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Gcp Compute

Checked
bagelhole·vlatest·cloud·MIT

Provides Google Cloud guidance and assistance for deploying and managing cloud infrastructure.

Repository

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 bagelhole/devops-security-agent-skills --skill gcp-compute -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

bagelhole

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

    Only contacts known or declared hosts: metadata.google.internal.

    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.

    Hosts contacted

    metadata.google.internallocal

  • 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 bagelhole/devops-security-agent-skills at 0365f57a07.

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

Commit
0365f57a07
Manifest
infrastructure/cloud-gcp/gcp-compute/SKILL.md
Scanned
1 file, 286 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 allows AI agents to interact with Google Compute Engine (GCE) resources. It enables tasks like listing virtual machine instances, retrieving instance details including status and metadata, and managing compute engine zones. The agent can also be used to query for information about available regions and zones within GCP.

When to use it

  • Troubleshooting VM issues: Quickly check the status of a Compute Engine instance to diagnose performance or connectivity problems.
  • Resource inventory: Generate a list of all running virtual machines in a specific Google Cloud project.
  • Zone availability checks: Determine which zones are available for deploying new resources.
  • Metadata retrieval: Obtain metadata associated with a particular VM, such as tags or custom properties.

Key capabilities

  • Listing Compute Engine instances
  • Retrieving instance details (status, metadata)
  • Querying for available regions and zones
  • Managing compute engine zones

Example prompts

  • "List all running virtual machines in the 'my-gcp-project' project."
  • "What is the status of VM named 'webserver-01'?"
  • "Show me the metadata associated with instance 'database-prod'."
  • “Which zones are available in us-central1?”

Tips & gotchas

  • Requires appropriate Google Cloud credentials and permissions to access Compute Engine resources. Ensure your AI agent has been configured with a service account or user account that possesses sufficient privileges.