A high-performance crypto news aggregator providing millisecond-level market updates and advanced coin-based filtering.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mov-toa
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 mov-toa using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The ToA Crypto News skill is a high-performance tool designed for traders and developers who require immediate access to the volatile cryptocurrency market. By leveraging the Tree of Alpha WebSocket, this skill delivers news with millisecond-level latency, ensuring you stay ahead of market-moving events. It is a vital addition to your collection of Openclaw Skills, offering deep integration with coin-specific metadata and full-text search capabilities.
Whether you are building automated trading bots or monitoring specific assets like Bitcoin and Ethereum, this skill provides a robust backend. It supports complex queries, including filtering by specific coin symbols and identifying news with high-impact signals, all while maintaining a 6551-compatible format for seamless interoperability.
To begin using this skill within your Openclaw Skills environment, ensure you have curl installed. You can verify the service status with a simple health check:
curl -s "https://web-production-666f44.up.railway.app/health"
To fetch the latest 10 news items, use the following command:
curl -s "https://web-production-666f44.up.railway.app/news?limit=10"
The skill returns a standardized JSON object containing the following key fields:
| Field | Description |
|---|---|
| id | Unique identifier for the news article. |
| body | The full content text of the news item. |
| coins | An array of objects containing the symbol and market type. |
| ts | Unix timestamp in milliseconds. |
| aiRating | Object containing pending AI analysis metrics like score and signal. |
| link | Direct URL to the original source. |
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