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awslabs avatar

Hyperpod Node Debugger

awslabs/agent-plugins
783 starsApache-2.0
Summary

When a single node in your HyperPod cluster goes down or starts acting weird, this is your triage tool. It walks you through diagnosing GPU hardware failures (XIDs, ECC errors, row-remap issues), EFA and security group misconfigurations, Slurm node states, disk pressure, SSM agent problems, and pod networking. The workflow is read-only: it runs diagnostics, points you to the relevant section in its reference docs, then shows you the exact commands to fix it. You approve each destructive action yourself. It explicitly won't touch cluster-wide problems, NCCL tuning, or model flop utilization, which have their own dedicated skills. If you're managing p5 or Trn instances at scale and one node is misbehaving, this gives you a structured checklist instead of guessing.

Install to Claude Code

npx -y skills add awslabs/agent-plugins --skill hyperpod-node-debugger --agent claude-code

Installs into .claude/skills of the current project.

CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
ego lite browserego lite browser
ego lite browser
Fastest browser for AI agents to run web automation tasks, always free.
Download Free life-time →
inference shell
inference shell
create and run specialised agents in minutes
build now →
CodeHealth MCP ServerCodeHealth MCP Server
CodeHealth MCP Server
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Give your AI the whole web as clean markdown
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belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
Agent, connect blockchain
Agent, connect blockchain
Connect your Claude agent to live crypto prices and trading routes via 1inch
Get the MCP →
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
ego lite browserego lite browser
ego lite browser
Fastest browser for AI agents to run web automation tasks, always free.
Download Free life-time →
inference shell
inference shell
create and run specialised agents in minutes
build now →
CodeHealth MCP ServerCodeHealth MCP Server
CodeHealth MCP Server
Protect your code quality, stop the AI slop.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
Give your AI the whole web as clean markdown
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
Agent, connect blockchain
Agent, connect blockchain
Connect your Claude agent to live crypto prices and trading routes via 1inch
Get the MCP →
Files
SKILL.md

Select a file.

Featured
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
ego lite browserego lite browser
ego lite browser
Fastest browser for AI agents to run web automation tasks, always free.
Download Free life-time →
inference shell
inference shell
create and run specialised agents in minutes
build now →
CodeHealth MCP ServerCodeHealth MCP Server
CodeHealth MCP Server
Protect your code quality, stop the AI slop.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
Give your AI the whole web as clean markdown
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
Agent, connect blockchain
Agent, connect blockchain
Connect your Claude agent to live crypto prices and trading routes via 1inch
Get the MCP →
Categories
AI & Agent BuildingDebuggingAutomation & Workflows
First SeenJun 11, 2026
View on GitHub

More from awslabs/agent-plugins

All 32 skills →
  • Hyperpod Performance Debugger
  • Hyperpod Slurm Debugger
  • Hyperpod Ssm
  • Hyperpod Version Checker
  • Model Deployment
  • Model Evaluation
  • Model Selection
  • Planning
  • Sdk Getting Started
  • Use Case Specification
  • Aws Lambda239
  • Deploy220
  • Amazon Location Service
  • Amplify Workflow
  • Api Gateway
  • Aws Architecture Diagram
  • Aws Lambda Durable Functions
  • Aws Lambda Managed Instances
  • Aws Serverless Deployment
  • Aws Transform
  • Dataset Evaluation
  • Dataset Transformation
  • Directory Management
  • Document Service

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awslabs avatar
hyperpod-performance-debugger

awslabs/agent-plugins

Diagnose performance issues on Amazon SageMaker HyperPod clusters — uneven NCCL bandwidth across nodes and poor filesystem throughput. Read-only. Surfaces host-side signals (Xid, ECC, NVLink, EFA reachability, FSx saturation) and routes to the appropriate sibling skill (hyperpod-node-debugger, hyperpod-nccl, hyperpod-version-checker, hyperpod-issue-report) for any remediation. Triggers on uneven NCCL across nodes, straggler node, FSx slow, checkpoint slow, dataloader slow, filesystem bottleneck, FSx throughput, cross-AZ latency, topology mismatch.
783
awslabs avatar
hyperpod-slurm-debugger

awslabs/agent-plugins

Diagnostic-only skill for Slurm scheduler and node-daemon issues on Amazon SageMaker HyperPod Slurm clusters. Scope mirrors the HyperPod troubleshooting guide. Invoke when the user reports a Slurm node stuck in down/drain, "Node unexpectedly rebooted" after auto-repair, slurmd not running, jobs stuck PENDING with REASON=Resources while sinfo shows idle nodes, jobs stuck COMPLETING after node replacement, GRES/GPU counts wrong, scontrol ping failing, slurmctld unresponsive, an Action:Reboot/Replace request that did not trigger HyperPod auto-recovery, or auto-resume not restarting a job. Also triggers on "drain before reboot", "diagnose a Slurm node", "investigate stuck jobs."
783
awslabs avatar
hyperpod-ssm

awslabs/agent-plugins

Remote command execution and file transfer on SageMaker HyperPod cluster nodes via AWS Systems Manager (SSM). This is the primary interface for accessing HyperPod nodes — direct SSH is not available. Use when any skill, workflow, or user request needs to execute commands on cluster nodes, upload files to nodes, read/download files from nodes, run diagnostics, install packages, or perform any operation requiring shell access to HyperPod instances. Other HyperPod skills depend on this skill for all node-level operations.
783
awslabs avatar
hyperpod-version-checker

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), 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.
783
awslabs avatar
model-deployment

awslabs/agent-plugins

Generates code that deploys fine-tuned models from SageMaker Serverless Model Customization to SageMaker endpoints or Bedrock. Use when the user says "deploy my model", "create an endpoint", "make it available", or asks about deployment options. Identifies the correct deployment pathway (Nova vs OSS), generates deployment code, and handles endpoint configuration.
783
awslabs avatar
model-selection

awslabs/agent-plugins

Selects a base model for the user's use case by querying SageMaker Hub. Use when the user asks which model to use, wants to select or change their base model, mentions a model name or family (e.g., "Llama", "Mistral", "Nova"), or wants to evaluate a base model — always activate even for known model names because the exact Hub model ID must be resolved. Queries available models, presents benchmarks and licenses, and confirms selection.
783