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Gcloud Usage

Checked
fcakyon·vlatest·cloud·Apache-2.0

This skill provides detailed Google Cloud usage reports via `gcloud`, helping you understand and optimize your cloud spending.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add fcakyon/claude-codex-settings --skill gcloud-usage -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

fcakyon

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned fcakyon/claude-codex-settings at 8c25677efb.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
1 file, 141 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to interact directly with the Google Cloud SDK, allowing for programmatic management of cloud resources. It facilitates tasks such as listing projects, managing services, and executing CLI commands within a configured environment.

When to use it

  • Automating routine infrastructure checks like verifying instance status or disk usage.
  • Deploying applications by triggering gcloud build and release pipelines.
  • Retrieving specific resource metadata (e.g., IAM roles, network configurations) for reporting.
  • Executing ad-hoc administrative tasks across multiple Google Cloud projects without manual login.

Key capabilities

  • Executes standard gcloud CLI commands via natural language instructions.
  • Manages authentication contexts and project selection automatically.
  • Supports filtering and formatting of output data returned by cloud queries.
  • Integrates with existing claude-codex-settings for seamless agent configuration.

Example prompts

  • "List all active compute instances in the us-central1 region."
  • "Check the current quota limits for Cloud SQL in my primary project."
  • "Run a health check on our Kubernetes cluster and summarize the results."

Tips & gotchas

Ensure your AI agent has valid OAuth credentials with sufficient permissions before attempting resource management. This skill relies on the underlying gcloud CLI being installed and configured correctly within the agent's environment; errors often stem from missing authentication or incorrect project IDs rather than the skill itself.