hyperliquid-advanced

hyperliquid-advanced is a skill for Claude Code from galleonlabs/hypergrok-trading-desk. It costs 105 tokens per session (2,294 once invoked), scanned A, original, MIT.

A guide to less common actions on Hyperliquid, a cryptocurrency trading exchange. It covers scheduled order cancellation, TWAP orders, spot orders, API wallets, sub-accounts, vaults, and certain decentralized exchanges.

In plain words
What is it for?
Use it when implementing or reviewing advanced Hyperliquid trading actions such as dead-man's switches, TWAPs, spot orders, nonces, wallet approval, or sub-account and vault addressing.
Why use it?
It explains special trading rules and important limits, including cases where cancelling orders could leave an open position without protection.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the hypergrok plugin — 17 skills, 7 agents shipped together

Good fit Use it when implementing or reviewing advanced Hyperliquid trading actions such as dead-man's switches, TWAPs, spot orders, nonces, wallet approval, or sub-account and vault addressing.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/galleonlabs/hypergrok-trading-desk/hyperliquid-advanced
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add galleonlabs/hypergrok-trading-desk --skill hyperliquid-advanced
Clone the repo
git clone --depth 1 https://github.com/galleonlabs/hypergrok-trading-desk

Made for: Claude Code.

Or install hypergrok, the plugin that ships this one along with the rest of its 17 skills, 7 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for hyperliquid-advanced

README.md
[![agentmods](https://agentmods.dev/badge/skills/galleonlabs/hypergrok-trading-desk/hyperliquid-advanced/github.svg)](https://agentmods.dev/skills/galleonlabs/hypergrok-trading-desk/hyperliquid-advanced)
Your own site
<a href="https://agentmods.dev/skills/galleonlabs/hypergrok-trading-desk/hyperliquid-advanced"><img src="https://agentmods.dev/badge/skills/galleonlabs/hypergrok-trading-desk/hyperliquid-advanced/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for hyperliquid-advanced

Your own site · 80×15
<a href="https://agentmods.dev/skills/galleonlabs/hypergrok-trading-desk/hyperliquid-advanced"><img src="https://agentmods.dev/badge/skills/galleonlabs/hypergrok-trading-desk/hyperliquid-advanced.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,294 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00105 $0.02294
Opus 5 $0.00053 $0.01147
Sonnet 5 $0.00021 $0.00459
Haiku 4.5 $0.00011 $0.00229

Measured 11d ago against content hash bd417f10d01b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

hyperliquid-advanced scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/hyperliquid-advanced/SKILL.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Hyperliquid advanced actions

Uses the same header as hyperliquid-orders (info, exchange, ACCOUNT, round_px, round_sz, new_cloid). Everything that signs is Execution Trader only, on a ticket.

Dead-man's switch (scheduleCancel)

Tells the exchange to cancel all of the account's open orders at a future time unless you push the time out or clear it. Useful when the desk runs a watch that could die while resting orders sit on the book. The user asks for it explicitly; the report states the time.

from hyperliquid.utils.signing import get_timestamp_ms
res = exchange.schedule_cancel(get_timestamp_ms() + 10 * 60 * 1000)   # 10 minutes out; must be >= 5 s in the future
res = exchange.schedule_cancel(None)                                    # clear it

TypeScript: await exchange.scheduleCancel({ time: Date.now() + 600_000 }); omit time to clear. Limits: at most 10 triggers per day per account (resets 00:00 UTC).

It cancels protective stops too, and it is not position-aware. If it fires while a position is open, that position is left naked on the exchange and nothing re-arms it automatically. So: it is for a desk with resting orders and no position, or for a user who has explicitly accepted that outcome for this account. Do not arm it as routine hygiene while a position is open. If it does fire with a position open, that is an unprotected position the moment it lands - declare it and run playbook D in desk-incident-response at priority, rather than treating re-arming as clean-up.

TWAP

Splits a size into slices at fixed intervals (30 seconds minimum) over m minutes: 5 minutes to 7 days per the docs, though the TypeScript SDK's schema caps m at 1440 (24 hours), so longer runs need the raw action. Minimum 100 USD total; each slice capped at 3% slippage; t: true randomises slice sizes by up to 20%. Not in the Python SDK's high-level Exchange; use TypeScript or the raw action.

const twap = await exchange.twapOrder({ twap: { a, b: true, s: "10", r: false, m: 30, t: true } });
const twapId = (twap.response.data.status as { running: { twapId: number } }).running.twapId;
await exchange.twapCancel({ a, t: twapId });

Read the full file on GitHub · 112 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 112 lines · 105 tokens per session scan A bd417f10d01b

Subscribe to this mod's changes

hyperliquid-advanced is a skill published in the GitHub repository galleonlabs/hypergrok-trading-desk (60 stars, last pushed yesterday), licensed MIT. It adds 105 tokens to every session and 2,294 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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