Automate the identification and comparison of overseas benchmark companies for Chinese A-share listed stocks to evaluate global competitiveness.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install a-share-global-peer
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 a-share-global-peer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The A-Share Global Peer Matching Tool is a professional-grade utility designed for financial analysts and investors to bridge the gap between the Chinese market and global benchmarks. By leveraging Openclaw Skills, this agent analyzes the product matrices and revenue breakdowns of A-share companies to identify direct competitors or analogous peers in international markets like the US, Europe, and Japan. This ensures users can perform rigorous competitive benchmarking even for uniquely regional products or specialized high-tech sectors.
The tool prioritizes publicly listed entities to ensure data transparency and provides a structured comparison report. It intelligently handles complex scenarios, such as when an A-share company is already a global leader or operates a highly diversified business model, ensuring the output is always contextually relevant, technically accurate, and backed by verifiable data sources.
To set up this skill, ensure you have the required environment variables configured for optimal data quality. This skill is part of the Openclaw Skills ecosystem and supports flexible fallbacks.
# Optional: Set your Tushare token for structured A-share data
export TUSHARE_TOKEN='your_tushare_api_token'
# Optional: Set Brave API key for web search capabilities
export BRAVE_API_KEY='your_brave_api_key'
# Usage example via script
python3 scripts/get_company_products.py --company "600519" --output json
The skill organizes financial and competitive data into a structured format for comparison. This Openclaw Skills utility follows a strict metadata taxonomy:
| Data Category | Attributes Collected | Data Source Labels |
|---|---|---|
| A-Share Profile | Main products, revenue %, industry class | iFinD, Tushare, or Web Search |
| Global Peer Info | Company name, stock code, exchange | Web Search (US, EU, JP, KR) |
| Market Metrics | Global market share, gross margin, revenue | Web Search (YYYY-MM-DD) |
| Benchmark Logic | Direct match or Analogy explanation | Manual/LLM Logic |
| Uncertainty | Confidence level and missing data notes | Label: 推测数据,需验证 |
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