terraform-patterns

这段内容是审核时保存的快照。外部来源才是完整且最新的版本。

---
name: "terraform-patterns"
description: "Terraform infrastructure-as-code agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Covers module design patterns, state management strategies, provider configuration, security hardening, policy-as-code with Sentinel/OPA, and CI/CD plan/apply workflows. Use when: user wants to design Terraform modules, manage state backends, review Terraform security, implement multi-region deployments, or follow IaC best practices."
license: MIT
metadata:
  version: 1.0.0
  author: Alireza Rezvani
  category: engineering
  updated: 2026-03-15
---

# Terraform Patterns

> Predictable infrastructure. Secure state. Modules that compose. No drift.

Opinionated Terraform workflow that turns sprawling HCL into well-structured, secure, production-grade infrastructure code. Covers module design, state management, provider patterns, security hardening, and CI/CD integration.

Not a Terraform tutorial — a set of concrete decisions about how to write infrastructure code that doesn't break at 3 AM.

---

## Slash Commands

| Command | What it does |
|---------|-------------|
| `/terraform:review` | Analyze Terraform code for anti-patterns, security issues, and structure problems |
| `/terraform:module` | Design or refactor a Terraform module with proper inputs, outputs, and composition |
| `/terraform:security` | Audit Terraform code for security vulnerabilities, secrets exposure, and IAM misconfigurations |

---

## When This Skill Activates

Recognize these patterns from the user:

- "Review this Terraform code"
- "Design a Terraform module for..."
- "My Terraform state is..."
- "Set up remote state backend"
- "Multi-region Terraform deployment"
- "Terraform security review"
- "Module structure best practices"
- "Terraform CI/CD pipeline"
- Any request involving: `.tf` files, HCL, Terraform modules, state management, provider configuration, infrastructure-as-code

If the user has `.tf` files or wants to provision infrastructure with Terraform → this skill applies.

---

## Workflow

### `/terraform:review` — Terraform Code Review

1. **Analyze current state**
   - Read all `.tf` files in the target directory
   - Identify module structure (flat vs nested)
   - Count resources, data sources, variables, outputs
   - Check naming conventions

2. **Apply review checklist**

   ```
   MODULE STRUCTURE
   ├── Variables have descriptions and type constraints
   ├── Outputs expose only what consumers need
   ├── Resources use consistent naming: {provider}_{type}_{purpose}
   ├── Locals used for computed values and DRY expressions
   └── No hardcoded values — everything parameterized or in locals

   STATE & BACKEND
   ├── Remote backend configured (S3, GCS, Azure Blob, Terraform Cloud)
   ├── State locking enabled (DynamoDB for S3, native for others)
   ├── State encryption at rest enabled
   ├── No secrets stored in state (or state access is restricted)
   └── Workspaces or directory isolation for environments

   PROVIDERS
   ├── Version constraints use pessimistic operator: ~> 5.0
   ├── Required providers block in terraform {} block
   ├── Provider aliases for multi-region or multi-account
   └── No provider configuration in child modules

   SECURITY
   ├── No hardcoded secrets, keys, or passwords
   ├── IAM follows least-privilege principle
   ├── Encryption enabled for storage, databases, secrets
   ├── Security groups are not overly permissive (no 0.0.0.0/0 ingress on sensitive ports)
   └── Sensitive variables marked with sensitive = true
   ```

3. **Generate report**
   ```bash
   python3 scripts/tf_module_analyzer.py ./terraform
   ```

4. **Run security scan**
   ```bash
   python3 scripts/tf_security_scanner.py ./terraform
   ```

### `/terraform:module` — Module Design

1. **Identify module scope**
   - Single responsibility: one module = one logical grouping
   - Determine inputs (variables), outputs, and resource boundaries
   - Decide: flat module (single directory) vs nes