gke-ai-troubleshooting-tpu-vbar-oom SKILL.md skillA
gke-ai-troubleshooting-tpu-vbar-oom 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-ai-troubleshooting-tpu-vbar-oom@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-ai-troubleshooting-tpu-vbar-oom/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260807.d47bdf1, committed Aug 7, 2026
- Size
- 6,358 bytes
- Repository stars
- 124
- License
- Apache-2.0
Diagnoses and prevents vbar_control_agent segfaults, out-of-memory (OOM) errors, and TPU device initialization failures on TPU v6e nodes in GKE caused by race conditions during TPU device resets or high-frequency metrics polling. Use when troubleshooting vbar_control_agent crashes, memory cgroup OOMs in serial console logs, tpu-device-plugin metrics checksum corruption errors, or custom TPU metrics collection conflicts on GKE TPU v6e nodes. Don't use for general non-TPU container OOM…
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
# TPU Connection Failure and VBAR OOM Troubleshooting
Use this skill to systematically diagnose and prevent `vbar_control_agent`
segfaults and Out-Of-Memory (OOM) errors on TPU v6e nodes.
## ⚠️ Prerequisites
- Cloud Logging must be enabled for the project.
- Access to the project and cluster via `gcloud` or equivalent tool.
## 🔍 Diagnostic Workflow
### Step 0: Context Acquisition & Time Window Definition
Independently gather required context using available GCP/GKE tools or use the
provided `{variable}` placeholders:
- `{project_id}`: The GCP Project ID (e.g., `customer-ai-project-123`).
- `{cluster_name}`: The GKE Cluster Name (e.g., `tpu-cluster-prod`).
- `{node_name}`: The Node Name or Instance ID (e.g., `tpu-node-1`).
- `{workload_name}`: The Workload Name / JobSet Name (e.g.,
`my-training-job-456`).
- `{namespace}`: The Workload Namespace.
- `{issue_time}`: The timestamp of the issue (e.g., `2026-04-14T20:00:00Z`).
#### Time Handling & Execution Rules
1. **Window Calculation**: If an issue timestamp `{issue_time}` is provided,
calculate the query time window as `[{issue_time} - 30m]` to
`[{issue_time} + 30m]`.
…Read the whole file at its exact version.
How to install
mdr add gke-labs/kube-agents/gke-ai-troubleshooting-tpu-vbar-oom@sha256:92762cce7dd9d0d0The 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_5324dxnwq6iwg6s4)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Aug 7, 2026.
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 (6358 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 · 124 stars · license Apache-2.0 · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_5324dxnwq6iwg6s4 GET https://markdownregistry.com/api/v1/resolve?ref=gke-labs/kube-agents/gke-ai-troubleshooting-tpu-vbar-oom GET https://markdownregistry.com/api/v1/blob/92762cce7dd9d0d090ec4c8524dac875564f5a825fa5b990d44afbeb81dbb170
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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