Creator · galleonlabs
Last updated · Sep 1, 2026
How the desk watches markets and the account between trades using Grok Bot routines and WebSocket or polling watches - the desk brief, book checks, funding and price watches, alert conditions and what a watch may and may not do. Use when the user asks for briefings, alerts, "watc
Creator · galleonlabs
Last updated · Sep 1, 2026
How the desk watches markets and the account between trades using Grok Bot routines and WebSocket or polling watches - the desk brief, book checks, funding and price watches, alert conditions and what a watch may and may not do. Use when the user asks for briefings, alerts, "watc
Creator · galleonlabs
Last updated · Sep 1, 2026
How the desk watches markets and the account between trades using Grok Bot routines and WebSocket or polling watches - the desk brief, book checks, funding and price watches, alert conditions and what a watch may and may not do. Use when the user asks for briefings, alerts, "watc
Creator · galleonlabs
Last updated · Sep 1, 2026
How the desk watches markets and the account between trades using Grok Bot routines and WebSocket or polling watches - the desk brief, book checks, funding and price watches, alert conditions and what a watch may and may not do. Use when the user asks for briefings, alerts, "watc
Sandbox only
Install targets
Codex install prompt
Install the "desk-monitoring" agent skill from https://github.com/galleonlabs/hypergrok-trading-desk/tree/main/skills/desk-monitoring. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: How the desk watches markets and the account between trades using Grok Bot routines and WebSocket or polling watches - the desk brief, book checks, funding and price watches, alert conditions and what a watch may and may not do. Use when the user asks for briefings, alerts, "watch X" or scheduled checks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"galleonlabs-desk-monitoring","task":"Install desk-monitoring","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add galleonlabs/hypergrok-trading-desk --skill desk-monitoring
Maintenance
fresh
4d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
35
62/100 Quality · 76/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Low GitHub adoption signal
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
35 GitHub stars
Repo activity
35 stars, 5 forks
Maintenance
4d since push
License
MIT
Install
npx skills add galleonlabs/hypergrok-trading-desk --skill desk-monitoring
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add galleonlabs/hypergrok-trading-desk --skill desk-monitoringDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20desk-monitoring%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20desk-monitoring%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/galleonlabs-desk-monitoring/install
Agent should check
Copy prompt
Task: Use desk-monitoring in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20desk-monitoring%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/galleonlabs-desk-monitoring/install
Install command: npx skills add galleonlabs/hypergrok-trading-desk --skill desk-monitoring
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/galleonlabs-desk-monitoring/install
LLM text format
/api/skills/galleonlabs-desk-monitoring/install?format=text
Find alternatives
/api/skills/search?q=desk-monitoring&limit=3
Agent prompt
Use desk-monitoring for this task. Review https://www.openagentskill.com/api/skills/galleonlabs-desk-monitoring/install, then install with: npx skills add galleonlabs/hypergrok-trading-desk --skill desk-monitoringRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/galleonlabs-desk-monitoring
LLM text
/api/registry/manifest/galleonlabs-desk-monitoring?format=text
Install alias
/api/registry/install/galleonlabs-desk-monitoring
Recommend
/api/registry/recommend?task=Use%20desk-monitoring%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
CHECK35 GitHub stars
Stars/forks activity
CHECK35 stars, 5 forks; issue activity unavailable in current metadata
Recent maintenance
PASS4d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Analyze markets
I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
Run multimodal agents that operate desktop interfaces
Connect agents to hundreds of workflow automations
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
--- name: desk-monitoring description: How the desk watches markets and the account between trades using Grok Bot routines and WebSocket or polling watches - the desk brief, book checks, funding and price watches, alert conditions and what a watch may and may not do. Use when the user asks for briefings, alerts, "watch X" or scheduled checks. license: MIT metadata: version: "1.1.1" author: Galleon Labs category: desk ---
# 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 ```
Facts with sources; interpretation, if any, on one clearly labelled line. No trade suggestions.
## Watches
A watch is a condition plus an alert. Two ways to run one on the desk computer:
- **Polling** with `/info` calls on a short loop from a script under `/workspace/trading-desk/watch/` (respect rate limits: `/info` requests carry weight; a poll every 5-15 seconds per market is plenty for a desk). - **WebSocket** subscriptions (`allMids`, `l2Book`, `trades`, `candle`, `userFills`, `orderUpdates`, `userEvents`) per `hyperliquid-websocket`. Better for fills and order updates. Keep the process supervised (a routine can restart it) and log to a file.
