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.
npx skills add galleonlabs/hypergrok-trading-desk --skill desk-monitoringgit 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/skills/galleonlabs/hypergrok-trading-desk/desk-monitoring)<a href="https://agentmods.dev/skills/galleonlabs/hypergrok-trading-desk/desk-monitoring"><img src="https://agentmods.dev/badge/skills/galleonlabs/hypergrok-trading-desk/desk-monitoring/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/skills/galleonlabs/hypergrok-trading-desk/desk-monitoring"><img src="https://agentmods.dev/badge/skills/galleonlabs/hypergrok-trading-desk/desk-monitoring.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00069 | $0.01438 |
| Opus 5 | $0.00034 | $0.00719 |
| Sonnet 5 | $0.00014 | $0.00288 |
| Haiku 4.5 | $0.00007 | $0.00144 |
Grade A, and why
desk-monitoring 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Monitoring, briefs and watches
Monitoring is read-only. A watch may fetch, compute, save and alert. It may never send to the exchange. If a watch condition implies action ("stop got hit, re-enter"), the alert opens a proposal; the lifecycle does the rest.
Grok Bot routines
Each Bot can own routines (schedules or event triggers). Ask the owning Bot to create one with: schedule and time zone, input source, expected result, approval boundary. Keep routines few and specific; the app keeps only recent run records, so a routine that produces something durable should also write to /workspace/trading-desk.
Recommended starting set (the user picks; none is on by default):
| Routine | Owner | Schedule | Output |
|---|---|---|---|
| Desk brief | Desk Lead | once a day at the user's chosen time | briefs/YYYY-MM-DD-desk.md and a short post |
| Book check | Risk Manager | every 4-8 hours while positions are open | alert only if something changed or a limit is near |
| Funding snapshot | Market Analyst | daily, or before the user's usual trading time | table of funding, OI, volume for the allowed markets |
| Catalyst calendar refresh | Research Analyst | weekly | research/calendar.md |
| Weekly review | Trade Reviewer | weekly | review posted by DM |
The desk brief
Assembled by the Desk Lead from specialists' inputs, or generated by the Desk Lead directly if it is the only Bot awake:
DESK BRIEF | 2026-08-17 07:00 UTC | mainnet | account 0xabc...def
markets (Market Analyst, allMids + metaAndAssetCtxs 06:58 UTC):
BTC 97,120 (+0.8% 24h) | funding 0.0010%/h | OI $4.1B
ETH 3,004 (+0.2%) | funding 0.0012%/h | OI $1.2B
SOL 151.2 (-1.1%) | funding -0.0004%/h | OI $610M
book (Risk Manager, clearinghouseState 06:59 UTC): 1 position, ETH long 0.4827 @ 3,000, uPnL +$1.9, margin ratio 4.6%, stop resting 2,900; open risk 0.5%; day PnL 0.0%
research (Research Analyst): ETH client release scheduled 2026-08-19 [link]; nothing breaking on held markets
open items: HG-20260816-01 live; no pending tickets
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.
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 · 84 lines · 69 tokens per session scan A 0b725282123f
desk-monitoring is a skill published in the GitHub repository galleonlabs/hypergrok-trading-desk (60 stars, last pushed 2d ago), licensed MIT. It adds 69 tokens to every session and 1,438 once invoked, about $0.0003 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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