Skills for Real Engineers. Straight from my .agents directory.
39 skills
hyperpod-version-checker
Agent skill from
Check and compare software component versions on SageMaker HyperPod cluster nodes - NVIDIA drivers, CUDA toolkit, cuDNN, NCCL, EFA, AWS OFI NCCL, GDRCopy, MPI, Neuron SDK (Trainium/Inferentia), Python, and PyTorch. Use when checking component versions, verifying CUDA/driver compatibility, detecting version mismatches across nodes, planning upgrades, documenting cluster configuration, or troubleshooting version-related issues on HyperPod. Triggers on requests about versions, compatibility, component checks, or upgrade planning for HyperPod clusters.
How to install hyperpod-version-checker
install hyperpod-version-checker
# install the agent-plugins pack with the skills CLI
npx skills add awslabs/agent-plugins# or add only this skill to Claude Code: copy the folder
plugins/sagemaker-ai/skills/hyperpod-version-checker/
# into
~/.claude/skills/hyperpod-version-checker/ (all projects)
.claude/skills/hyperpod-version-checker/ (one project)
1# HyperPod Version Checker23Upload to cluster nodes via `hyperpod-ssm` skill, then execute.45## Usage67```bash8# Text report to console + file9bash hyperpod_check_versions.sh1011# JSON only to stdout (text report still saved to file) — best for piping/parsing12bash hyperpod_check_versions.sh --json1314# Custom output file15bash hyperpod_check_versions.sh --output /tmp/versions.txt1617# No color (for logging)18bash hyperpod_check_versions.sh --no-color19```2021Output file: `component_versions_<hostname>_<timestamp>.txt` (default)2223## What It Checks2425| Component | Detection Method | Applicable When |26| ----------------- | ----------------------------------------------- | --------------------------------------------- |27| NVIDIA Driver | `nvidia-smi` | GPU instances (p3/p4/p5/g5) |28| CUDA Toolkit | `nvcc`, `/usr/local/cuda` symlink | GPU instances |29| cuDNN | Header file, packages | GPU instances doing deep learning |30| NCCL | Library filename, header, packages | Distributed GPU training |31| EFA | `/opt/amazon/efa_installed_packages`, `fi_info` | EFA-capable instances (p4d/p4de/p5/trn1/trn2) |32…
Excerpt shown under the repository's Apache-2.0 license.
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