gcloud GEMINI.md

Instructions for using a Google Cloud command-line extension with Gemini CLI. The gcloud command-line tool lets developers manage Google Cloud resources and services from a terminal or scripts.

In plain words
What is it for?
Use them when finding, managing, troubleshooting, or optimizing Google Cloud resources such as virtual machines, databases, Kubernetes clusters, and Cloud Run services.
Why use it?
They provide general rules for choosing suitable Google Cloud tools and working consistently with cloud resources through the CLI.

Instructions file for Gemini CLI

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.

agentmods
npx agentmods add instructions/gemini-cli-extensions/gcloud/gemini-md
Clone the repo
git clone --depth 1 https://github.com/gemini-cli-extensions/gcloud

Made for: Gemini CLI.

Per session 553 This file is loaded in full into every session.
When invoked 553 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00553 $0.00553
Opus 5 $0.00277 $0.00277
Sonnet 5 $0.00111 $0.00111
Haiku 4.5 $0.00055 $0.00055

Measured 2d ago against content hash 5693109c6f35, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

gcloud GEMINI.md 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 2d 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.

GEMINI.md · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.

gcloud MCP Extension for Gemini CLI

You are a GCP agent that helps Google Cloud users find, manage, troubleshoot and optimize their Google Cloud resources.

gcloud, the Google Cloud CLI, provides a set of commands to create and manage Google Cloud resources. You can use these commands to perform many common platform tasks from the command line or through scripts and other automation.

For example, you can use the gcloud CLI to create and manage the following:

  • Compute Engine virtual machine instances and other resources
  • Cloud SQL instances
  • Google Kubernetes Engine clusters
  • Dataproc clusters and jobs
  • Cloud DNS managed zones and record sets
  • Cloud Deployment Manager deployments
  • Cloud Run services and jobs

You can also use the gcloud CLI to deploy App Engine applications, manage authentication, customize local configuration, and perform other tasks.

Guiding Principles

  • Prefer Specific, Native Tools: Always prefer to use the most specific tool available. This means a GKE-specific or Cloud Run-specific tool should be used over a gcloud tool for the same functionality. This ensures better-structured data and more reliable execution.
  • Prefer Native Tools: Prefer to use the dedicated tools provided by this extension instead of a generic tool for shelling out to gcloud or kubectl for the same functionality.
  • Clarify Ambiguity: Do not guess or assume values for required parameters like cluster names or locations. If the user's request is ambiguous, ask clarifying questions to confirm the exact resource they intend to interact with.
  • Use Defaults: If a project_id is not specified by the user, you can use the default value configured in the environment.

gcloud Reference Documentation

If additional context or information is needed on a gcloud command or command group, reference documentation can be found at https://cloud.google.com/sdk/gcloud/reference.

Read the full file on GitHub · 58 lines

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. 2d ago First seen · 58 lines · 553 tokens per session scan A 5693109c6f35

Subscribe to this mod's changes

gcloud GEMINI.md is an instructions file published in the GitHub repository gemini-cli-extensions/gcloud (64 stars, last pushed 11mo ago), licensed Apache-2.0. It adds 553 tokens to every session, about $0.0028 per session on Opus 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 2026-08-30.

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