A streamlined financial research tool that provides 3-year fundamental snapshots and valuation checks for US-listed equities.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install us-stock-analysis-lite
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 us-stock-analysis-lite 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 US Stock Analysis Lite?
US Stock Analysis Lite is a specialized tool designed to provide AI agents with a high-speed, data-driven perspective on any US-listed company. By leveraging this skill from the Openclaw Skills library, users can instantly access core financial metrics including revenue trends, earnings growth, and margin snapshots. It is built to serve as a first-pass research layer, filtering out market hype to focus on the essential numbers that define a company's financial health.
This skill synthesizes information from primary sources such as SEC filings and real-time financial data to produce a structured analysis. Whether you are a developer building a fintech bot or a researcher needing quick equity summaries, this addition to your Openclaw Skills setup ensures you have a professional-grade business snapshot and valuation read in seconds without the complexity of full-scale modeling.
US Stock Analysis Lite Use Cases
- Performing a quick fundamental health check on tickers like AAPL, NVDA, or TSLA.
- Evaluating stock valuation multiples relative to sector averages and historical trends.
- Identifying financial red flags such as shrinking margins or high debt-to-EBITDA ratios.
- Generating a concise business model and competitive position summary for any US equity.
How US Stock Analysis Lite Works
- The user provides a ticker symbol or company name to the AI agent.
- The skill triggers web search and fetch tools to gather 3 years of income statement and balance sheet data.
- It calculates key performance indicators including gross, operating, and net margins.
- Valuation multiples such as Forward P/E, EV/EBITDA, and PEG ratios are extracted and compared to sector context.
- The skill analyzes balance sheet health by calculating interest coverage and cash runway.
- A structured Markdown report is generated, providing a concise summary and an honest 'Quick Take' on the stock.
US Stock Analysis Lite Setup
To deploy this skill within your environment, ensure your AI agent has access to the required search and fetch tools. You can add this to your Openclaw Skills configuration using the following steps:
# Install the Openclaw CLI
npm install -g openclaw-cli
# Add the US Stock Analysis Lite skill to your agent
openclaw add us-stock-analysis-lite
Configure your environment variables to allow the agent to access financial data providers and ensure the tools list includes web_search and web_fetch to maximize the effectiveness of Openclaw Skills.
US Stock Analysis Lite Data Schema & Taxonomy
The skill organizes financial data into a structured taxonomy for consistent reporting. Below is how Openclaw Skills classifies the extracted data:
| Data Category | Key Fields | Purpose |
|---|---|---|
| Business Identity | Ticker, Market Cap, Revenue Model | Establishes the company's core business and size. |
| Financial Performance | 3-Year Revenue, Margins, EPS | Visualizes growth trends and profitability trajectory. |
| Valuation Metrics | Forward P/E, EV/EBITDA, PEG Ratio | Benchmarks price against earnings and growth potential. |
| Solvency & Health | Net Debt/EBITDA, Interest Coverage | Identifies leverage risks and liquidity status. |
| Risk Assessment | Market Risks, Competitive Threats | Highlights qualitative barriers to success. |
US Stock Analysis Lite Advanced Features
- Intelligent red flag detection for diverging earnings and operating income trends.
- Growth-adjusted valuation checks using the PEG ratio for deeper insights into high-growth stocks.
- Multi-source data synthesis prioritizing official SEC filings for accuracy within Openclaw Skills.
- Automated competitive position signaling (Leader, Challenger, or Niche) based on market share and pricing power.
- Seamless integration into multi-agent workflows for comprehensive market sector analysis.
SKILL.md
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