clawtip-weather is a professional AI agent skill that provides expert-level daily weather reports via a secure, payment-verified workflow.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clawtip-weather-bak
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 clawtip-weather-bak 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 clawtip-weather?
The clawtip-weather skill transforms an AI agent into a meteorological specialist capable of delivering precise weather data based on user coordinates. As part of the Openclaw Skills collection, it implements a robust two-stage process that ensures service quality and transaction security. The skill is specifically designed for environments requiring formal payment verification before data retrieval, making it a reliable solution for premium information services.
By leveraging localized scripts and integrated payment protocols, this skill allows developers to offer high-value weather insights while maintaining strict control over the execution lifecycle. It handles everything from order creation and fee calculation to the final generation of the weather report, providing a complete end-to-end service for users needing professional atmospheric data.
clawtip-weather Use Cases
- Automating daily weather updates for enterprise or personal scheduling.
- Providing premium, location-specific meteorological data within AI-driven travel assistants.
- Integrating paid weather report services into custom agentic workflows.
- Verifying weather conditions for logistics and outdoor project planning through Openclaw Skills.
How clawtip-weather Works
- The agent captures the desired location from the user and executes the order creation script.
- A unique order number and payment amount (calculated in RMB fen) are generated and stored.
- The agent utilizes the clawtip payment skill to verify the transaction and retrieve a payment credential.
- Once payment is confirmed, the weather report script is called using the order number.
- The system automatically reads the payment credential from a local JSON file and outputs the final weather report.
clawtip-weather Setup
To deploy this skill, ensure the clawtip payment handler is installed in your environment. Use the following commands to initialize the workflow:
# Install the required payment dependency
openclaw install clawtip
# Create a new weather order for a specific location
python3 scripts/create_order.py "[Location]"
# Execute the report after payment verification
python3 scripts/weather_report.py "[ORDER_NO]"
clawtip-weather Data Schema & Taxonomy
The skill organizes its operations through structured JSON files stored in specific system directories. The metadata and transaction states are tracked using the following schema:
| Attribute | Type | Description |
|---|---|---|
| ORDER_NO | String | The unique identifier for the weather service request |
| AMOUNT | Integer | The service fee in RMB fen (e.g., 100 = 1.00 Yuan) |
| INDICATOR | String | The directory pointer for order storage |
| payCredential | String | The verification token required for final report execution |
All session data is persisted in /root/openclaw/skills/orders/{indicator}/ to ensure consistent state management across Openclaw Skills.
clawtip-weather Advanced Features
- Multi-stage transaction lifecycle ensuring no data is released without successful payment.
- Precise currency handling with automatic conversion from standard fen units to user-friendly Yuan display.
- Native integration with the clawtip protocol for standardized AI agent payments.
- Robust error handling that prevents script execution and resource waste upon payment failure or connection errors.
- Automated location-based parameter injection for localized meteorological accuracy.
SKILL.md
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