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One-shot health check: CPU, GPU, tables, torch step progress, TorchProbe overhead, cluster nodes, NCCL profiler health
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
NCCL proxy wait decomposition — culprit (send_gpu_wait) vs victim (recv_wait)
SRE first-response triage for distributed training incidents. Automates the manual checks from PyTorch/NCCL debugging runbooks.
Diagnose PyTorch NCCL watchdog timeouts with Flight Recorder collective sequence alignment.
GPU memory and utilization headroom
Detect monotonic GPU memory growth across training steps
Find slowest PyTorch modules in recent steps
| name | health_overview |
| description | One-shot health check: CPU, GPU, tables, torch step progress, TorchProbe overhead, cluster nodes, NCCL profiler health |
| category | triage |
| tables | ["cpu.utilization","gpu.utilization","python.torch_trace","python.torch_step_timing","cluster.nodes","nccl.profiler_counters"] |
| tags | ["overview","doctor","triage","健康检查"] |
| keywords | {"en":["health","overview","status","doctor","checkup"],"zh":["健康","概览","怎么样","正常吗","doctor","体检"]} |
| parameters | {"sample_limit":{"type":"integer","default":5}} |
快速扫描目标进程：有哪些表、CPU/GPU 最近采样、训练是否在推进、TorchProbe shadow 开销、集群节点与 NCCL profiler 计数器。 适合作为 agent 的默认第一步，或用户不确定从哪查起时使用。
sample_limit (integer, default 5): Recent CPU/GPU samples to showavailable_tables — information_schema 可见表host_cpu / gpu_mem — 最近 CPU/GPU 采样latest_torch_step — python.torch_trace 最新 local_steptorch_probe_overhead — python.torch_step_timing dispatch/hook tax（80-step 窗口）cluster_nodes — cluster.nodes 存活（若有）nccl_data_integrity — nccl.profiler_counters 最新一行（若有 NCCL profiler）