gke-cost-analysis SKILL.md skillA

gke-cost-analysis 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-cost-analysis@git:20261019.895f23d

Pins git:20261019.895f23d 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-cost-analysis/SKILL.md
Versions recorded
4
Latest version
git:20261019.895f23d, committed Oct 19, 2026
First version recorded
Jul 10, 2026
Size
9,710 bytes
Repository stars
124
License
Apache-2.0

Answer natural language questions and perform analysis on GKE cluster and workload costs using BigQuery billing exports, cost allocation data, and live cluster monitoring metrics. Use when querying GKE costs across projects, namespaces, or workloads, analyzing billing reports in BigQuery (`bq`), checking cluster cost budgets (`gcloud billing`), or diagnosing cost drivers like pod requests vs. actual utilization (`kubectl top`). Don't use for applying cost optimization changes, creating…

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 Cost Analysis

This skill provides guidance on answering natural language questions about
GKE-related costs, billing reports, and utilization analysis.

## Overview

When users ask about GKE costs (e.g., "What are my costs across projects?",
"What's my most expensive namespace?", "Why is my cluster cost spiking?"), use
this skill to provide a structured and expert response using BigQuery billing
exports, cost allocation metadata, and live cluster metrics.

## Instructions

When handling a cost-related question:

1.  **Provide a Direct Answer**: Address the specific cost question or
    analytical request clearly and concisely.
2.  **Explain BigQuery Integration**: Explain how to query BigQuery for
    historical cost breakdown. Note that GKE costs originate from the GCP
    Billing Detailed BigQuery Export (`gcp_billing_export_resource_v1_*`).
3.  **Check & Verify Cost Allocation**: Explain that GKE Cost Allocation must be
    enabled on the cluster (`--enable-cost-allocation`) for namespace, label,
    and workload-level billing granularity. If queries return empty labels,
    provide the `gcloud` command to enable it.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add gke-labs/kube-agents/gke-cost-analysis@sha256:7ba704ef0691fa09

The line at the top of this page pins the label git:20261019.895f23d, 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_m7zzuacuzamxslk2.svg)](https://markdownregistry.com/a/art_m7zzuacuzamxslk2)

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

Versions

The registry has recorded 4 versions of this file, between Jul 10, 2026 and Oct 19, 2026, about one every 34 days.

versioncommittedcommitsizeaudit
git:20261019.895f23d latest2026-10-19 895f23d 9,710 BA view · diff
git:20261016.adf067f2026-10-16 adf067f 9,098 BA view · diff
git:20260807.d47bdf12026-08-07 d47bdf1 7,875 BA view · diff
git:20260710.9319bce2026-07-10 9319bce 4,127 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 (9710 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_m7zzuacuzamxslk2
GET https://markdownregistry.com/api/v1/resolve?ref=gke-labs/kube-agents/gke-cost-analysis
GET https://markdownregistry.com/api/v1/blob/7ba704ef0691fa095363b76c0681b517c674acae314c7f04d3146f969d313d65

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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