gke-compute-classes skillA
gke-compute-classes is agent-read markdown (skill) from gke-labs/kube-agents: Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto Provisioning configuration or general GKE cluster creation..
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
<!-- disableFinding(LINE_OVER_80) -->
# GKE ComputeClasses
Guidance on configuring, optimizing, and troubleshooting GKE ComputeClasses.
## When to Use
- **Cost optimization:** Spot VMs with on-demand fallback.
- **GPU/TPU workloads:** Target specific accelerators (e.g., L4, H100, v5p).
- **Performance tuning:** Select specific machine families (c3, c4, n4).
- **Zone targeting:** Colocate workloads with zonal resources.
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## Engagement Rules: Generalized First, Refine Later
ComputeClasses depend on zone availability, CUDs, and workload constraints. **Do
not block the user's initial request.** If asked for YAML/recommendations:
1. **Provide Generalized Answer Immediately:** Fulfill request using best
practices and placeholders (`<YOUR-ZONE-HERE>`).
* **CRITICAL CUD RULE:** You MUST state that the provided machine families
(e.g., N4, C4) are generic best-practice examples. You MUST explicitly
state that the final choice of machine family should be aligned with the
user's existing Committed Use Discounts (CUDs) or Reservations.
…Read the whole file at its exact version.
How to install
mdr add gke-labs/kube-agents/gke-compute-classes@git:20260807.d47bdf1mdr add gke-labs/kube-agents/gke-compute-classes@sha256:229307c017b3b58dPin 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_itrtdolf4gq7k2oa)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260807.d47bdf1 latest | 2026-08-07 | d47bdf1 | 20,992 B | A | view · diff |
| git:20260714.00e19a9 | 2026-07-14 | 00e19a9 | 19,944 B | A | view |
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 (20992 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_itrtdolf4gq7k2oa GET https://markdownregistry.com/api/v1/resolve?ref=gke-labs/kube-agents/gke-compute-classes GET https://markdownregistry.com/api/v1/blob/229307c017b3b58d72ffc7b4a3cf71a70ff86356a0e56332847e952684078070
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