gke-batch-hpc skillA
gke-batch-hpc is agent-read markdown (skill) from gke-labs/kube-agents: Runs batch and HPC workloads on GKE, utilizing job queues and parallel processing. Use when running GKE batch jobs, configuring GKE HPC, or setting up GKE job queues. Don't use for standard web application deployments (use gke-app-onboarding instead)..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# 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
```yaml
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).
```yaml
apiVersion: jobset.x-k8s.io/v1alpha2
kind: JobSet
metadata:
name: training-job
spec:
replicatedJobs:
- name: workers
replicas: 4
template:
spec:
parallelism: 1
…Read the whole file at its exact version.
How to install
mdr add gke-labs/kube-agents/gke-batch-hpc@git:20260807.d47bdf1mdr add gke-labs/kube-agents/gke-batch-hpc@sha256:87fdaa1574991365Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_pccditgfpmknj6lc)
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Versions
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (5678 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
gke-labs/kube-agents · 64 stars · license Apache-2.0 · pushed 2026-09-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_pccditgfpmknj6lc GET https://markdownregistry.com/api/v1/resolve?ref=gke-labs/kube-agents/gke-batch-hpc GET https://markdownregistry.com/api/v1/blob/87fdaa157499136591a1f4870e8e02d8443111e938d7decc70d7b71ffca2f965
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