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Gcp Cloud Functions

Listed
aj-geddes·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 aj-geddes/useful-ai-prompts --skill gcp-cloud-functions -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

aj-geddes

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 2 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.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: sdk.cloud.google.com.

    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

    sdk.cloud.google.comundeclared

    What it found

    • skills/gcp-cloud-functions/SKILL.md:39contacts sdk.cloud.google.com
      curl https://sdk.cloud.google.com | bash
    • skills/gcp-cloud-functions/references/cloud-function-creation-with-gcloud-cli.md:7contacts sdk.cloud.google.com
      curl https://sdk.cloud.google.com | bash

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 2 places.

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

    What it found

    • skills/gcp-cloud-functions/SKILL.md:39remote script piped into a shell
      curl https://sdk.cloud.google.com | bash
    • skills/gcp-cloud-functions/references/cloud-function-creation-with-gcloud-cli.md:7remote script piped into a shell
      curl https://sdk.cloud.google.com | bash

  • 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 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.

  • Pinned to a commit: passed

    Scanned aj-geddes/useful-ai-prompts at 3f5182cfd7.

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

Commit
3f5182cfd7
Manifest
skills/gcp-cloud-functions/SKILL.md
Scanned
6 files, 596 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 with Google Cloud Functions, allowing them to create, update, and delete serverless functions directly. It facilitates the automation of backend logic execution without managing underlying infrastructure.

When to use it

  • Automating event-driven workflows that require immediate serverless processing.
  • Deploying lightweight backend APIs triggered by external events like HTTP requests or Pub/Sub messages.
  • Scaling application logic dynamically based on demand without provisioning servers.
  • Integrating third-party services into existing GCP environments via code injection.

Key capabilities

  • Create new Cloud Functions instances programmatically.
  • Update existing function configurations and source code.
  • Delete unused or obsolete functions to manage resources.
  • Manage serverless compute resources within the Google Cloud ecosystem.

Example prompts

  • "Create a new GCP Cloud Function that triggers on HTTP requests to log incoming data."
  • "Update the runtime configuration of my existing Cloud Function to use Python 3.11."
  • "Delete all unused Cloud Functions in the production environment to reduce costs."

Tips & gotchas

Ensure your AI agent has appropriate IAM permissions to perform create, update, and delete operations on GCP resources before attempting execution. Be mindful of function memory limits and timeout constraints defined by Google Cloud when designing logic for these serverless tasks.