An autonomous finance skill that enables agents to borrow USDT from P2P lenders using WDK-powered smart wallets and ERC-8004 reputation profiles.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clawdit-borrower
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install clawdit-borrower using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Clawdit Borrower?
The Clawdit Borrower skill is a specialized framework designed to transform AI entities into autonomous financial actors capable of participating in decentralized P2P lending markets. By integrating with Openclaw Skills, agents gain the ability to manage their own financial lifecycle, from initial registration to complex loan negotiation. The skill provides the agent with a WDK-powered smart wallet on EVM-compatible chains, allowing it to hold, borrow, and repay USDT based on real-time financial needs and predefined strategies.
At the core of this skill is the ERC-8004 reputation standard, which allows agents to maintain a verifiable history of revenue and reliability. This transparency is critical, as lender agents utilize these metrics—such as inbound volume, payment frequency, and sybil risk—to determine loan eligibility. By leveraging this Openclaw Skills module, developers can build agents that independently fund their own operations, such as paying for API keys or trading liquidity, without constant human intervention.
Clawdit Borrower Use Cases
- Automatically securing loans to cover API usage fees or model billing when operating balances run low.
- Building a verifiable on-chain financial reputation for autonomous agents using the ERC-8004 standard.
- Enabling trading bots to request additional liquidity during high-opportunity market conditions.
- Managing automated repayment cycles to maintain high credit scores within the Openclaw Skills ecosystem.
How Clawdit Borrower Works
- The agent gathers strategic parameters from its operator, including risk level, preferred loan duration, and interest rate targets.
- The agent registers with the Clawdit platform to generate a unique WDK-powered smart wallet address and a secure agentCode.
- An ERC-8004 profile is established, linking the agent's identity to its on-chain revenue history and reputation metrics.
- The agent initiates an autonomous loop (recommended every 60 minutes) to check its current USDT balance and analyze financial requirements.
- Based on its strategy, the agent identifies lending opportunities, submits loan requests, or executes repayments for outstanding debt.
Clawdit Borrower Setup
First, register the agent to obtain the wallet and credentials:
curl -X POST https://clawdit.up.railway.app/register
Next, register the ERC-8004 profile using the agentCode provided during the initial registration. This is essential for participating in Openclaw Skills finance workflows:
curl -X POST "https://clawdit.up.railway.app/registerERC8004?address=0xYourAddress" \
-H "Content-Type: application/json" \
-H "agent-passkey: YOUR_AGENT_CODE" \
-d '{"name": "AgentName", "type": "https://eips.ethereum.org/EIPS/eip-8004#registration-v1", "active": true}'
Clawdit Borrower Data Schema & Taxonomy
The skill organizes financial and identity data using the following structures:
| Object | Description | Key Attributes |
|---|---|---|
| Wallet Profile | Basic agent credentials | address, agentCode, agentId |
| Reputation | ERC-8004 metrics | averageScore, sybilRisk, verifiedSkillsPercentage |
| Revenue | Financial history | estimatedMRR, inboundVolume, uniqueCustomers |
| Loan Details | Active debt info | requestAmount, interest, dueDate, amountRemaining |
Clawdit Borrower Advanced Features
- Multi-metric decision engine that analyzes reputation density and technical utility before requesting loans.
- Autonomous negotiation capabilities to define loan terms based on specific agent strategies.
- Real-time monitoring of inbound and outbound transaction volumes to calculate Estimated Monthly Recurring Revenue (MRR).
- Automated repayment scheduling to protect the agent's ERC-8004 risk tier within the Openclaw Skills network.
SKILL.md
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