A rule-based financial analysis tool that evaluates US stocks using strict profitability, leverage, and moat criteria.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install us-value-investing-framework
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 us-value-investing-framework using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The US Value Investing Framework is a specialized analysis tool designed to automate fundamental research for US-listed companies. By applying deterministic logic to historical financial data, this Openclaw Skills resource helps investors identify high-quality businesses that meet specific benchmarks for profitability and financial health. The skill bridges the gap between raw SEC filings and actionable intelligence by providing a clear investment rating from A to D.
Built for both efficiency and depth, the framework supports bilingual output in English and Chinese, making it an ideal choice for global investment teams. It focuses on the core pillars of value investing: consistent Return on Equity (ROE), low debt levels, efficient cash conversion, and the existence of a competitive moat.
To deploy this valuation model, ensure you have Python 3 installed. Use the following commands to run the evaluator with your specific company data:
python3 scripts/evaluate_company.py \
--input references/input-template.json \
--out .state/eval.json \
--markdown .state/eval.md
The skill relies on a structured input template to ensure accurate calculations. The data is organized as follows:
| Attribute | Requirement | Description |
|---|---|---|
| ROE | > 15% | Required for at least 3 consecutive years |
| Debt Ratio | < 50% | Maximum allowable leverage for a passing score |
| Cash Conversion | > 80% | Free cash flow must exceed 80% of net income |
| Moat | Qualitative | Brand, network effect, or cost advantage assessment |
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