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Official agent skill

Hyperpod Version Checker

by awslabs in awslabs/agent-plugins

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)…

OfficialApache-2.0Auto-check passedAI & LLM Engineering

Install Hyperpod Version Checker

skills CLI
$ npx skills add awslabs/agent-plugins --skill hyperpod-version-checker -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install awslabs/agent-plugins hyperpod-version-checker --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/awslabs/agent-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/sagemaker-ai/skills/hyperpod-version-checker .claude/skills/hyperpod-version-checker && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
hyperpod-version-checker
GitHub stars
915
Used in
1 other repo
Token cost
~910 tokens
SKILL.md length
185 words
Files
2 (incl. scripts)
Skills in repo
33
Repo updated
First seen
Licence
Apache-2.0

At a glance

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)…

  • Checking component versions
  • SKILL.md covers Usage, What It Checks, Multi-Node Comparison and Compatibility Reference
  • Runs Shell scripts from its folder; calls bash
  • Verifying CUDA/driver compatibility

What it does

Hyperpod Version Checker is an agent skill from awslabs/agent-plugins, published by the product's own GitHub organization. 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…

Its SKILL.md is about 910 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/hyperpod_check_versions.sh`).

It sits in AI & LLM Engineering, covering Deep learning and GPU and accelerator computing. It works with CUDA, Amazon Web Services, Amazon SageMaker and NVIDIA AI Platform. The repository describes itself as: Agent Plugins for AWS equip AI coding agents with the skills to help you architect, deploy, and operate on AWS. The licence is Apache-2.0.

When your agent uses it

  • Checking component versions
  • Verifying CUDA/driver compatibility
  • Detecting version mismatches across nodes
  • Planning upgrades

Example prompts

  • “/hyperpod-version-checker”

Requirements

  • A Bash shell
  • Docker

What it can do on your machine

Read from SKILL.md and the folder at commit da51970. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Shell), which the agent can run.

    Shell commands in SKILL.md call:

    • bash

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Hyperpod Version Checker loads about 910 tokens when it runs. Until then it costs about 145 tokens; SKILL.md has 185 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~145
When it runs · the whole SKILL.md, loaded when a task matches
~910

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from awslabs/agent-plugins at commit da51970, republished under its Apache-2.0 licence (© awslabs). 185 words, ~910 tokens.

Download SKILL.mdSave it as .claude/skills/hyperpod-version-checker/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
hyperpod-version-checker
description
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.
metadata.version
1.0.0

HyperPod Version Checker

Upload to cluster nodes via hyperpod-ssm skill, then execute.

Usage

bash
# Text report to console + file
bash hyperpod_check_versions.sh

# JSON only to stdout (text report still saved to file) — best for piping/parsing
bash hyperpod_check_versions.sh --json

# Custom output file
bash hyperpod_check_versions.sh --output /tmp/versions.txt

# No color (for logging)
bash hyperpod_check_versions.sh --no-color

Output file: component_versions_<hostname>_<timestamp>.txt (default)

What It Checks

ComponentDetection MethodApplicable When
NVIDIA Drivernvidia-smiGPU instances (p3/p4/p5/g5)
CUDA Toolkitnvcc, /usr/local/cuda symlinkGPU instances
cuDNNHeader file, packagesGPU instances doing deep learning
NCCLLibrary filename, header, packagesDistributed GPU training
EFA/opt/amazon/efa_installed_packages, fi_infoEFA-capable instances (p4d/p4de/p5/trn1/trn2)
AWS OFI NCCLefa_installed_packages, library searchEFA + NCCL workloads
GDRCopyrpm/dpkg, kernel moduleGPU instances with RDMA (p4d+/p5)
MPImpirun, /opt/amazon/openmpiDistributed training
Neuron SDKneuronx-cc, neuron-ls, packagesTrainium/Inferentia (trn1/trn2/inf1/inf2)
Python/PyTorchpython3, torch importML workloads
Container runtimedocker, containerd, kubectl, nvidia-ctkEKS clusters

Multi-Node Comparison

Run on each node individually via the hyperpod-ssm skill. With --json, stdout is clean JSON for easy diffing.