Common watch conditions:
| Watch | Data | Alert to | | --- | --- | --- | | Price crosses a level | `allMids` or `candle` | user, Desk Lead | | Funding flips sign or exceeds a threshold | `metaAndAssetCtxs` `funding` / `predictedFundings` | user, Desk Lead | | Order filled or cancelled | `orderUpdates`, `userFills` | Execution Trader, Trade Reviewer | | Margin ratio above X or liquidation distance below Y | `clearinghouseState` | user, Risk Manager, Desk Lead | | Position without a resting stop | `clearinghouseState` + `frontendOpenOrders` | Risk Manager, Desk Lead (incident) | | Daily loss stop approached (80%) or hit | `clearinghouseState` vs start-of-day equity | user, Risk Manager | | Exchange unreachable for more than N minutes | any `/info` call failing | Desk Lead |
An alert message carries: what fired, the value and the threshold, the source and UTC time, and the proposal id if related. Alerts do not include instructions to trade.
**Silence is not an all-clear.** A watch has three outcomes, never two: the condition fired, the condition did not fire, or the watch could not tell. A failed request, an empty response, a socket that reconnected and skipped messages, a candle that never closed, or data older than the watch's own interval is **unavailable**, and it must alert as such. A watch that quietly reports "not crossed" on a dead feed is the most dangerous thing on the desk, because it looks exactly like a calm market.
Give every watch a staleness bound (a small multiple of its interval) and check the age of each result against it. On unavailable: say which read failed, how old the last good value was, and how long the gap has run. Escalate a gap that outlives the bound, rather than waiting for the feed to come back.
## Hygiene
- Every watch script logs to `/workspace/trading-desk/watch/<name>.log` with UTC timestamps. - A watch that fails silently is worse than none: routines that own a watch check its heartbeat. - Do not run more than a few watches at once; each is a process on the shared computer. - When the desk goes flat and the user is done for the day, stop the watches that only make sense with positions.
## Never
- Never let a watch place, modify or cancel an order, or change leverage. Even a "protective" one. It alerts; the desk acts through a ticket. - Never alert with unsourced numbers. - Never report a stale or failed read as a condition that did not fire. That is an `unavailable` alert, not silence. - Never poll faster than the desk needs; a rate-limited desk is a blind desk.
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for desk-monitoring, ready for a manual X post.
desk-monitoring: How the desk watches markets and the account between trades using Grok Bot routines and WebSo... 35 stars https://www.openagentskill.com/skills/galleonlabs-desk-monitoring?ref=x
Listing + install path for desk-monitoring: https://www.openagentskill.com/skills/galleonlabs-desk-monitoring?ref=x Install: npx skills add galleonlabs/hypergrok-trading-desk --skill desk-monitoring
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to galleonlabs but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/galleonlabs-desk-monitoring?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/galleonlabs-desk-monitoring?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/galleonlabs-desk-monitoring/audit)
[](https://www.openagentskill.com/skills/galleonlabs-desk-monitoring?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)galleonlabs
@galleonlabs
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
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Install targets
Codex install prompt
Install the "desk-monitoring" agent skill from https://github.com/galleonlabs/hypergrok-trading-desk/tree/main/skills/desk-monitoring. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: How the desk watches markets and the account between trades using Grok Bot routines and WebSocket or polling watches - the desk brief, book checks, funding and price watches, alert conditions and what a watch may and may not do. Use when the user asks for briefings, alerts, "watch X" or scheduled checks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"galleonlabs-desk-monitoring","task":"Install desk-monitoring","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add galleonlabs/hypergrok-trading-desk --skill desk-monitoring
Maintenance
fresh
4d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
35
62/100 Quality · 76/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Low GitHub adoption signal
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
35 GitHub stars
Repo activity
35 stars, 5 forks
Maintenance
4d since push
License
MIT
Install
npx skills add galleonlabs/hypergrok-trading-desk --skill desk-monitoring
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add galleonlabs/hypergrok-trading-desk --skill desk-monitoringDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20desk-monitoring%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20desk-monitoring%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/galleonlabs-desk-monitoring/install
Agent should check
Copy prompt
