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Developer Tools

Hyperliquid Prime skill for OpenClaw

⬇ 2.4K downloads ★ 2 stars Version 0.1.4 Rank #5700 of 10,000+

What this skill does

Trade on Hyperliquid's perp markets (native + HIP-3) with intelligent order routing and cross-market splitting. Use when the user wants to trade crypto, stocks, or commodities on Hyperliquid, get best execution across fragmented markets, split large orders across multiple venues, compare funding rates, view aggregated orderbooks, or manage positions across multiple collateral types. Routes across both native HL perps (ETH, BTC) and HIP-3 deployer markets. Handles collateral swaps (USDC→USDH/USDT0) automatically during execution when the best liquidity requires it.

The Hyperliquid Prime skill is part of the Developer Tools category — developer tools that help your agent write, review, debug, and ship code. You can install it on its own or alongside other developer tools skills from the OpenClaw catalog.

The Hyperliquid Prime skill is ranked #5700 by downloads in the OpenClaw skill catalog (2.4K total downloads, 2 stars). It belongs to the Developer Tools category alongside 3540 other top-10000 skills.

How to install the Hyperliquid Prime skill

The easiest path is via the OpenClaw Easy desktop app — one click, no terminal required:

  1. Download OpenClaw Easy for macOS or Windows (free, one-click installer, ~30 seconds).
  2. Open the in-app Skills panel.
  3. Search for hyperliquid-prime and click Install.
  4. The skill activates automatically when an incoming message matches its description.

Install from the command line

If you already run the OpenClaw CLI, add the Hyperliquid Prime skill with a single command:

openclaw skills add hyperliquid-prime

This pulls hyperliquid-prime from ClawHub and installs it into ~/.openclaw/skills/hyperliquid-prime/. Restart the OpenClaw gateway afterwards so the new skill is discovered.

How to use the Hyperliquid Prime skill

Once installed, the Hyperliquid Prime skill activates on its own: when an incoming message on WhatsApp, Telegram, Slack, Discord, Feishu or Line matches the skill's description, your OpenClaw agent loads it and runs the workflow. You can also trigger it explicitly by describing the task in chat. No extra configuration is required after install.

Manual install (advanced)

If you prefer manual installation:

  1. Click the Download skill .zip button above to grab hyperliquid-prime-0.1.4.zip directly from our S3 mirror.
  2. Unzip into ~/.openclaw/skills/hyperliquid-prime/ (create the directory if it does not exist).
  3. Restart OpenClaw Easy (or the OpenClaw CLI gateway) so the new skill is discovered.

Frequently asked questions

How do I install Hyperliquid Prime?

Install Hyperliquid Prime in the OpenClaw Easy desktop app by opening the Skills panel, searching for hyperliquid-prime, and clicking Install. From a terminal you can run: openclaw skills add hyperliquid-prime. Either way the skill is placed in ~/.openclaw/skills/hyperliquid-prime/.

Is the Hyperliquid Prime skill free?

Yes. It is free to download and run through ClawHub, with no account or payment required. Each skill is published by its own author under its own licence — see its ClawHub page for the licence and source.

What does Hyperliquid Prime do?

Trade on Hyperliquid's perp markets (native + HIP-3) with intelligent order routing and cross-market splitting.

Related: more developer tools skills

If the Hyperliquid Prime skill looks useful, you may also want to check out other developer tools skills in the OpenClaw catalog:

Skills in this catalog are community-contributed integrations published on ClawHub and distributed under their own open-source licences. Product and company names, and any third-party service a skill connects to, are trademarks of their respective owners; a listing here does not imply affiliation with, sponsorship by, or endorsement from them. This page does not distribute any third-party application. Rights holders can reach us at hello@openclaw-easy.com.

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Free, open-source · Apache-2.0 · Works with Claude, ChatGPT, Gemini, or local Ollama models