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Official agent skill

Hyperpod Issue Report

by awslabs in awslabs/agent-plugins

Generate comprehensive issue reports from HyperPod clusters (EKS and Slurm) by collecting diagnostic logs and configurations for troubleshooting and AWS Support cases.

OfficialApache-2.0Auto-check passedDevOps & Cloud

Install Hyperpod Issue Report

skills CLI
$ npx skills add awslabs/agent-plugins --skill hyperpod-issue-report -a claude-code

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

GitHub CLI
$ gh skill install awslabs/agent-plugins hyperpod-issue-report --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-issue-report .claude/skills/hyperpod-issue-report && 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-issue-report
GitHub stars
915
Used in
1 other repo
Token cost
~890 tokens
SKILL.md length
277 words
Files
4 (incl. scripts, references)
Skills in repo
33
Repo updated
First seen
Licence
Apache-2.0

At a glance

Generate comprehensive issue reports from HyperPod clusters (EKS and Slurm) by collecting diagnostic logs and configurations for troubleshooting and AWS Support cases.

  • Works in 4 steps: Gather Information → Verify Environment → Run the Collection Script → …
  • Users need to collect diagnostics from HyperPod cluster nodes
  • SKILL.md covers Prerequisites, Workflow and Troubleshooting
  • Runs Python scripts from its folder; calls aws and uv

What it does

Hyperpod Issue Report is an agent skill from awslabs/agent-plugins, published by the product's own GitHub organization. Generate comprehensive issue reports from HyperPod clusters (EKS and Slurm) by collecting diagnostic logs and configurations for troubleshooting and AWS Support cases. Use when users need to collect diagnostics from HyperPod cluster nodes, generate issue reports for AWS Support, investigate node failures or performance problems, document cluster state, or create diagnostic snapshots. Triggers on requests involving issue reports, diagnostic collection, support case preparation, or cluster troubleshooting that…

Its SKILL.md is about 890 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/collection-details.md`, `references/troubleshooting.md` and `scripts/hyperpod_issue_report.py`).

It sits in DevOps & Cloud. It works with Amazon Web Services, Amazon SageMaker, Amazon S3 and Kubernetes. 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

  • Users need to collect diagnostics from HyperPod cluster nodes
  • Generate issue reports for AWS Support
  • Investigate node failures
  • Performance problems

Example prompts

  • “/hyperpod-issue-report”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Gather Information
  2. Verify Environment
  3. Run the Collection Script
  4. Present Results

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/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • aws
    • uv

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

  • Network

    Links to these hosts (documentation or services it may open):

    • docs.astral.sh

    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 Issue Report loads about 890 tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 151 tokens; SKILL.md has 277 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~151
When it runs · the whole SKILL.md, loaded when a task matches
~890
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.7k

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). 277 words, ~890 tokens.

Download SKILL.mdSave it as .claude/skills/hyperpod-issue-report/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
hyperpod-issue-report
description
Generate comprehensive issue reports from HyperPod clusters (EKS and Slurm) by collecting diagnostic logs and configurations for troubleshooting and AWS Support cases. Use when users need to collect diagnostics from HyperPod cluster nodes, generate issue reports for AWS Support, investigate node failures or performance problems, document cluster state, or create diagnostic snapshots. Triggers on requests involving issue reports, diagnostic collection, support case preparation, or cluster troubleshooting that requires gathering logs and system information from multiple nodes.
metadata.version
1.0.0

HyperPod Issue Report

Collect diagnostic logs from HyperPod cluster nodes via SSM, store results in S3. Supports both EKS and Slurm clusters with auto-detection. Uses the bundled scripts/hyperpod_issue_report.py for reliable parallel collection.

Prerequisites

  • AWS CLI configured with permissions: sagemaker:DescribeCluster, sagemaker:ListClusterNodes, ssm:StartSession, s3:PutObject, s3:GetObject, eks:DescribeCluster
  • Python 3.8+ and uv (see uv installation docs for install options)
  • SSM Agent running on target nodes; node IAM roles need s3:GetObject/s3:PutObject on the report bucket
  • For EKS clusters: kubectl installed and configured (see Workflow step 2)

Workflow

1. Gather Information

Collect from the user:

  • Cluster identifier (required): accepts cluster name or full cluster ARN (e.g., arn:aws:sagemaker:us-west-2:123456789012:cluster/abc123)
  • AWS region (required unless extractable from ARN)
  • S3 path for report storage (required, e.g. s3://bucket/prefix). If the user doesn't have a bucket, create one (e.g., s3://hyperpod-diagnostics-<account-id>-<region>)
  • Issue description (optional)
  • Target scope: all nodes, specific instance groups, or specific node IDs (optional)
2. Verify Environment
bash
aws sts get-caller-identity
aws sagemaker describe-cluster --cluster-name <name-or-arn> --region <region>

