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Gcp Cloud Run

Checked
omer-metin·vlatest·cloud·Apache-2.0

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 omer-metin/skills-for-antigravity --skill gcp-cloud-run -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

omer-metin

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 omer-metin/skills-for-antigravity at e8dcf4e873.

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

Commit
e8dcf4e873
Manifest
skills/gcp-cloud-run/SKILL.md
Scanned
4 files, 1,592 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 deploy and manage containerized applications on Google Cloud Run. It automates the process of building, deploying, and scaling applications without needing to manage underlying infrastructure. The agent can handle tasks like setting environment variables, configuring traffic routing, and monitoring application health.

When to use it

  • Deploying a new microservice: Quickly get a containerized service up and running on Cloud Run.
  • Automating deployments: Trigger deployments based on code changes or scheduled events.
  • Scaling an existing application: Automatically adjust resources to handle varying traffic loads.
  • Managing multiple environments (dev, staging, production): Easily switch between different Cloud Run deployments for various stages of development.

Key capabilities

  • Deploy container images
  • Manage environment variables
  • Configure traffic routing
  • Monitor application health

Example prompts

  • "Deploy my Docker image my-repo/my-app:latest to Cloud Run."
  • "Set the environment variable DATABASE_URL to your_database_url in my Cloud Run service."
  • "Route 90% of traffic to version 'v2' of my application on Cloud Run."

Tips & gotchas

  • Requires appropriate Google Cloud credentials configured for the AI agent.
  • Ensure your Docker image is built and pushed to a container registry (e.g., Google Container Registry or Artifact Registry) before deployment.