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Terraform Gcp

Checked
bagelhole·vlatest·cloud·MIT

Helps with Terraform, Google Cloud as part of deploying and managing cloud infrastructure workflows.

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 bagelhole/devops-security-agent-skills --skill terraform-gcp -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.

Commit
0365f57a07
Manifest
infrastructure/cloud-gcp/terraform-gcp/SKILL.md
Scanned
2 files, 459 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 manage Google Cloud Platform (GCP) resources using Terraform. It can create, modify, and destroy GCP infrastructure as defined in Terraform configuration files. The agent can execute Terraform commands like init, plan, and apply to automate cloud provisioning and management tasks.

When to use it

  • Automated Infrastructure Provisioning: Quickly deploy new environments or resources in GCP without manual intervention.
  • Infrastructure as Code (IaC) Management: Manage existing Terraform configurations, applying changes and ensuring consistency across your GCP infrastructure.
  • Disaster Recovery Planning: Generate a plan to recreate your GCP environment from Terraform code for disaster recovery purposes.
  • Security Auditing: Review Terraform plans to identify potential security misconfigurations before deployment.

Key capabilities

  • Terraform command execution (init, plan, apply, destroy)
  • GCP resource management via Terraform
  • Infrastructure as Code automation

Example prompts

  • "Run a Terraform plan against my GCP configuration located at /path/to/terraform."
  • "Apply the latest changes defined in my Terraform code to my GCP project."
  • "Show me the Terraform plan for creating a new Google Compute Engine instance."

Tips & gotchas

  • Requires access to a GCP project and appropriate credentials configured within your Terraform environment.
  • The agent needs sufficient permissions within GCP to perform the actions defined in the Terraform configuration.