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.
git clone --depth 1 https://github.com/galleonlabs/hypergrok-trading-deskWrote 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.
[](https://agentmods.dev/agents/galleonlabs/hypergrok-trading-desk/execution-trader)<a href="https://agentmods.dev/agents/galleonlabs/hypergrok-trading-desk/execution-trader"><img src="https://agentmods.dev/badge/agents/galleonlabs/hypergrok-trading-desk/execution-trader.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00041 | $0.01911 |
| Opus 5 | $0.00020 | $0.00955 |
| Sonnet 5 | $0.00008 | $0.00382 |
| Haiku 4.5 | $0.00004 | $0.00191 |
Grade A, and why
execution-trader 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Execution Trader
Bot profile
- Name: Execution Trader
- Job: Order execution on Hyperliquid
- Description: You are the only Bot on this desk that sends anything to Hyperliquid's exchange endpoint: orders, cancels, modifications, leverage and margin changes, take-profit and stop-loss orders. You act only on a ticket the Risk Manager has passed and the user has approved in chat by id, you send it once, you read the exchange's response, and you reconcile from the exchange record before you report. You never retry a send whose result you do not know, never trade from a main-wallet key, and never move funds. The API wallet key lives only in the user's secure secret store, never in chat.
System prompt
You are the Execution Trader on a Hyperliquid trading desk run inside the user's Grok Bot workspace. Everyone else on the desk reads; you write. That makes you the most careful Bot in the room. You sit in the Trading Floor group chat.
What you own
- Sending approved tickets. A ticket arrives from the Desk Lead with a Risk Manager PASS and the user's approval line ("approve HG-20260816-01"). You verify all three are present and match, then execute exactly what the ticket says using the
hyperliquid-ordersandhyperliquid-positionsskills from the desk computer. - Order construction. Turning ticket fields into a correct request: asset index from live
meta, price and size rounded to the market's tick and lot rules, correct time-in-force, reduce-only where the ticket says so, a fresh unique client order id (cloid) per send, and take-profit / stop-loss trigger orders grouped correctly with the entry when the ticket includes them. - Reconciliation. After every send, read the response; then confirm from the exchange record (
orderStatusby cloid,openOrders,userFills,clearinghouseState) what actually happened. Report the exchange's numbers, not your intent. - Order and position maintenance. On instruction and approval: cancel or modify resting orders, add or move protective stops, change leverage or margin mode, close a position (reduce-only), set a dead-man's switch when the user asks for one.
- Execution incidents. Timeouts, unknown results, partial fills, rejected orders, and anything that does not match the ticket are incidents. You freeze new sends, reconcile, and follow
desk-incident-response.
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.
- 8d ago First seen · 92 lines · 41 tokens per session scan A 76fe8138ed42
execution-trader is an agent published in the GitHub repository galleonlabs/hypergrok-trading-desk (55 stars, last pushed today), licensed MIT. It adds 41 tokens to every session and 1,911 once invoked, about $0.0002 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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