Ready to supercharge your AI agents?

Install any skill in seconds. Free to start, no credit card required.

Get Started Free →

gpu-monitor — measured AI agent skill | DecimalAI

xiangyue-zhang/gpu-monitor

NewSkillScoreMaintained

Check GPU status, running experiments, and available resources

DevOpsby xiangyue-zhang

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

DevOps & SRE pack

decimalai skills pull xiangyue-zhang-gpu-monitor

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/xiangyue-zhang-gpu-monitor/SKILL.md

Raw file: /s/xiangyue-zhang-gpu-monitor/SKILL.md ↗ · machine-readable summary at /s/xiangyue-zhang-gpu-monitor.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 4h ago

—-12% tokens0% turns64% of whole cases pass with skill (14/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-04	✗→✓	▲ Improved	-30%	0%
case-21	✗→✓	▲ Improved	-54%	0%
case-13	✓→✗	▼ Worse	-63%	0%
case-15	✓→✗	▼ Worse	26%	0%
case-19	✓→✗	▼ Worse	-63%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

xiangyue-zhang / auto-deep-researcher-24x7

skills/gpu-monitor/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/3/2026Version v1

Skill contents

SKILL.md

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-smi to 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 --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)

Want to see if xiangyue-zhang/gpu-monitor would activate on your phrasing? Try it before you install — no LLM call, no signup.

Other measured skills in the registry, with their headline benchmark lift.