sue-nm5-monitor
CommunityMonitor NM5 SUE runs for status, GPU, and storage
Authordongzhuoyao
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Manually tracking the status of scale-up ML/HPC experiments running on the NM5 sandbox requires querying multiple separate systems for Slurm job state, GPU utilization, storage quotas, and experiment progress, leading to fragmented, time-consuming checks. This Skill automates the entire monitoring workflow end-to-end.
Core Features & Use Cases
- End-to-end NM5 run monitoring: Automatically pulls Slurm scheduler state, GPU utilization, storage/inode usage, and experiment progress for SUE runs on the NM5 sandbox.
- NM5-specific adaptation: Handles unique NM5 constraints including offline W&B mode, CUDA GPU probing, Slurm partition routing, and strict workspace root validation.
- Use case: When you submit a scale-up training run to NM5, use this Skill to get a single comprehensive status report with job progress, GPU-hour budget, storage headroom, and potential blockers without manual SSH queries.
Quick Start
Use the sue-nm5-monitor skill to generate a full status report for your active NM5 SUE experiment run.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: sue-nm5-monitor Download link: https://github.com/dongzhuoyao/deepresearch/archive/main.zip#sue-nm5-monitor Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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