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 agentlas-ai/agentlas-desktop --skill monitorgit clone --depth 1 https://github.com/agentlas-ai/agentlas-desktopWrote 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/agentlas-ai/agentlas-desktop/monitor)<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/monitor"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/monitor/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/agentlas-ai/agentlas-desktop/monitor"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/monitor.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 | $0.00016 | $0.00509 |
| Opus 5.5 | $0.00006 | $0.00204 |
| Sonnet 5.5 | $0.00003 | $0.00102 |
| Haiku 4.5 | $0.00002 | $0.00051 |
Grade A, and why
monitor 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 3d 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 — 23 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Monitor workflow
Read the workspace, resolve saved assets, then finance.monitor.create with a name, research query, asset IDs and current revision. This creates a draft. finance.monitor.run executes the saved research and returns an actual run result; finance.monitor.runs retrieves history and report references.
To change an existing monitor, use finance.monitor.update with its saved ID, current workspace revision and only the changed name, research query or asset IDs. Reload the returned workspace to confirm the same monitor changed; do not create a duplicate. An active schedule must be paused first, and a running check must finish before its research definition can change.
For an explicitly requested recurring schedule, finance.monitor.schedule supports every-5m, hourly, daily-09:00 and weekday-09:00. These are host scheduler times, not an inferred market calendar. Describe only the returned execution availability; app-running is not an always-on cloud guarantee. Use finance.monitor.pause when asked to stop future scheduled executions. Pausing does not claim to cancel an already running execution.
These monitors retrieve evidence and produce research briefings. They do not promise tick-by-tick price alerts, exchange-session coverage, automatic trading or a fixed provider/LLM cost. Source outages and configured model limits can produce partial or failed runs. Distinguish draft, scheduled, running, partial, failed and succeeded from the actual receipts.
Use a clear company/topic question in the requested report language. The monitor combines available asset news, prices, issuer evidence and relevant public discussion; unavailable sources remain coverage gaps. Its briefing should state the conclusion and material uncertainty without listing raw rows. The separate Finance settings toggle enables the Pro-or-higher daily holdings review through One Supervisor; a research monitor schedule is not proof that this daily review was enabled or delivered.
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.
- 3d ago First seen · 23 lines · 16 tokens per session scan A 1d0d3429b876
monitor is a skill published in the GitHub repository agentlas-ai/agentlas-desktop (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 16 tokens to every session and 509 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-19.
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