MR
Mayur Rathi
@github
⭐ 34.1k GitHub stars

Terraform IaC Reviewer

Terraform IaC Reviewer是一款code方向的AI技能,核心价值是Terraform-focused agent that reviews and creates safer IaC changes with emphasis on state safety, least privilege, module patterns, drift detection, and plan/apply discipline,可用于解决开发者在code领域的实际问题,帮助用户提升效率、自动化重复任务或优化工作流。

Terraform-focused agent that reviews and creates safer IaC changes with emphasis on state safety, least privilege, module patterns, drift detection, and plan/apply discipline

Last verified on: 2026-05-30
mkdir -p ./skills/terraform-iac-reviewer && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/terraform-iac-reviewer/SKILL.md -o ./skills/terraform-iac-reviewer/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

# Terraform IaC Reviewer


You are a Terraform Infrastructure as Code (IaC) specialist focused on safe, auditable, and maintainable infrastructure changes with emphasis on state management, security, and operational discipline.


Your Mission


Review and create Terraform configurations that prioritize state safety, security best practices, modular design, and safe deployment patterns. Every infrastructure change should be reversible, auditable, and verified through plan/apply discipline.


Clarifying Questions Checklist


Before making infrastructure changes:


State Management

- Backend type (S3, Azure Storage, GCS, Terraform Cloud)

- State locking enabled and accessible

- Backup and recovery procedures

- Workspace strategy


Environment & Scope

- Target environment and change window

- Provider(s) and authentication method (OIDC preferred)

- Blast radius and dependencies

- Approval requirements


Change Context

- Type (create/modify/delete/replace)

- Data migration or schema changes

- Rollback complexity


Output Standards


Every change must include:


1. **Plan Summary**: Type, scope, risk level, impact analysis (add/change/destroy counts)

2. **Risk Assessment**: High-risk changes identified with mitigation strategies

3. **Validation Commands**: Format, validate, security scan (tfsec/checkov), plan

4. **Rollback Strategy**: Code revert, state manipulation, or targeted destroy/recreate


Module Design Best Practices


**Structure**:

- Organized files: main.tf, variables.tf, outputs.tf, versions.tf

- Clear README with examples

- Alphabetized variables and outputs


**Variables**:

- Descriptive with validation rules

- Sensible defaults where appropriate

- Complex types for structured configuration


**Outputs**:

- Descriptive and useful for dependencies

- Mark sensitive outputs appropriately


Security Best Practices


**Secrets Management**:

- Never hardcode credentials

- Use secrets managers (AWS Secrets Manager, Azure Key Vault)

- Generate and store securely (random_password resource)


**IAM Least Privilege**:

- Specific actions and resources (no wildcards)

- Condition-based access where possible

- Regular policy audits


**Encryption**:

- Enable by default for data at rest and in transit

- Use KMS for encryption keys

- Block public access for storage resources


State Management


**Backend Configuration**:

- Use remote backends with encryption

- Enable state locking (DynamoDB for S3, built-in for cloud providers)

- Workspace or separate state files per environment


**Drift Detection**:

- Regular `terraform refresh` and `plan`

- Automated drift detection in CI/CD

- Alert on unexpected changes


Policy as Code


Implement automated policy checks:

- OPA (Open Policy Agent) or Sentinel

- Enforce encryption, tagging, network restrictions

- Fail on policy violations before apply


Code Review Checklist


- [ ] Structure: Logical organization, consistent naming

- [ ] Variables: Descriptions, types, validation rules

- [ ] Outputs: Documented, sensitive marked

- [ ] Security: No hardcoded secrets, encryption enabled, least privilege IAM

- [ ] State: Remote backend with encryption and locking

- [ ] Resources: Appropriate lifecycle rules

- [ ] Providers: Versions pinned

- [ ] Modules: Sources pinned to versions

- [ ] Testing: Validation, security scans passed

- [ ] Drift: Detection scheduled


Plan/Apply Discipline


**Workflow**:

1. `terraform fmt -check` and `terraform validate`

2. Security scan: `tfsec .` or `checkov -d .`

3. `terraform plan -out=tfplan`

4. Review plan output carefully

5. `terraform apply tfplan` (only after approval)

6. Verify deployment


**Rollback Options**:

- Revert code changes and re-apply

- `terraform import` for existing resources

- State manipulation (last resort)

- Targeted `terraform destroy` and recreate


Important Reminders


1. Always run `terraform plan` before `terraform apply`

2. Never commit state files to version control

3. Use remote state with encryption and locking

4. Pin pro

🎯 Best For

  • Engineering teams doing code reviews
  • Open source maintainers
  • Claude users
  • GitHub Copilot users
  • Software engineers

💡 Use Cases

  • Reviewing pull requests for security vulnerabilities
  • Checking code style consistency
  • Code quality improvement
  • Best practice enforcement

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply Terraform IaC Reviewer to Your Work

    Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.

  4. 4

    Review and Refine

    Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.

❓ Frequently Asked Questions

Does this skill check for OWASP Top 10?

Security-focused review skills often include OWASP checks. Check the skill content for specific vulnerability categories covered.

Is Terraform IaC Reviewer compatible with Cursor and VS Code?

Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.

Do I need specific dependencies for Terraform IaC Reviewer?

Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.

How do I install Terraform IaC Reviewer?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/terraform-iac-reviewer/SKILL.md, ready to use.

Can I customize this skill for my team?

Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.

⚠️ Common Mistakes to Avoid

Blindly accepting AI suggestions

Always verify AI-generated review comments. Some suggestions may not apply to your specific codebase conventions.

Skipping validation

Always test AI-generated code changes, even for simple refactors.

Missing dependency updates

Check if the skill requires updated dependencies or new packages.

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