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Terraform Stacks

Official
hashicorp·vlatest·cloud·MPL-2.0

Automates HashiCorp Terraform stack deployments, managing infrastructure as code across diverse cloud environments.

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 hashicorp/agent-skills --skill terraform-stacks -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

hashicorp

Matched to the vendor's own GitHub organisation.

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 1 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: app.terraform.io.

    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

    app.terraform.ioundeclared

    What it found

    • plugins/terraform/skills/terraform-stacks/references/troubleshooting.md:543contacts app.terraform.io
      curl "https://app.terraform.io/api/v2/stack-deployment-steps/{step-id}/stack-diagnostics"
    • plugins/terraform/skills/terraform-stacks/references/troubleshooting.md:556contacts app.terraform.io
      curl "https://app.terraform.io/api/v2/stack-deployment-steps/{step-id}/stack-diagnostics?stack_deployment_step_id={step-id}"

  • 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.

  • 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 hashicorp/agent-skills at f706481af9.

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

Commit
f706481af9
Manifest
plugins/terraform/skills/terraform-stacks/SKILL.md
Scanned
7 files, 3,935 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

The terraform-stacks skill enables AI agents to manage infrastructure as code using Terraform, allowing them to provision, modify, and destroy cloud resources across multiple providers. It supports defining and deploying complex infrastructure configurations through declarative configuration files.

When to use it

  • Automating the deployment of cloud resources such as virtual machines, databases, or networking components.
  • Managing multi-cloud environments with consistent infrastructure definitions.
  • Streamlining CI/CD pipelines by integrating Terraform into automated workflows for infrastructure changes.

Key capabilities

  • Declarative infrastructure management using Terraform configuration files (.tf).
  • Support for multiple cloud providers including AWS, Azure, and Google Cloud.
  • State management to track resource provisioning status across environments.

Example prompts

  • "Provision a new EC2 instance on AWS with a public IP address."
  • "Create a VPC and subnet structure in Azure using Terraform."
  • "Destroy all resources defined in the current Terraform configuration."

Tips & gotchas

  • Ensure that your AI agent has access to the necessary cloud provider credentials for authentication.
  • Use terraform init before applying changes to initialize the working directory with providers and modules.