| name | terraform-patterns |
| description | This skill should be used when the user asks to "analyze Terraform modules", "scan IaC for security issues", "review Terraform configurations", "check infrastructure code for misconfigurations", or "audit cloud resources".
|
| license | MIT + Commons Clause |
| metadata | {"version":"1.0.0","author":"borghei","category":"engineering","domain":"infrastructure-as-code","updated":"2026-04-02T00:00:00.000Z","tags":["terraform","iac","security","cloud","infrastructure"]} |
Terraform Patterns
Category: Engineering
Domain: Infrastructure as Code
Overview
The Terraform Patterns skill provides automated analysis of Terraform configurations for module complexity, security misconfigurations, and infrastructure best practices. It catches open ports, public buckets, missing encryption, and overly permissive IAM policies before they reach production.
Quick Start
python scripts/tf_module_analyzer.py --path ./modules/vpc
python scripts/tf_security_scanner.py --path ./environments/production
python scripts/tf_security_scanner.py --path . --format json
python scripts/tf_module_analyzer.py --path . --recursive
Tools Overview
tf_module_analyzer.py
Analyzes Terraform modules for complexity, structure, dependencies, and documentation quality.
| Feature | Description |
|---|
| Complexity scoring | Scores modules by resource count, variable count, nesting |
| Dependency mapping | Maps module dependencies and data source usage |
| Variable analysis | Checks for missing types, defaults, descriptions |
| Output completeness | Validates output documentation and coverage |
| Naming conventions | Checks resource and variable naming patterns |
tf_security_scanner.py
Scans Terraform configurations for security misconfigurations and compliance violations.
| Feature | Description |
|---|
| Open ports | Detects 0.0.0.0/0 CIDR in security groups |
| Public access | Flags public S3 buckets, databases, instances |
| Encryption gaps | Checks for missing encryption at rest and in transit |
| IAM overreach | Identifies wildcard actions and overly broad policies |
| Logging gaps | Verifies CloudTrail, flow logs, access logging |
Workflows
Security Review Workflow
- Scan - Run tf_security_scanner.py across all environments
- Triage - Prioritize critical findings (public data, open access)
- Remediate - Apply recommended fixes per finding
- Verify - Re-scan to confirm fixes resolved issues
- Gate - Add scanner to PR checks for continuous enforcement
Module Quality Workflow
- Analyze - Run tf_module_analyzer.py on each module
- Score - Review complexity scores, identify modules over threshold
- Refactor - Break down modules scoring above 70/100 complexity
- Document - Fill in missing variable and output descriptions
- Standardize - Apply consistent naming and file organization
CI Integration
python scripts/tf_security_scanner.py --path . --format json --min-severity high
if [ $? -ne 0 ]; then
echo "Security scan failed - blocking merge"
exit 1
fi
python scripts/tf_module_analyzer.py --path . --recursive --format json
Reference Documentation
Common Patterns Quick Reference
Module Structure
modules/vpc/
main.tf # Primary resources
variables.tf # Input variables with descriptions
outputs.tf # Module outputs
versions.tf # Required providers and versions
locals.tf # Local values and computed expressions
Security Checklist
| Resource | Check | Rule |
|---|
| Security Groups | No 0.0.0.0/0 ingress | Restrict to known CIDRs |
| S3 Buckets | No public ACLs | Use bucket policies instead |
| RDS | No public access | Set publicly_accessible = false |
| EBS/S3/RDS | Encryption enabled | Add encryption configuration |
| IAM | No wildcard actions | Use least-privilege policies |
| CloudTrail | Enabled in all regions | is_multi_region_trail = true |
| VPC | Flow logs enabled | Create flow log resources |
Complexity Scoring
| Score | Rating | Action |
|---|
| 0-30 | Low | No action needed |
| 31-60 | Medium | Consider splitting |
| 61-80 | High | Should refactor |
| 81-100 | Critical | Must refactor |