terraform-validator

Terraform validation and security checks are performed by running formatting, initialization, syntax validation, linting with TFLint, and security audits with Checkov across your .tf files to ensure compliance. This orchestrates the entire workflow deterministically to produce a structured report.

The best way to validate Terraform modules is an end-to-end workflow applying formatting, init, validate, lint, and regression tests. This extracts provider and resource metadata to ensure your infrastructure as code is clean, compliant, and production-ready.

Yes, the Terraform validator integrates Checkov for security checks and TFLint for linting. It applies these tools automatically during the validation workflow to identify misconfigurations and provide automated remediation guidance.

Yes, you can extract provider, module, and resource metadata by identifying and validating Terraform configurations across multiple .tf files. The process produces a structured JSON report detailing all findings and extracted infrastructure components.

Yes, python-hcl2 is required as a dependency to parse HCL2 syntax within .tf files. It enables the extraction of provider, module, and resource metadata required for comprehensive validation and security checks.

Terraform configurations fail security audits due to syntax errors, misconfigurations, and security gaps. Running an integrated validation workflow with Checkov and TFLint identifies these issues and provides remediation guidance to ensure compliance.