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hyperliquid

Fetch Hyperliquid market data and account history from the public /info endpoint.

31|3|Updated May 7, 2026
Search Tags:#cli#market-data#data-normalization#hyperliquid#trade-review#account-history
One-click install
npx skills add https://github.com/markwang2658/hermes-windows-native --skill hyperliquid-markwang2658
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hyperliquid
Source: https://github.com/markwang2658/hermes-windows-native/tree/main/hermes-agent/optional-skills/blockchain/hyperliquid
Command: npx skills add https://github.com/markwang2658/hermes-windows-native --skill hyperliquid-markwang2658

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Hyperliquid data access and analysis across markets and wallets is streamlined via a read-only interface to public info endpoints, reducing manual data gathering.

Core Features & Use Cases

  • Fetch market lists, price candles, funding, L2 book data, and wallet state from Hyperliquid.
  • Generate comprehensive reviews by combining fills, orders, and market context for post-trade analysis.
  • Use in scenarios like quick market reconnaissance, portfolio checks, and reproducible data exports for backtesting.

Quick Start

Run the Hyperliquid client to fetch data for a given coin or market and generate a report.

Frequently Asked Questions about hyperliquid

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

FAQPage Schema
How do I fetch Hyperliquid market data and wallet trade history?▼

Fetch Hyperliquid market data and wallet trade history by running read-only queries against the public /info endpoint. The tool normalizes account fills, orders, and L2 book data into structured, JSON-ready output for analysis.

Can I pull Hyperliquid funding rates and price candles without an API key?▼

You can pull Hyperliquid funding rates and price candles without an API key. The skill requires only Python's standard library to perform read-only queries on public info endpoints across Linux, macOS, and Windows.

What is the best way to export Hyperliquid trade reviews for post-trade analysis?▼

Generate Hyperliquid trade reviews for post-trade analysis by combining fills, orders, and market context into normalized data. The export command produces structured JSON-ready output suitable for reproducible backtesting and reporting.

Does the Hyperliquid data query tool work on Windows?▼

The Hyperliquid data query tool works on Windows, macOS, and Linux. It normalizes fetched market lists, spot balances, and wallet state data across all three operating systems using only Python's built-in standard library.

How do I query Hyperliquid spot balances and L2 order book data?▼

Query Hyperliquid spot balances and L2 order book data using dedicated spot-balances and l2 commands. These read-only scripts fetch live exchange state from the public /info endpoint and return normalized, structured data for immediate analysis.

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