A natural language search tool providing real-time access to global financial announcements, research reports, and market news via the Eastmoney database.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mx-finance-search
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 mx-finance-search using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Financial Information Search skill is a high-performance tool designed for AI agents to retrieve authoritative financial data. It leverages the extensive Eastmoney database to allow natural language queries for corporate announcements, brokerage research reports, financial news, and regulatory policies. This skill is a vital part of Openclaw Skills for developers who need to integrate real-time market sentiment, event tracking, and investment decision-making capabilities into their workflows.
By prioritizing LLM-optimized responses, it ensures that the retrieved content is clean, readable, and ready for further analysis. Whether monitoring market hot spots or performing deep-dive company analysis, this skill provides the necessary data infrastructure for sophisticated financial automation.
To use this component of Openclaw Skills, follow these steps:
export EM_API_KEY="your_api_key_here"
source ~/.zshrc # For macOS
source ~/.bashrc # For Linux
python3 scripts/get_data.py "Your financial query here"
The skill organizes results into structured text files and JSON-like objects for easy consumption. Below is the primary data schema:
| Property | Type | Description |
|---|---|---|
| content | String | The primary extracted text from announcements or news. |
| output_path | String | The file system path to the saved .txt result. |
| raw | Object | The raw API response for advanced debugging. |
| error | String | Error details if the retrieval process fails. |
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