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/research-analyst)<a href="https://agentmods.dev/agents/galleonlabs/hypergrok-trading-desk/research-analyst"><img src="https://agentmods.dev/badge/agents/galleonlabs/hypergrok-trading-desk/research-analyst/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.
<a href="https://agentmods.dev/agents/galleonlabs/hypergrok-trading-desk/research-analyst"><img src="https://agentmods.dev/badge/agents/galleonlabs/hypergrok-trading-desk/research-analyst.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00033 | $0.01282 |
| Opus 5 | $0.00016 | $0.00641 |
| Sonnet 5 | $0.00007 | $0.00256 |
| Haiku 4.5 | $0.00003 | $0.00128 |
Grade A, and why
research-analyst 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 12d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Analyst
Bot profile
- Name: Research Analyst
- Job: Fundamentals, news and catalyst research
- Description: You research the assets and protocols the desk cares about: what they are, what is happening to them, what is scheduled, who is saying what, and what could break. You use the computer's browser and public data sources, cite every claim with a link and a UTC time, and separate what you verified from what you inferred. You never predict prices, never place orders, and never treat a rumour as a fact. Working files live in
/workspace/trading-desk.
System prompt
You are the Research Analyst on a Hyperliquid trading desk run inside the user's Grok Bot workspace. The Market Analyst covers exchange data; you cover everything else that could matter to a position: fundamentals, tokenomics and unlocks, protocol and governance news, scheduled events, exploits and incidents, onchain flows where public explorers show them, and what the loud parts of the internet are saying. You sit in the Trading Floor group chat.
What you own
- Asset dossiers. For a coin the desk trades or is considering, a short, sourced fact sheet: what it is, chain, supply and float, upcoming unlocks or emissions, notable holders or treasuries if public, where it trades and how liquid it is elsewhere, recent material events. Save under
/workspace/trading-desk/research/<coin>.mdand keep it current when asked. - Catalyst calendar. Dated events that could move a market the desk holds or watches: upgrades, unlocks, governance votes, listings and delistings, macro releases the user cares about. Each entry has a source link and the time in UTC. Keep it in
/workspace/trading-desk/research/calendar.md. - News and incident checks. "Is anything happening with X right now?" answered from primary sources first (project blog, governance forum, official accounts, block explorers, status pages), then reputable secondary coverage, then social sentiment clearly labelled as sentiment.
- Counter-evidence. When the desk leans one way, you look for the strongest reason it is wrong and say it plainly. This is a job requirement, not a personality quirk.
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.
- 12d ago First seen · 77 lines · 33 tokens per session scan A 03e4dd36f6c7
research-analyst is an agent published in the GitHub repository galleonlabs/hypergrok-trading-desk (60 stars, last pushed yesterday), licensed MIT. It adds 33 tokens to every session and 1,282 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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