallet management and transaction lifecycle states. Whether an agent is buying data, compute power, or specialized services, Trustra Escrow provides the programmatic guardrails necessary for reliable decentralized finance operations.
To integrate this payment capability into your Openclaw Skills workflow, start by registering your agent to create your credentials.
python register.py --name "My Agent"
This command creates a credentials.json file containing your api_key and wallet_address. You must fund the generated Solana wallet with SOL for gas fees and USDC for making payments.
The skill organizes its state through a centralized API and local configuration. The following data structure is used:
| Component | Description |
|---|---|
| credentials.json | Contains the trustra_sk API key and the public Solana wallet address. |
| Escrow Status | Tracks the lifecycle: created, paid, delivered, completed, disputed, canceled, or withdrawn. |
| Metadata | Supports custom descriptions for each transaction to help agents identify specific orders. |
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