If the S3 bucket doesn't exist, create it:

bash
aws s3 mb s3://<bucket-name> --region <region>

For EKS clusters (check Orchestrator.Eks in describe-cluster output):

  1. Ensure kubectl is installed (which kubectl). If missing, install it for the current platform.

  2. Configure kubeconfig using the EKS cluster name from the describe-cluster response:

    bash
    aws eks update-kubeconfig --name <eks-cluster-name> --region <region>
3. Run the Collection Script
bash
uv run scripts/hyperpod_issue_report.py \
  --cluster <cluster-name-or-arn> \
  --region <region> \
  --s3-path s3://<bucket>[/prefix]

Use --help for all options including --instance-groups, --nodes, --max-workers, and --debug. Note: --instance-groups and --nodes are mutually exclusive. Node identifiers accept instance IDs (i-*), EKS names (hyperpod-i-*), or Slurm names (ip-*).

4. Present Results

After collection, the script shows statistics and offers interactive download. Report the S3 location and offer to:

  • Download the report locally
  • Help analyze collected diagnostics (see references/collection-details.md for what's in each file)
  • Prepare a summary for AWS Support

Troubleshooting

See references/troubleshooting.md for error handling, large cluster tuning, and known limitations.

© 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 3 other files (scripts, references) in plugins/sagemaker-ai/skills/hyperpod-issue-report of awslabs/agent-plugins.

  • SKILL.md
  • references/collection-details.md
  • references/troubleshooting.md
  • scripts/hyperpod_issue_report.py

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 Issue Report 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 Issue Report compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Hyperpod Issue Report this skillawslabs/agent-plugins9151 repos~890Automated safety check: PassApache-2.0
AWS Eks Operations Reviewaws/tools-for-devops-agent100—~3kAutomated safety check: PassApache-2.0
Senior DevOps Toolkitmaslennikov-ig/claude-code-orchestrator-kit2606 repos~1.1kAutomated safety check: NotesCustom licence
Install Boltmcpboltmcp/boltmcp371—~2.3kAutomated safety check: PassNone
Provider Bug Reviewmondoohq/mql411—~2.9kAutomated safety check: PassCustom licence
Kcli Cluster Deploymentkarmab/kcli653—~1.5kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Hyperpod Issue Report

What does Hyperpod Issue Report do?

Generate comprehensive issue reports from HyperPod clusters (EKS and Slurm) by collecting diagnostic logs and configurations for troubleshooting and AWS Support cases. Hyperpod Issue Report is an agent skill from awslabs/agent-plugins, published by the product's own GitHub organization. Generate comprehensive issue reports from HyperPod clusters (EKS and Slurm) by collecting diagnostic logs and configurations for troubleshooting and AWS Support cases.

When should I use Hyperpod Issue Report?

Hyperpod Issue Report fits situations like: users need to collect diagnostics from HyperPod cluster nodes; generate issue reports for AWS Support; investigate node failures; performance problems.

How do I install Hyperpod Issue Report in Claude Code?

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

How do I install Hyperpod Issue Report in Codex?

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

Can I use Hyperpod Issue Report 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-issue-report -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-issue-report, .gemini/skills/hyperpod-issue-report, .github/skills/hyperpod-issue-report and .opencode/skills/hyperpod-issue-report in your project.

What does Hyperpod Issue Report need to run?

Going by SKILL.md and its folder, Hyperpod Issue Report needs Python for the scripts in its folder and the command-line tools its instructions call (aws and uv). Our summary lists: Python 3.

Does Hyperpod Issue Report access the network?

SKILL.md names 1 domain. As links in the text: docs.astral.sh. This is read from the text; nothing was executed.

Is Hyperpod Issue Report 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 Issue Report use?

Hyperpod Issue Report 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 Issue Report use?

About 890 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. Its references folder adds about 1.8k tokens, read only when the agent opens those files.

What are the alternatives to Hyperpod Issue Report?

Skills that share tags, products or a category with Hyperpod Issue Report: AWS Eks Operations Review (aws/tools-for-devops-agent, 100 stars), Senior DevOps Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 260 stars), Install Boltmcp (boltmcp/boltmcp, 371 stars) and Provider Bug Review (mondoohq/mql, 411 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Hyperpod Issue Report?

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.