validator

Automated compliance checks enforce required files and proper project layout by validating directory structures against established coding and documentation standards. The checker identifies missing files and reports findings with structured JSON output for remediation.

Schema and pattern validation detects forbidden code patterns by applying provided schemas to project files. It identifies non-compliant configurations and code quality issues, generating structured JSON results with errors and warnings to guide remediation.

Yes, you can check for secret exposure and license compliance before merging changes. The validator scans project repositories to prevent compliance regressions, verifying documentation completeness and detecting forbidden patterns within your codebase.

Yes, compliance validation requires pyyaml and jsonschema dependencies to perform schema validation and parse configuration files. These libraries enable the tool to apply provided schemas and detect forbidden patterns across project repositories.

The best way to validate project configurations against defined coding standards is running an automated compliance checker across your project directory. It enforces required files, detects forbidden patterns, and outputs structured JSON reports with errors and warnings.

Compliance validation reports errors and warnings instead of failing immediately to provide comprehensive reporting. This structured JSON output identifies all compliance issues across code quality, documentation completeness, and license checks, offering guidance for complete remediation.