A high-performance skill for fetching real-time market data and stock quotes optimized for AI agents and LLM token efficiency.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install stock-prices
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 stock-prices 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 Stock Prices?
The Stock Prices skill enables developers and AI agents to query live market data for thousands of ticker symbols including tech giants like NVDA, AAPL, and GOOGL. It is a standout component of the Openclaw Skills library because it utilizes the TOON (Token-Oriented Object Notation) format, which uses approximately 40% fewer tokens than standard JSON, making it the perfect choice for streaming financial data into Large Language Models.
This skill provides comprehensive data points, from current trading prices and percentage changes to pre-market activity and daily highs/lows. By optimizing the data payload for machine readability and efficiency, it ensures faster response times and lower operational costs for financial AI applications.
Stock Prices Use Cases
- Real-time price monitoring for stock portfolios and watchlists.
- Automated financial analysis and market summary generation for AI agents.
- Tracking pre-market and after-hours trading trends for major tech stocks.
- Efficiently feeding live market data into LLM prompts using the compact TOON format.
How Stock Prices Works
- The user or agent initiates a request with a comma-separated list of stock symbols (up to 50 per call).
- The skill queries the Stock Prices API via the dedicated quotes endpoint.
- The API generates a response in the TOON format, significantly reducing the character count for transport.
- The response is decoded using the @toon-format/toon library to provide a standard JavaScript object structure for further logic or display.
Stock Prices Setup
To integrate this capability from the Openclaw Skills collection, you can test the API directly using CLI tools:
curl "https://stock-prices.on99.app/quotes?symbols=NVDA,AAPL"
To handle the data in a Node.js or TypeScript environment, install the required decoder:
pnpm add @toon-format/toon
Stock Prices Data Schema & Taxonomy
The skill returns an object containing an array of quotes with the following metadata taxonomy:
| Field | Type | Description |
|---|---|---|
symbol |
string | The ticker symbol of the security. |
currentPrice |
number | The most recent trading price. |
percentChange |
number | The percentage fluctuation since previous close. |
preMarketPrice |
number | Trading price during pre-market sessions. |
preMarketTime |
string | ISO 8601 timestamp for pre-market data. |
highPrice / lowPrice |
number | The intraday price extremes. |
Stock Prices Advanced Features
- TOON Format Integration: Native support for Token-Oriented Object Notation to maximize efficiency within the Openclaw Skills framework.
- Batch Symbol Support: Query up to 50 distinct ticker symbols in a single network request.
- Extended Hours Data: Access to pre-market change metrics and timestamps for early-day strategy execution.
- Developer-First Tooling: Easy decoding to standard JSON/JavaScript objects via a lightweight npm package.
SKILL.md
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