| 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}} |
Training health overview
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。
Parameters
sample_limit (integer, default 5): Recent CPU/GPU samples to show
Steps (summary)
available_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_step
torch_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)
Related skills
- 训练变慢 → skill: module_bottleneck 或 slow_rank
- 显存上涨 → skill: memory_leak
- 进程卡住 → skill: training_hang
- NCCL watchdog → skill: watchdog_timeout