k8s-troubleshoot

k8s-troubleshoot is a command for GitHub Copilot from VersusControl/devops-ai-guidelines. It costs 11 tokens per session (209 once invoked), scanned A, original, MIT.

A diagnostic workflow for a misbehaving Kubernetes workload. It checks pod status, restart counts, recent events, image or scheduling failures, and container logs before summarising the likely cause.

In plain words
What is it for?
Use it to investigate non-ready pods, identify likely causes such as crashes or image-pull failures, and recommend the next action without making changes automatically.
Why use it?
It replaces a broad guess about why an application is failing with a repeatable check of the workload's state and recent evidence.

Command for GitHub Copilot

Written for GitHub Copilot: a Copilot chat mode or prompt.

Good fit Use it to investigate non-ready pods, identify likely causes such as crashes or image-pull failures, and recommend the next action without making changes automatically.

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Install with agentmods
npx agentmods add commands/versuscontrol/devops-ai-guidelines/k8s-troubleshoot
About the project

DevOps AI Guidelines is a learning and guidance repository for using artificial intelligence in DevOps, including paths toward AI infrastructure architecture and enterprise adoption. It is for DevOps engineers, teams introducing AI, and technical leaders planning AI-enabled operations. The catalogue instruction provides an agent-facing part of these guidelines.

VersusControl/devops-ai-guidelines · 1,527 stars · on GitHub · versusincident.com

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/VersusControl/devops-ai-guidelines

Made for: GitHub Copilot.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for k8s-troubleshoot

README.md
[![agentmods](https://agentmods.dev/badge/commands/versuscontrol/devops-ai-guidelines/k8s-troubleshoot/github.svg)](https://agentmods.dev/commands/versuscontrol/devops-ai-guidelines/k8s-troubleshoot)
Your own site
<a href="https://agentmods.dev/commands/versuscontrol/devops-ai-guidelines/k8s-troubleshoot"><img src="https://agentmods.dev/badge/commands/versuscontrol/devops-ai-guidelines/k8s-troubleshoot/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for k8s-troubleshoot

Your own site · 80×15
<a href="https://agentmods.dev/commands/versuscontrol/devops-ai-guidelines/k8s-troubleshoot"><img src="https://agentmods.dev/badge/commands/versuscontrol/devops-ai-guidelines/k8s-troubleshoot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 11 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 209 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00011 $0.00209
Opus 5.5 $0.00004 $0.00084
Sonnet 5 $0.00002 $0.00042
Haiku 4.5 $0.00001 $0.00021

Measured 11d ago against content hash 1d59dd25c823, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-28, from the pricing page.

Security

Grade A, and why

k8s-troubleshoot scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

02-mcp-for-devops/code/05/.github/prompts/k8s-troubleshoot.prompt.md · 25 lines

What it actually says

You are diagnosing ${input:resource:resource kind and name (e.g. "pod nginx")} in namespace ${input:namespace:namespace}.

Follow this checklist and call MCP tools as needed:

  1. Run list_pods filtered to the namespace and identify pods in non-Ready states.
  2. For each suspect pod, run describe_resource and surface:
    • Container restart counts
    • Events from the last 15 minutes
    • Image pull or scheduling failures
  3. Pull the last 200 lines of logs via get_pod_logs for each affected container.
  4. Produce a root-cause summary with:
    • Symptom
    • Likely cause
    • Recommended next action (do not execute mutations without confirmation)
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 25 lines · 11 tokens per session scan A 1d59dd25c823

Subscribe to this mod's changes

k8s-troubleshoot is a command published in the GitHub repository VersusControl/devops-ai-guidelines (1,527 stars, last pushed 3d ago), licensed MIT. It adds 11 tokens to every session and 209 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-17.