Gpu MonitorSAFE
🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.
Overview
🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.
d8030f4516acOBSERVED · 2026-10-12Host compatibility
What the documentation claims. We have not run a compatibility test.
| Host | Status | Notes |
|---|---|---|
| claude-code | mentioned | |
| codex | mentioned |
What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- name: gpu-monitor description: "Check GPU status, running experiments, and available resources" --- # 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 1. Run `nvidia-smi` to get current GPU status 2. Display a clean summary table: - GPU ID, Name, Memory (used/total), Utilization %, Temperature - Running processes on each GPU 3. Identify which GPUs are free (< 1GB memory used) 4. Identify which GPUs are running experiments (check for python/torchrun processes) 5. If `--server` is 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) ```
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
d8030f4516acfull audit observations/trust-audit/skill/xiangyue-zhang__gpu-monitor.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-12 | d8030f4516ac | SAFE | B | 89 | first audit |
Questions
What does the Gpu Monitor skill do?
🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.
Is Gpu Monitor safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Gpu Monitor access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Gpu Monitor work with?
Its documentation mentions claude-code and codex. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (d8030f4516ac), read on 2026-10-12. The repository is watched, and a new audit runs when it changes — this is the first audit.