Skip to content
TrustedSkillsbeta
Back to all skills

Terraform Module Builder

Checked
patricio0312rev·vlatest·cloud·MIT

Automates Terraform module creation from specifications, streamlining infrastructure code generation for cloud deployments.

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 patricio0312rev/skills --skill terraform-module-builder -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

patricio0312rev

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 patricio0312rev/skills at 79ea6af485.

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

Commit
79ea6af485
Manifest
ci-cd/terraform-module-builder/SKILL.md
Scanned
1 file, 608 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

The terraform-module-builder skill enables AI agents to generate, structure, and deploy Terraform modules for cloud infrastructure. It automates the creation of reusable configuration blocks that define resources across various providers.

When to use it

  • Rapidly prototype new cloud environments without writing boilerplate code from scratch.
  • Standardize infrastructure-as-code patterns across multiple projects or teams.
  • Generate complex resource definitions for services like AWS, Azure, or GCP based on high-level requirements.
  • Refactor existing monolithic Terraform files into modular, maintainable components.

Key capabilities

  • Generates valid HCL (HashiCorp Configuration Language) syntax for infrastructure resources.
  • Creates reusable module structures with proper input/output variable definitions.
  • Supports multiple cloud providers through provider-specific resource blocks.
  • Outputs ready-to-use .tf files that can be integrated into existing CI/CD pipelines.

Example prompts

  • "Create a Terraform module to provision an AWS S3 bucket with versioning enabled and public read access."
  • "Generate a reusable Azure Virtual Network module with subnets for web and app tiers."
  • "Build a GCP Compute Engine instance module that accepts machine type and zone as variables."

Tips & gotchas

Ensure your AI agent has access to the latest Terraform provider documentation to avoid generating deprecated resource types. Always validate generated modules using terraform plan before applying changes to prevent unintended infrastructure modifications.