A specialized skill for querying Nasdaq public market APIs and stock screener data via optimized scripts and documentation.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install nasdaq-public
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 nasdaq-public using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Nasdaq API skill provides a structured interface for AI agents and developers to interact with Nasdaq public data endpoints. By leveraging this Openclaw Skills component, users can bypass the complexity of raw API requests and instead use pre-configured bash scripts designed for reliability and consistency. It serves as a bridge for fetching stock-universe data, symbol lists, and detailed market information directly into your development workflow.
This skill is particularly valuable for those building financial tools or data pipelines that require up-to-date information from the Nasdaq screener. It includes dedicated reference material to ground API decisions in official Nasdaq Data Link standards, ensuring that users follow best practices for authentication, rate limiting, and data types while using Openclaw Skills.
To begin using this skill within the Openclaw Skills framework, ensure your environment has curl and jq installed, then set the script permissions:
chmod +x scripts/nasdaq-screener.sh
# Test the connection
./scripts/nasdaq-screener.sh --limit 10 --format symbols
| Resource | Description |
|---|---|
| scripts/nasdaq-screener.sh | The primary CLI wrapper for the Nasdaq screener API endpoint. |
| references/api_docs.md | Detailed technical documentation regarding official Nasdaq public APIs. |
| agents/openai.yaml | Metadata used for skill display and prompt invocation by AI agents. |
| JSON Output | Standardized response containing a data.rows array for screener queries. |
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