An AI-powered financial research tool that performs deep fundamental analysis of global companies and industries using Warren Buffett's investment framework.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install buffett-analysis
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 buffett-analysis using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Buffett Analysis skill is a sophisticated financial engine designed for AI coding agents to perform professional-grade fundamental research across A-share, Hong Kong, and US (NYSE/NASDAQ) markets. By integrating with the Openclaw Skills ecosystem, it automates the extraction of financial statements, valuation metrics, and management data, transforming raw numbers into structured investment reports.
This skill moves beyond simple data retrieval by applying the classic value investing methodology. It evaluates businesses through the lens of economic moats, high ROE sustainability, and earnings quality, ensuring that AI agents can provide institutional-level insights for individual stocks or entire industry sectors.
To deploy this skill within your AI agent environment, ensure you have Python 3 and the prerequisite market-specific Openclaw Skills installed.
# For A-share or Chinese market data collection
PATH="/home/node/.local/bin:$PATH" python3 scripts/fetch_company_data.py "Company Name or Code"
# For US market (NYSE/NASDAQ) data collection
python3 scripts/fetch_us_company_data.py TICKER
Ensure that the fintool MCP and us-market skill are configured to allow the agent to access real-time news and financial APIs.
The skill organizes its research into a standardized JSON schema within the Openclaw Skills framework to ensure interoperability.
| Component | Metadata Tracked |
|---|---|
| Industry | Market size, growth trajectory, and supply chain positioning |
| Moat | Gross margins (>40%), ROE (>15%), and technical barriers |
| Earnings | Operating cash flow to net profit ratio and Capex intensity |
| Health | Debt-to-asset ratios and liquidity coverage |
| Valuation | PE-TTM, PB, and Simplified DCF target price ranges |
| Catalysts | Timeline of key news events and future growth outlook |
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