hyperliquid

Query Hyperliquid market data and account history via Python scripts.

Updated Jul 3, 2026
One-click install
npx skills add https://github.com/LynxLabVN/office-agent --skill hyperliquid-lynxlabvn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hyperliquid
Source: https://github.com/LynxLabVN/office-agent/tree/main/agent-core/optional-skills/blockchain/hyperliquid
Command: npx skills add https://github.com/LynxLabVN/office-agent --skill hyperliquid-lynxlabvn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, json, and includes scripts (resource) components.

What problem does it solve?

This Skill simplifies access to Hyperliquid market data and account history, enabling users to efficiently retrieve and analyze information without the need for manual data collection.

Core Features & Use Cases

  • Market Data: Access detailed market data for perpetual and spot markets, including candles, funding, and order books.
  • Account History: Retrieve account history, including positions, balances, fills, and orders.
  • Use Case: For traders looking to analyze their trading activity or gain insights into market trends, this Skill provides a streamlined way to access relevant data.

Quick Start

Use the hyperliquid skill to fetch market data for a specific coin, e.g., 'hyperliquid candles BTC'.

Frequently Asked Questions about hyperliquid

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I query Hyperliquid market data for perpetual and spot markets?

You can query Hyperliquid market data by executing Python scripts provided by the Skill, which retrieves detailed information like candles, funding, and order books for perpetual and spot markets.

Can I retrieve my Hyperliquid account history including positions and fills?

Yes, the Skill accesses the Hyperliquid API to retrieve account history, allowing you to pull specific data such as positions, balances, fills, and orders for auditing.

What do I need to access Hyperliquid API data using Python?

You need Python 3 installed along with the requests and json dependencies, plus the ability to execute Python scripts to run the Skill and fetch market data.

What is the best way to analyze Hyperliquid trading activity without manual data collection?

Using this Skill streamlines access to the Hyperliquid API, enabling you to efficiently retrieve and analyze market trends and trading activity data without manual collection.

Does this Skill support fetching Hyperliquid order book data for financial analysis?

Yes, the Skill supports fetching detailed market data including order books, which is suitable for financial analysis and developing trading strategies.

What are the limitations of using Python scripts to query Hyperliquid market data?

The Skill requires a Python 3 environment and script execution capabilities, meaning it is suited for users who can manage dependencies and run scripts rather than using a graphical interface.