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Gcp Cloud Sql

Checked
bagelhole·vlatest·cloud·MIT

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

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-cloud-sql -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

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

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

Scanned
1 file, 244 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 SQL, allowing them to manage databases like MySQL and PostgreSQL. It facilitates tasks such as creating new instances, listing existing ones, and retrieving information about database configurations. The agent can also perform actions related to backups and user management within the Cloud SQL environment.

When to use it

  • Database provisioning: Automate the creation of new Cloud SQL instances for development or testing environments.
  • Monitoring database health: Retrieve metrics like CPU usage, memory consumption, and storage capacity to proactively identify potential issues.
  • Backup management: Schedule and manage backups of critical databases to ensure data recovery capabilities.
  • User access control: Manage user accounts and permissions within Cloud SQL instances for enhanced security.

Key capabilities

  • Create new Cloud SQL instances
  • List existing Cloud SQL instances
  • Retrieve database configuration details
  • Manage database backups
  • User management within Cloud SQL

Example prompts

  • "Create a MySQL instance named 'dev-db' in the us-central1 region."
  • "What are the CPU utilization metrics for my production PostgreSQL database?"
  • "List all existing Cloud SQL instances and their status."
  • “Schedule a daily backup of the ‘production_mysql’ database.”

Tips & gotchas

  • Requires appropriate Google Cloud credentials to be configured for the AI agent.
  • Be mindful of region specifications when creating or managing resources, as actions are region-specific.