Task: Use desk-monitoring in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20desk-monitoring%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/galleonlabs-desk-monitoring/install
Install command: npx skills add galleonlabs/hypergrok-trading-desk --skill desk-monitoring
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/galleonlabs-desk-monitoring/install
LLM text format
/api/skills/galleonlabs-desk-monitoring/install?format=text
Find alternatives
/api/skills/search?q=desk-monitoring&limit=3
Agent prompt
Use desk-monitoring for this task. Review https://www.openagentskill.com/api/skills/galleonlabs-desk-monitoring/install, then install with: npx skills add galleonlabs/hypergrok-trading-desk --skill desk-monitoringRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/galleonlabs-desk-monitoring
LLM text
/api/registry/manifest/galleonlabs-desk-monitoring?format=text
Install alias
/api/registry/install/galleonlabs-desk-monitoring
Recommend
/api/registry/recommend?task=Use%20desk-monitoring%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
CHECK35 GitHub stars
Stars/forks activity
CHECK35 stars, 5 forks; issue activity unavailable in current metadata
Recent maintenance
PASS4d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Analyze markets
I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
Run multimodal agents that operate desktop interfaces
Connect agents to hundreds of workflow automations
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
--- name: desk-monitoring description: How the desk watches markets and the account between trades using Grok Bot routines and WebSocket or polling watches - the desk brief, book checks, funding and price watches, alert conditions and what a watch may and may not do. Use when the user asks for briefings, alerts, "watch X" or scheduled checks. license: MIT metadata: version: "1.1.1" author: Galleon Labs category: desk ---
# 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 ```
Facts with sources; interpretation, if any, on one clearly labelled line. No trade suggestions.
## Watches
A watch is a condition plus an alert. Two ways to run one on the desk computer:
- **Polling** with `/info` calls on a short loop from a script under `/workspace/trading-desk/watch/` (respect rate limits: `/info` requests carry weight; a poll every 5-15 seconds per market is plenty for a desk). - **WebSocket** subscriptions (`allMids`, `l2Book`, `trades`, `candle`, `userFills`, `orderUpdates`, `userEvents`) per `hyperliquid-websocket`. Better for fills and order updates. Keep the process supervised (a routine can restart it) and log to a file.
Common watch conditions:
| Watch | Data | Alert to | | --- | --- | --- | | Price crosses a level | `allMids` or `candle` | user, Desk Lead | | Funding flips sign or exceeds a threshold | `metaAndAssetCtxs` `funding` / `predictedFundings` | user, Desk Lead | | Order filled or cancelled | `orderUpdates`, `userFills` | Execution Trader, Trade Reviewer | | Margin ratio above X or liquidation distance below Y | `clearinghouseState` | user, Risk Manager, Desk Lead | | Position without a resting stop | `clearinghouseState` + `frontendOpenOrders` | Risk Manager, Desk Lead (incident) | | Daily loss stop approached (80%) or hit | `clearinghouseState` vs start-of-day equity | user, Risk Manager | | Exchange unreachable for more than N minutes | any `/info` call failing | Desk Lead |
An alert message carries: what fired, the value and the threshold, the source and UTC time, and the proposal id if related. Alerts do not include instructions to trade.
**Silence is not an all-clear.** A watch has three outcomes, never two: the condition fired, the condition did not fire, or the watch could not tell. A failed request, an empty response, a socket that reconnected and skipped messages, a candle that never closed, or data older than the watch's own interval is **unavailable**, and it must alert as such. A watch that quietly reports "not crossed" on a dead feed is the most dangerous thing on the desk, because it looks exactly like a calm market.
Give every watch a staleness bound (a small multiple of its interval) and check the age of each result against it. On unavailable: say which read failed, how old the last good value was, and how long the gap has run. Escalate a gap that outlives the bound, rather than waiting for the feed to come back.
## Hygiene
- Every watch script logs to `/workspace/trading-desk/watch/<name>.log` with UTC timestamps. - A watch that fails silently is worse than none: routines that own a watch check its heartbeat. - Do not run more than a few watches at once; each is a process on the shared computer. - When the desk goes flat and the user is done for the day, stop the watches that only make sense with positions.
## Never
- Never let a watch place, modify or cancel an order, or change leverage. Even a "protective" one. It alerts; the desk acts through a ticket. - Never alert with unsourced numbers. - Never report a stale or failed read as a condition that did not fire. That is an `unavailable` alert, not silence. - Never poll faster than the desk needs; a rate-limited desk is a blind desk.
