A powerful payment integration skill that enables AI agents to manage transactions, payment requests, and financial reporting via the Tomato pay API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tomato-pay
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 tomato-pay 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 Tomato pay?
The Tomato pay skill for Openclaw Skills empowers AI agents to interact directly with the Tomato pay ecosystem, facilitating seamless peer-to-peer and business transactions. By leveraging the Membrane framework, this skill removes the complexity of manual authentication and credential management, allowing developers to focus on building robust financial automation logic.
Whether you are managing merchant accounts, processing refunds, or generating detailed financial reports, this skill provides a standardized interface for financial operations. It bridges the gap between AI reasoning and execution, making it an essential component of the Openclaw Skills library for any developer working on fintech or e-commerce automation.
Tomato pay Use Cases
- Automating the creation of payment requests for small business invoicing.
- Processing and tracking customer refunds programmatically through AI-driven logic.
- Generating merchant reports and auditing transaction history for financial reconciliation.
- Integrating real-time payment status checks into customer support or internal operations dashboards.
- Coordinating complex financial workflows that require network access and secure credential handling.
How Tomato pay Works
- The AI agent initiates a connection to Tomato pay using the Membrane CLI to handle secure OAuth or API key handshakes.
- The Openclaw Skills environment verifies the connection state, ensuring the agent is authorized to perform financial actions.
- The agent searches for specific actions (like creating a payment request) using natural language intent discovery.
- Parameters are passed to the identified action, which Membrane executes against the Tomato pay API.
- The skill returns structured JSON output back to the agent for further processing or user notification.
Tomato pay Setup
First, install the Membrane CLI to manage your Openclaw Skills:
npm install -g @membranehq/cli@latest
Authenticate your agent environment:
membrane login --tenant --clientName=openclaw
Ensure a connection to the Tomato pay service:
membrane connection ensure "https://www.tomatopay.co.uk/" --json
If the connection state is BUILDING, wait for it to reach READY:
membrane connection get <id> --wait --json
Tomato pay Data Schema & Taxonomy
The skill organizes financial data into logical entities managed via structured JSON objects. Below are the primary data categories:
| Entity | Description | Key Metadata |
|---|---|---|
| Payment Request | Details for a pending transaction | Amount, Currency, Customer Info |
| Transaction | Record of a completed payment | Status, Timestamp, Reference ID |
| Merchant | Profile of the business entity | Account ID, Verified Status |
| Refund | Details on reversed transactions | Original ID, Reason, Amount |
| Report | Aggregated financial data | Date Range, Total Volume |
Tomato pay Advanced Features
- Natural Language Intent Discovery: Use the action list command to find the right tool for any financial task without manual API mapping.
- Automatic Credential Refresh: Membrane manages token lifecycles server-side, ensuring your Openclaw Skills never fail due to expired sessions.
- Direct Proxy Access: Execute raw API requests to any Tomato pay endpoint while still benefiting from automated header injection.
- Multi-Agent Compatibility: Tailor the skill performance for different environments like Claude, Windsurf, or Openclaw using specific agent type flags.
- Long-polling State Management: Built-in support for waiting on asynchronous connection tasks and client actions.
SKILL.md
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