Compatibility Reference

The script automatically analyzes CUDA/driver compatibility. For reference:

Driver SeriesSupported CUDA
580+13.x, 12.x, 11.x
570+12.8+ (Blackwell), 12.x, 11.x
545+12.3-12.7, 11.x
525-53512.0-12.2, 11.x
450+11.x only

NCCL: Use 2.18+ for CUDA 12.x, 2.12+ for CUDA 11.x. Must be consistent across all nodes.

EFA InstallerAWS OFI NCCL
1.29+v1.7.3+ (recommended)
1.26-1.28v1.7.0-v1.7.2
1.20-1.25v1.6.0+

© awslabs, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (scripts) in plugins/sagemaker-ai/skills/hyperpod-version-checker of awslabs/agent-plugins.

  • SKILL.md
  • scripts/hyperpod_check_versions.sh

Open the folder on GitHubat commit da51970

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in awslabs/agent-plugins, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Hyperpod Version Checker next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Hyperpod Version Checker compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Hyperpod Version Checker this skillawslabs/agent-plugins9151 repos~910Automated safety check: PassApache-2.0
Graphsignalgraphsignal/graphsignal257—~6.2kAutomated safety check: PassApache-2.0
Quark Env Preflightamd/Quark181—~1.4kAutomated safety check: PassMIT
Magpie Kernel Evaluatoramd/skills398—~2.3kAutomated safety check: PassMIT
GPU OptimizerMathews-Tom/armory328—~3.5kAutomated safety check: NotesMIT
Triton Langmohitmishra786/low-level-dev-skills253—~1.8kAutomated safety check: PassMIT

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  • Hyperpod Issue Report

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Works with

Categories

Questions about Hyperpod Version Checker

What does Hyperpod Version Checker do?

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)…. Hyperpod Version Checker is an agent skill from awslabs/agent-plugins, published by the product's own GitHub organization. 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.

When should I use Hyperpod Version Checker?

Hyperpod Version Checker fits situations like: checking component versions; verifying CUDA/driver compatibility; detecting version mismatches across nodes; planning upgrades.

How do I install Hyperpod Version Checker in Claude Code?

Run `npx skills add awslabs/agent-plugins --skill hyperpod-version-checker -a claude-code`. Or copy the skill folder (plugins/sagemaker-ai/skills/hyperpod-version-checker in awslabs/agent-plugins) into .claude/skills/hyperpod-version-checker in your project. Claude Code loads it when a task matches its description.

How do I install Hyperpod Version Checker in Codex?

Run `npx skills add awslabs/agent-plugins --skill hyperpod-version-checker -a codex`. Or copy the skill folder (plugins/sagemaker-ai/skills/hyperpod-version-checker in awslabs/agent-plugins) into .agents/skills/hyperpod-version-checker in your project. Codex loads it when a task matches its description.

Can I use Hyperpod Version Checker in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add awslabs/agent-plugins --skill hyperpod-version-checker -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hyperpod-version-checker, .gemini/skills/hyperpod-version-checker, .github/skills/hyperpod-version-checker and .opencode/skills/hyperpod-version-checker in your project.

What does Hyperpod Version Checker need to run?

Going by SKILL.md and its folder, Hyperpod Version Checker needs a shell for the scripts in its folder and the command-line tools its instructions call (bash). Our summary lists: A Bash shell; Docker.

Does Hyperpod Version Checker access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Hyperpod Version Checker safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Hyperpod Version Checker use?

Hyperpod Version Checker is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Hyperpod Version Checker use?

About 910 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Hyperpod Version Checker?

Skills that share tags, products or a category with Hyperpod Version Checker: Graphsignal (graphsignal/graphsignal, 257 stars), Quark Env Preflight (amd/Quark, 181 stars), Magpie Kernel Evaluator (amd/skills, 398 stars) and GPU Optimizer (Mathews-Tom/armory, 328 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Hyperpod Version Checker?

awslabs (a GitHub organization, an official publisher) maintains it in awslabs/agent-plugins, which has 915 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on October 5, 2026.

Source: awslabs/agent-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.