Auto Deep Researcher 24x7 is an autonomous AI agent that runs and monitors deep learning experiments continuously. Researchers use it to automate experiment execution, including hyperparameter tuning and GPU or Slurm-based workloads. The catalogue add-ons provide agents, skills, and instructions for operating the experiment workflow.
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 Xiangyue-Zhang/auto-deep-researcher-24x7 --skill gpu-monitorgit clone --depth 1 https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7Wrote 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/xiangyue-zhang/auto-deep-researcher-24x7/gpu-monitor)<a href="https://agentmods.dev/skills/xiangyue-zhang/auto-deep-researcher-24x7/gpu-monitor"><img src="https://agentmods.dev/badge/skills/xiangyue-zhang/auto-deep-researcher-24x7/gpu-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/xiangyue-zhang/auto-deep-researcher-24x7/gpu-monitor"><img src="https://agentmods.dev/badge/skills/xiangyue-zhang/auto-deep-researcher-24x7/gpu-monitor.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 | $0.00013 | $0.00345 |
| Opus 5 | $0.00006 | $0.00172 |
| Sonnet 5 | $0.00003 | $0.00069 |
| Haiku 4.5 | $0.00001 | $0.00034 |
Grade A, and why
gpu-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 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.
What it actually says
gpu-monitor
Quick GPU status check for experiment management.
Usage
Claude Code: /gpu-monitor
Claude Code: /gpu-monitor --server user@remote-host
Codex: $gpu-monitor
Behavior
- Run
nvidia-smito get current GPU status - Display a clean summary table:
- GPU ID, Name, Memory (used/total), Utilization %, Temperature
- Running processes on each GPU
- Identify which GPUs are free (< 1GB memory used)
- Identify which GPUs are running experiments (check for python/torchrun processes)
- If
--serveris provided, SSH to remote server first
Output Format
GPU Status
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
GPU Name Memory Util Temp
0 L20X 144GB 45123/147456 98% 72°C ← training (PID 12345)
1 L20X 144GB 234/147456 0% 35°C ← FREE
2 L20X 144GB 43210/147456 95% 70°C ← training (PID 12346)
3 L20X 144GB 1024/147456 12% 40°C ← keeper
Free GPUs: [1]
Training: GPU 0 (PID 12345), GPU 2 (PID 12346)
What ships with it
1 file 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 · 42 lines · 13 tokens per session scan A 53eeff159b21
gpu-monitor is a skill published in the GitHub repository Xiangyue-Zhang/auto-deep-researcher-24x7 (1,291 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 13 tokens to every session and 345 once invoked, about $0.0001 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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