Hypergrok Trading Desk

HyperGrok

Grok Bot for Hyperliquid. Seven agents, one writer, your approval.

Works in Grok Bot · Claude Code · Cursor · Codex · Gemini CLI · Grok Build

HyperGrok is an open-source Hyperliquid trading desk for AI agents: seven role profiles and seventeen agent skills for research, risk, execution and review. It runs in Grok Bot and installs as a plugin in Claude Code, Cursor, Codex, Gemini CLI and Grok Build. It starts read-only on public market data; trading needs your own API wallet and a ticket you approve.

Try it now, no keys

git clone --depth 1 --branch v1.6.1 https://github.com/galleonlabs/hypergrok-trading-desk.git
cd hypergrok-trading-desk
python3 scripts/opening_bell.py --coin ETH

A live ETH snapshot from Hyperliquid's public /info endpoint: price, funding, open interest, spread and depth. It needs no wallet, account or key, and runs on Python 3's standard library.

Start

The Desk Lead in Grok Bot opens with the same zero-key market snapshot, builds research, risk, execution and review as separate agents, then proves the floor is ready. Open Grok Bot and paste this to a Bot:

Set up the HyperGrok trading desk from https://github.com/galleonlabs/hypergrok-trading-desk/blob/v1.6.1/skills/hypergrok-bootstrap/SKILL.md. Follow the bootstrap skill, use https://github.com/galleonlabs/hypergrok-trading-desk/blob/v1.6.1/SETUP.md for the complete runbook, and finish with its evidence receipt.

Or add the public HyperGrok Desk Lead template, then send Start the desk. Its v1.6.1 bootstrap installs the complete seventeen-skill release and verifies native role and skill instructions. Publication evidence is recorded separately.

The desk starts in research mode. The first demo uses only Hyperliquid's public /info endpoint: no wallet, account read or order. Add a testnet API wallet when you want to practise with play money, and a mainnet one when you are ready.

Opening Bell

The first thing the Desk Lead shows is that snapshot: live market output, not a configuration form. It reports source and UTC time, mid/mark/oracle, 24-hour change and volume, hourly funding, open interest, spread and depth at 5/10/25 bps. Twenty book levels stop a few bps from the mid on a liquid perp, so it re-reads the book at a coarser nSigFigs page until each band is measured, names the page every figure came from, and still marks a band no page reaches as a floor rather than a total. scripts/desk_doctor.py then checks the release, team files, the reviewed skill bytes, desk folders and public connectivity. Both are read-only and standard-library Python.

For automated reads, inspect --schema without touching the network, then use --json. Success and errors have a versioned contract; a failed read remains unavailable, and incomplete depth and doctor warnings retain their meaning. Snapshots accept canonical mixed-case coins and explicit HIP-3 markets:

python3 scripts/opening_bell.py --schema
python3 scripts/opening_bell.py --coin xyz:TSLA --json
python3 scripts/desk_doctor.py --offline --json

--testnet explicitly selects testnet. A custom API origin is labelled custom. HIP-3 discovery stays read-only; execution remains opt-in under the desk's normal ticket rules.

History you can check

Before a backtest, collect the exact period into a research bundle: