mcpField
T
terraform-patterns

terraform-patterns

github.com/borgheiCloud & DevOps1.0k63 installsUpdated 6d ago
Repository

About terraform-patterns

terraform-patterns is a skill for reviewing Terraform modules and configurations. It combines module-quality analysis with security scanning, with configurable severity thresholds and JSON output for CI.

Key features

  1. 01Module complexity scoring
  2. 02Dependency and variable analysis
  3. 03Security misconfiguration scanning
  4. 04JSON reports and severity gates

Use cases

  1. 01Assess module structure before refactoring
  2. 02Find exposed ports or public storage
  3. 03Check encryption, IAM, and logging settings
  4. 04Gate pull requests on scan findings

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/borghei/claude-skills --skill terraform-patterns

After installing, type/terraform-patternsin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

examples/
main.tf
references/
terraform-patterns.md
scripts/
tf_module_analyzer.py
tf_security_scanner.py

Details

From the project README

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.

Clarify First

Before analyzing or scanning, confirm these inputs. If any is unknown or vague, ASK — do not assume:

  • Target path — the module or environment directory to analyze (--path; the subject)
  • Task — module complexity/quality analysis vs security misconfiguration scan (selects tf_module_analyzer vs tf_security_scanner)
  • Minimum severity / gate — the severity bar for findings and whether it blocks a PR (--min-severity; changes the report and CI pass/fail)

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

Quick Start

# Analyze Terraform module structure and complexity
python scripts/tf_module_analyzer.py --path ./modules/vpc

# Scan for security misconfigurations
python scripts/tf_security_scanner.py --path ./environments/production

# JSON output for CI pipelines
python scripts/tf_security_scanner.py --path . --format json

# Recursive analysis of all modules
python scripts/tf_module_analyzer.py --path . --recursive

Tools Overview

tf_module_analyzer.py

Analyzes Terraform modules for complexity, structure, dependencies, and documentation quality.

FeatureDescription
Complexity scoringScores modules by resource count, variable count, nesting
Dependency mappingMaps module dependencies and data source usage
Variable analysisChecks for missing types, defaults, descriptions
Output completenessValidates output documentation and coverage
Naming conventionsChecks resource and variable naming patterns
tf_security_scanner.py

Scans Terraform configurations for security misconfigurations and compliance violations.

FeatureDescription
Open portsDetects 0.0.0.0/0 CIDR in security groups
Public accessFlags public S3 buckets, databases, instances
Encryption gapsChecks for missing encryption at rest and in transit
IAM overreachIdentifies wildcard actions and overly broad policies
Logging gapsVerifies CloudTrail, flow logs, access logging

Workflows

Security Review Workflow
  1. Scan - Run tf_security_scanner.py across all environments
  2. Triage - Prioritize critical findings (public data, open access)
  3. Remediate - Apply recommended fixes per finding
  4. Verify - Re-scan to confirm fixes resolved issues
  5. Gate - Add scanner to PR checks for continuous enforcement
Module Quality Workflow
  1. Analyze - Run tf_module_analyzer.py on each module
  2. Score - Review complexity scores, identify modules over threshold
  3. Refactor - Break down modules scoring above 70/100 complexity
  4. Document - Fill in missing variable and output descriptions
  5. Standardize - Apply consistent naming and file organization
CI Integration
# Security gate
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

# Module quality check
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
ResourceCheckRule
Security GroupsNo 0.0.0.0/0 ingressRestrict to known CIDRs
S3 BucketsNo public ACLsUse bucket policies instead
RDSNo public accessSet publicly_accessible = false
EBS/S3/RDSEncryption enabledAdd encryption configuration
IAMNo wildcard actionsUse least-privilege policies
CloudTrailEnabled in all regionsis_multi_region_trail = true
VPCFlow logs enabledCreate flow log resources
Complexity Scoring
ScoreRatingAction
0-30LowNo action needed
31-60MediumConsider splitting
61-80HighShould refactor
81-100CriticalMust refactor

Comments

Markdown supported