A specialized financial analysis skill for scraping and parsing stock concept and sector information from Tonghuashun (10jqka) F10 pages.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install 10jqka-concept
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 10jqka-concept 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 10jqka-concept?
The 10jqka-concept skill is a robust data extraction tool designed for the Openclaw Skills ecosystem, focusing on the Chinese A-share market. It programmatically accesses Tonghuashun's F10 financial pages to retrieve critical metadata regarding stock classifications. By leveraging this skill, developers and investors can identify which conceptual sectors a specific stock belongs to, such as AI, New Energy, or Semiconductors.
Built to handle the nuances of financial web scraping, the skill manages GBK encoding and specific HTML structures used by basic.10jqka.com.cn. It provides a bridge between raw web data and structured JSON, making it an essential component for Openclaw Skills users building automated trading research tools or financial dashboards.
10jqka-concept Use Cases
- Identifying the conceptual sectors and themes associated with a specific A-share stock code.
- Retrieving a full list of constituent stocks belonging to a particular market concept (e.g., Artificial Intelligence).
- Monitoring sector-wide market trends and price movements for specialized investment themes.
- Automating financial research workflows by integrating stock concept data into larger Openclaw Skills pipelines.
How 10jqka-concept Works
- The user provides an A-share stock code (e.g., 300059) as an input to the skill.
- The skill constructs a targeted URL pointing to the Tonghuashun F10 concept page.
- A request is dispatched with a custom User-Agent to bypass basic anti-scraping measures.
- The raw HTML response is decoded from GBK to UTF-8 to ensure character accuracy.
- BeautifulSoup parses the DOM to extract concept names and their corresponding detailed URLs from the #concept div.
- The data is structured into a clean JSON object for downstream consumption by other Openclaw Skills.
10jqka-concept Setup
To use this skill within your environment, ensure you have the necessary Python dependencies installed:
pip install requests beautifulsoup4 lxml
No API Key is required as the skill utilizes public web scraping on the basic.10jqka.com.cn domain. Ensure your execution environment has network access to Chinese financial domains.
10jqka-concept Data Schema & Taxonomy
The skill returns a structured JSON object containing stock identification and an array of concept objects:
| Field | Type | Description |
|---|---|---|
| stock_code | String | The 6-digit A-share identifier |
| stock_name | String | The Chinese name of the company |
| concepts | Array | List of concept objects containing name and url |
Example Output:
{
"stock_code": "300059",
"stock_name": "East Money",
"concepts": [
{ "name": "Brokerage", "url": "..." },
{ "name": "AI", "url": "..." }
]
}
10jqka-concept Advanced Features
- Multi-sector mapping: Automatically links stocks to broad indices like CSI 300 or CSI 500.
- Deep linking: Generates direct URLs to Tonghuashun's detailed quote pages for further technical analysis.
- Custom User-Agent Rotation: Supports header customization to maintain high reliability within the Openclaw Skills framework.
- Automated Encoding Correction: Built-in handling for GBK-to-UTF8 conversion to prevent data corruption in Chinese characters.
SKILL.md
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