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Gcp Cloud Run

Listed
sickn33·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 sickn33/agentic-awesome-skills --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

sickn33

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 sickn33/antigravity-awesome-skills at 5a4cdd9df8.

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

Commit
5a4cdd9df8
Manifest
skills/gcp-cloud-run/SKILL.md
Scanned
0 files
Copies in repo
3 — all of them scanned
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

The GCP Cloud Run skill enables AI agents to interact with Google Cloud Run, a managed compute platform that allows developers to run stateless containers without managing the underlying infrastructure. It supports deploying, managing, and scaling containerized applications on Google Cloud.

When to use it

  • Deploying microservices or serverless functions quickly on GCP.
  • Automating CI/CD pipelines for container-based applications hosted on Cloud Run.
  • Managing application scaling and monitoring within a GCP environment.
  • Setting up event-driven workflows that trigger Cloud Run services.

Key capabilities

  • Deployment of containerized applications to Google Cloud Run.
  • Integration with GCP authentication and permissions management.
  • Support for logging, monitoring, and debugging deployed services.
  • Ability to manage service configurations and revisions.

Example prompts

  • "Deploy my Docker image gcr.io/my-project/app:latest to Cloud Run."
  • "Scale the Cloud Run service 'my-service' to 5 instances."
  • "Show me the logs for the latest revision of the 'my-app' Cloud Run service."

Tips & gotchas

  • Ensure your AI agent has proper GCP credentials and permissions before attempting deployment.
  • Be mindful of cost implications, as Cloud Run charges based on CPU and memory usage.