gke-workload-troubleshooting SKILL.md skillA

gke-workload-troubleshooting from gke-labs/kube-agents is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add gke-labs/kube-agents/gke-workload-troubleshooting@git:20261030.9eba8c7

Pins git:20261030.9eba8c7 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/cluster/persona/skills/gke-workload-troubleshooting/SKILL.md
Versions recorded
1
Latest version
git:20261030.9eba8c7, committed Oct 30, 2026
Size
9,215 bytes
Repository stars
124
License
Apache-2.0

Systematic Standard Operating Procedure (SOP) for diagnosing GKE workload failures, crash loops, resource OOMs, mounting errors, and connectivity timeouts.

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 Workload Troubleshooting Skill

Use this skill to systematically diagnose and resolve failures in application workloads deployed in GKE clusters. This skill enforces a read-only diagnostics boundary before proposing manifest or config corrections.

## 🔍 Diagnostic Workflow

### Step 0: Context Acquisition & Time Window Definition

To begin troubleshooting, acquire the following context from the user or the task's parameters:

- **Project ID** (e.g., `my-gcp-project`)
  - **Cluster Name** (e.g., `my-gke-cluster`)
  - **Cluster Location** (e.g., `us-central1`)
  - **Workload Name** (e.g., `payment-api`)
  - **Workload Namespace** (e.g., `checkout`)
  - **Issue Time** (Optional, e.g., `2026-06-01T15:30:00Z`)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add gke-labs/kube-agents/gke-workload-troubleshooting@sha256:9a6f999463473949

The line at the top of this page pins the label git:20261030.9eba8c7, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_4gfkwei7zydxvj6u.svg)](https://markdownregistry.com/a/art_4gfkwei7zydxvj6u)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Oct 30, 2026.

versioncommittedcommitsizeaudit
git:20261030.9eba8c7 latest2026-10-30 9eba8c7 9,215 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (9215 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

GitHub

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_4gfkwei7zydxvj6u
GET https://markdownregistry.com/api/v1/resolve?ref=gke-labs/kube-agents/gke-workload-troubleshooting
GET https://markdownregistry.com/api/v1/blob/9a6f999463473949552be02286b9568b2384eebc9e4be0f1ff943fdf9891ff8e

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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