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for desk-monitoring, ready for a manual X post.
desk-monitoring: How the desk watches markets and the account between trades using Grok Bot routines and WebSo... 35 stars https://www.openagentskill.com/skills/galleonlabs-desk-monitoring?ref=x
Listing + install path for desk-monitoring: https://www.openagentskill.com/skills/galleonlabs-desk-monitoring?ref=x Install: npx skills add galleonlabs/hypergrok-trading-desk --skill desk-monitoring
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to galleonlabs but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/galleonlabs-desk-monitoring?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/galleonlabs-desk-monitoring?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/galleonlabs-desk-monitoring/audit)
[](https://www.openagentskill.com/skills/galleonlabs-desk-monitoring?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)galleonlabs
@galleonlabs
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
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UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
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Connect agents to hundreds of workflow automations
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利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
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Install targets
Codex install prompt
Install the "desk-monitoring" agent skill from https://github.com/galleonlabs/hypergrok-trading-desk/tree/main/skills/desk-monitoring. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: How the desk watches markets and the account between trades using Grok Bot routines and WebSocket or polling watches - the desk brief, book checks, funding and price watches, alert conditions and what a watch may and may not do. Use when the user asks for briefings, alerts, "watch X" or scheduled checks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"galleonlabs-desk-monitoring","task":"Install desk-monitoring","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add galleonlabs/hypergrok-trading-desk --skill desk-monitoring
Maintenance
fresh
4d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
35
62/100 Quality · 76/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Low GitHub adoption signal
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
35 GitHub stars
Repo activity
35 stars, 5 forks
Maintenance
4d since push
License
MIT
Install
npx skills add galleonlabs/hypergrok-trading-desk --skill desk-monitoring
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add galleonlabs/hypergrok-trading-desk --skill desk-monitoringDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20desk-monitoring%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20desk-monitoring%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/galleonlabs-desk-monitoring/install
Agent should check
Copy prompt
Task: Use desk-monitoring in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20desk-monitoring%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/galleonlabs-desk-monitoring/install
Install command: npx skills add galleonlabs/hypergrok-trading-desk --skill desk-monitoring
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/galleonlabs-desk-monitoring/install
LLM text format
/api/skills/galleonlabs-desk-monitoring/install?format=text
Find alternatives
/api/skills/search?q=desk-monitoring&limit=3
Agent prompt
Use desk-monitoring for this task. Review https://www.openagentskill.com/api/skills/galleonlabs-desk-monitoring/install, then install with: npx skills add galleonlabs/hypergrok-trading-desk --skill desk-monitoringRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/galleonlabs-desk-monitoring
LLM text
/api/registry/manifest/galleonlabs-desk-monitoring?format=text
Install alias
/api/registry/install/galleonlabs-desk-monitoring
Recommend
/api/registry/recommend?task=Use%20desk-monitoring%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
CHECK35 GitHub stars
Stars/forks activity
CHECK35 stars, 5 forks; issue activity unavailable in current metadata
Recent maintenance
PASS4d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Analyze markets
I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
Run multimodal agents that operate desktop interfaces
Connect agents to hundreds of workflow automations
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
--- name: desk-monitoring description: How the desk watches markets and the account between trades using Grok Bot routines and WebSocket or polling watches - the desk brief, book checks, funding and price watches, alert conditions and what a watch may and may not do. Use when the user asks for briefings, alerts, "watch X" or scheduled checks. license: MIT metadata: version: "1.1.1" author: Galleon Labs category: desk ---
# 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 ```
Facts with sources; interpretation, if any, on one clearly labelled line. No trade suggestions.
## Watches
A watch is a condition plus an alert. Two ways to run one on the desk computer:
- **Polling** with `/info` calls on a short loop from a script under `/workspace/trading-desk/watch/` (respect rate limits: `/info` requests carry weight; a poll every 5-15 seconds per market is plenty for a desk). - **WebSocket** subscriptions (`allMids`, `l2Book`, `trades`, `candle`, `userFills`, `orderUpdates`, `userEvents`) per `hyperliquid-websocket`. Better for fills and order updates. Keep the process supervised (a routine can restart it) and log to a file.
Common watch conditions:
| Watch | Data | Alert to | | --- | --- | --- | | Price crosses a level | `allMids` or `candle` | user, Desk Lead | | Funding flips sign or exceeds a threshold | `metaAndAssetCtxs` `funding` / `predictedFundings` | user, Desk Lead | | Order filled or cancelled | `orderUpdates`, `userFills` | Execution Trader, Trade Reviewer | | Margin ratio above X or liquidation distance below Y | `clearinghouseState` | user, Risk Manager, Desk Lead | | Position without a resting stop | `clearinghouseState` + `frontendOpenOrders` | Risk Manager, Desk Lead (incident) | | Daily loss stop approached (80%) or hit | `clearinghouseState` vs start-of-day equity | user, Risk Manager | | Exchange unreachable for more than N minutes | any `/info` call failing | Desk Lead |
An alert message carries: what fired, the value and the threshold, the source and UTC time, and the proposal id if related. Alerts do not include instructions to trade.
**Silence is not an all-clear.** A watch has three outcomes, never two: the condition fired, the condition did not fire, or the watch could not tell. A failed request, an empty response, a socket that reconnected and skipped messages, a candle that never closed, or data older than the watch's own interval is **unavailable**, and it must alert as such. A watch that quietly reports "not crossed" on a dead feed is the most dangerous thing on the desk, because it looks exactly like a calm market.
Give every watch a staleness bound (a small multiple of its interval) and check the age of each result against it. On unavailable: say which read failed, how old the last good value was, and how long the gap has run. Escalate a gap that outlives the bound, rather than waiting for the feed to come back.
## Hygiene
- Every watch script logs to `/workspace/trading-desk/watch/<name>.log` with UTC timestamps. - A watch that fails silently is worse than none: routines that own a watch check its heartbeat. - Do not run more than a few watches at once; each is a process on the shared computer. - When the desk goes flat and the user is done for the day, stop the watches that only make sense with positions.
## Never
- Never let a watch place, modify or cancel an order, or change leverage. Even a "protective" one. It alerts; the desk acts through a ticket. - Never alert with unsourced numbers. - Never report a stale or failed read as a condition that did not fire. That is an `unavailable` alert, not silence. - Never poll faster than the desk needs; a rate-limited desk is a blind desk.
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for desk-monitoring, ready for a manual X post.
desk-monitoring: How the desk watches markets and the account between trades using Grok Bot routines and WebSo... 35 stars https://www.openagentskill.com/skills/galleonlabs-desk-monitoring?ref=x
Listing + install path for desk-monitoring: https://www.openagentskill.com/skills/galleonlabs-desk-monitoring?ref=x Install: npx skills add galleonlabs/hypergrok-trading-desk --skill desk-monitoring
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to galleonlabs but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/galleonlabs-desk-monitoring?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/galleonlabs-desk-monitoring?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/galleonlabs-desk-monitoring/audit)
[](https://www.openagentskill.com/skills/galleonlabs-desk-monitoring?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)galleonlabs
@galleonlabs
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
37.0K Starsn8n
Connect agents to hundreds of workflow automations
194.1K StarsMoneyPrinterTurbo
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
88.5K StarsTasmota
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
24.7K StarsSandbox only
Install targets
Codex install prompt
Install the "desk-monitoring" agent skill from https://github.com/galleonlabs/hypergrok-trading-desk/tree/main/skills/desk-monitoring. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: How the desk watches markets and the account between trades using Grok Bot routines and WebSocket or polling watches - the desk brief, book checks, funding and price watches, alert conditions and what a watch may and may not do. Use when the user asks for briefings, alerts, "watch X" or scheduled checks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"galleonlabs-desk-monitoring","task":"Install desk-monitoring","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add galleonlabs/hypergrok-trading-desk --skill desk-monitoring
Maintenance
fresh
4d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
35
62/100 Quality · 76/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Low GitHub adoption signal
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
35 GitHub stars
Repo activity
35 stars, 5 forks
Maintenance
4d since push
License
MIT
Install
npx skills add galleonlabs/hypergrok-trading-desk --skill desk-monitoring
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add galleonlabs/hypergrok-trading-desk --skill desk-monitoringDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20desk-monitoring%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20desk-monitoring%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/galleonlabs-desk-monitoring/install
Agent should check
Copy prompt
Task: Use desk-monitoring in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20desk-monitoring%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/galleonlabs-desk-monitoring/install
Install command: npx skills add galleonlabs/hypergrok-trading-desk --skill desk-monitoring
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/galleonlabs-desk-monitoring/install
LLM text format
/api/skills/galleonlabs-desk-monitoring/install?format=text
Find alternatives
/api/skills/search?q=desk-monitoring&limit=3
Agent prompt
Use desk-monitoring for this task. Review https://www.openagentskill.com/api/skills/galleonlabs-desk-monitoring/install, then install with: npx skills add galleonlabs/hypergrok-trading-desk --skill desk-monitoringRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/galleonlabs-desk-monitoring
LLM text
/api/registry/manifest/galleonlabs-desk-monitoring?format=text
Install alias
/api/registry/install/galleonlabs-desk-monitoring
Recommend
/api/registry/recommend?task=Use%20desk-monitoring%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
CHECK35 GitHub stars
Stars/forks activity
CHECK35 stars, 5 forks; issue activity unavailable in current metadata
Recent maintenance
PASS4d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Analyze markets
I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
Run multimodal agents that operate desktop interfaces
Connect agents to hundreds of workflow automations
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
--- name: desk-monitoring description: How the desk watches markets and the account between trades using Grok Bot routines and WebSocket or polling watches - the desk brief, book checks, funding and price watches, alert conditions and what a watch may and may not do. Use when the user asks for briefings, alerts, "watch X" or scheduled checks. license: MIT metadata: version: "1.1.1" author: Galleon Labs category: desk ---
# 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 ```
Facts with sources; interpretation, if any, on one clearly labelled line. No trade suggestions.
