Gcp Cloud Sql
CheckedProvides 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
Run this in your project
terminal$ npx skills add bagelhole/devops-security-agent-skills --skill gcp-cloud-sql -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto 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.
Automated safety checks
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.
- Commit
- 0365f57a07
- Scanned
- 1 file, 244 lines
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.