gke-tpu-metrics-monitoring SKILL.md skillA
gke-tpu-metrics-monitoring from gke-labs/kube-agents is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add gke-labs/kube-agents/gke-tpu-metrics-monitoring@git:20260807.d47bdf1Pins git:20260807.d47bdf1 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- gke-labs/kube-agents
- Path
agents/platform/skills/gke-tpu-metrics-monitoring/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260807.d47bdf1, committed Aug 7, 2026
- Size
- 7,050 bytes
- Repository stars
- 124
- License
- Apache-2.0
Monitors and troubleshoots GKE TPU workloads, nodes, and node pools using GKE system metrics and PromQL. Use when monitoring TensorCore duty cycle, TPU memory, node readiness, multi-host TPU node pool availability, host maintenance or preemption interruptions, and calculating MTTR or MTBI metrics for GKE TPUs. Don't use for general non-TPU GKE workload monitoring or non-metric TPU debugging.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# GKE TPU Metrics Monitoring Guide
This skill enables the agent to monitor GKE TPU workloads, nodes, and node pools using GKE system metrics. It helps diagnose if workload interruptions or performance issues are caused by underlying infrastructure.
## Step 0: Mandatory Context
Independently gather required context (such as cluster details or node pool names) using available GKE and Cloud tools, or use the provided `{variable}` placeholders:
- `{project_id}`: The GCP Project ID.
- `{cluster_name}`: The GKE Cluster Name.
- `{location}`: The GKE Cluster Location (region or zone).
- `{node_name}`: (Optional) The name of the specific GKE node.
- `{node_pool_name}`: (Optional) The name of the GKE node pool.
---
## Diagnostic Steps
### Step 1: Verify TPU Runtime Metrics Configuration [Low Risk] [Auto]
Before analyzing runtime metrics, verify that the workload is configured to export them.
- **Action**: Verify that the Pod specification for the TPU workload includes:
- `containerPort: 8431`
- JAX version `0.4.14` or later (if using JAX).
- GKE version is `1.27.4-gke.900` or later.
- GKE System Metrics are enabled on the cluster.
…Read the whole file at its exact version.
How to install
mdr add gke-labs/kube-agents/gke-tpu-metrics-monitoring@sha256:e073840ef083695dThe line at the top of this page pins the label git:20260807.d47bdf1, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_tb35wvqtnajyhwpp)
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Versions
The registry has recorded 1 version of this file, committed on Aug 7, 2026.
Audit of the latest version
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- 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
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- pass: No link to a raw IP address
- pass: No script tag
Source
gke-labs/kube-agents · 124 stars · license Apache-2.0 · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_tb35wvqtnajyhwpp GET https://markdownregistry.com/api/v1/resolve?ref=gke-labs/kube-agents/gke-tpu-metrics-monitoring GET https://markdownregistry.com/api/v1/blob/e073840ef083695daea9ae75bbbafb69c8c48b38b753b15d7c3427a732340602
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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