## Watches
A watch is a condition plus an alert. Two ways to run one on the desk computer:
- **Polling** with `/info` calls on a short loop from a script under `/workspace/trading-desk/watch/` (respect rate limits: `/info` requests carry weight; a poll every 5-15 seconds per market is plenty for a desk). - **WebSocket** subscriptions (`allMids`, `l2Book`, `trades`, `candle`, `userFills`, `orderUpdates`, `userEvents`) per `hyperliquid-websocket`. Better for fills and order updates. Keep the process supervised (a routine can restart it) and log to a file.
Common watch conditions:
| Watch | Data | Alert to | | --- | --- | --- | | Price crosses a level | `allMids` or `candle` | user, Desk Lead | | Funding flips sign or exceeds a threshold | `metaAndAssetCtxs` `funding` / `predictedFundings` | user, Desk Lead | | Order filled or cancelled | `orderUpdates`, `userFills` | Execution Trader, Trade Reviewer | | Margin ratio above X or liquidation distance below Y | `clearinghouseState` | user, Risk Manager, Desk Lead | | Position without a resting stop | `clearinghouseState` + `frontendOpenOrders` | Risk Manager, Desk Lead (incident) | | Daily loss stop approached (80%) or hit | `clearinghouseState` vs start-of-day equity | user, Risk Manager | | Exchange unreachable for more than N minutes | any `/info` call failing | Desk Lead |
An alert message carries: what fired, the value and the threshold, the source and UTC time, and the proposal id if related. Alerts do not include instructions to trade.
**Silence is not an all-clear.** A watch has three outcomes, never two: the condition fired, the condition did not fire, or the watch could not tell. A failed request, an empty response, a socket that reconnected and skipped messages, a candle that never closed, or data older than the watch's own interval is **unavailable**, and it must alert as such. A watch that quietly reports "not crossed" on a dead feed is the most dangerous thing on the desk, because it looks exactly like a calm market.
Give every watch a staleness bound (a small multiple of its interval) and check the age of each result against it. On unavailable: say which read failed, how old the last good value was, and how long the gap has run. Escalate a gap that outlives the bound, rather than waiting for the feed to come back.
## Hygiene
- Every watch script logs to `/workspace/trading-desk/watch/<name>.log` with UTC timestamps. - A watch that fails silently is worse than none: routines that own a watch check its heartbeat. - Do not run more than a few watches at once; each is a process on the shared computer. - When the desk goes flat and the user is done for the day, stop the watches that only make sense with positions.
## Never
- Never let a watch place, modify or cancel an order, or change leverage. Even a "protective" one. It alerts; the desk acts through a ticket. - Never alert with unsourced numbers. - Never report a stale or failed read as a condition that did not fire. That is an `unavailable` alert, not silence. - Never poll faster than the desk needs; a rate-limited desk is a blind desk.
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Scenario-led draft for desk-monitoring, ready for a manual X post.
desk-monitoring: How the desk watches markets and the account between trades using Grok Bot routines and WebSo... 35 stars https://www.openagentskill.com/skills/galleonlabs-desk-monitoring?ref=x
Listing + install path for desk-monitoring: https://www.openagentskill.com/skills/galleonlabs-desk-monitoring?ref=x Install: npx skills add galleonlabs/hypergrok-trading-desk --skill desk-monitoring
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