gke-batch-hpc

gke-batch-hpc is a skill for Claude Code, Codex from gke-labs/kube-agents. It costs 60 tokens per session (1,432 once invoked), scanned A, a copy of gke-batch-hpc, Apache-2.0.

Guidance for running batch and high-performance computing workloads on Google Kubernetes Engine. Batch workloads run finite jobs such as data processing or machine-learning training, while high-performance computing uses many machines for large parallel calculations.

In plain words
What is it for?
Use it to configure Kubernetes Jobs or JobSets, run data pipelines, simulations, financial models, machine-learning training, parallel processing, and build farms.
Why use it?
It helps organise work that runs to completion or needs many workers, instead of treating it like a continuously running web application. It also provides patterns for retries, parallel work, and groups of related jobs.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to configure Kubernetes Jobs or JobSets, run data pipelines, simulations, financial models, machine-learning training, parallel processing, and build farms.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gke-labs/kube-agents/gke-batch-hpc
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add gke-labs/kube-agents --skill gke-batch-hpc
Clone the repo
git clone --depth 1 https://github.com/gke-labs/kube-agents

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for gke-batch-hpc

README.md
[![agentmods](https://agentmods.dev/badge/skills/gke-labs/kube-agents/gke-batch-hpc/github.svg)](https://agentmods.dev/skills/gke-labs/kube-agents/gke-batch-hpc)
Your own site
<a href="https://agentmods.dev/skills/gke-labs/kube-agents/gke-batch-hpc"><img src="https://agentmods.dev/badge/skills/gke-labs/kube-agents/gke-batch-hpc/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for gke-batch-hpc

Your own site · 80×15
<a href="https://agentmods.dev/skills/gke-labs/kube-agents/gke-batch-hpc"><img src="https://agentmods.dev/badge/skills/gke-labs/kube-agents/gke-batch-hpc.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,432 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00060 $0.01432
Opus 5 $0.00030 $0.00716
Sonnet 5 $0.00012 $0.00286
Haiku 4.5 $0.00006 $0.00143

Measured 11d ago against content hash 87fdaa157499, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

gke-batch-hpc scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to gke-batch-hpc — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

agents/platform/skills/gke-batch-hpc/SKILL.md · 219 lines

How it starts

The opening of the file, as written. The whole thing — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GKE Batch & HPC Workloads

This reference covers running batch processing and high-performance computing (HPC) workloads on GKE.

MCP Tools: apply_k8s_manifest, get_k8s_resource, describe_k8s_resource, get_k8s_logs, delete_k8s_resource, list_k8s_events

When to Use

  • Running batch data processing pipelines
  • HPC simulations (CFD, molecular dynamics, financial modeling)
  • Large-scale parallel computation (MPI, MapReduce)
  • ML training jobs
  • CI/CD build farms

Batch Processing on GKE

Kubernetes Jobs

apiVersion: batch/v1
kind: Job
metadata:
  name: batch-job
spec:
  parallelism: 10
  completions: 100
  backoffLimit: 3
  template:
    spec:
      containers:
      - name: worker
        image: <IMAGE>
        resources:
          requests:
            cpu: "1"
            memory: "2Gi"
      restartPolicy: Never

JobSet (for Complex Multi-Job Workflows)

The golden path enables JobSet monitoring (JOBSET in monitoringConfig).

apiVersion: jobset.x-k8s.io/v1alpha2
kind: JobSet
metadata:
  name: training-job
spec:
  replicatedJobs:
  - name: workers
    replicas: 4
    template:
      spec:
        parallelism: 1
        completions: 1
        template:
          spec:
            containers:
            - name: worker
              image: <IMAGE>
              resources:
                requests:
                  cpu: "4"
                  memory: "8Gi"

Kueue (Job Queuing)

Kueue manages job scheduling and resource allocation for batch workloads:

# Install Kueue
kubectl apply --server-side -f https://github.com/kubernetes-sigs/kueue/releases/latest/download/manifests.yaml
# Define a ClusterQueue
apiVersion: kueue.x-k8s.io/v1beta1
kind: ClusterQueue
metadata:
  name: batch-queue
spec:
  namespaceSelector: {}
  resourceGroups:
  - coveredResources: ["cpu", "memory"]
    flavors:
    - name: default
      resources:
      - name: "cpu"
        nominalQuota: 100
      - name: "memory"
        nominalQuota: "200Gi"
---
# Allow a namespace to use the queue
apiVersion: kueue.x-k8s.io/v1beta1
kind: LocalQueue
metadata:
  name: batch-local
  namespace: batch-jobs
spec:
  clusterQueue: batch-queue

Read the full file on GitHub · 219 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 219 lines · 60 tokens per session scan A 87fdaa157499

Subscribe to this mod's changes

gke-batch-hpc is a skill published in the GitHub repository gke-labs/kube-agents (53 stars, last pushed today), licensed Apache-2.0. It adds 60 tokens to every session and 1,432 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to gke-batch-hpc, differing in 0 lines, and is treated as a copy.

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