afx-check

Automate quality assurance by tracing execution paths, auditing annotations, and verifying cross-references against spec requirements. This ensures complex codebases comply with project standards without manual review.

Specification verification validates code and designs against project requirements by checking schema consistency and cross-references. It audits annotations to ensure implemented features match the defined specifications.

Yes, you need Python to run automated compliance checks because the Skill uses Python for scripting and various analysis libraries. It generates reporting outputs to validate trace execution paths.

Yes, you can audit annotations and verify cross-references for specific features. Running the quality gate checks traces the execution path for the target feature to ensure correct implementation.

Run quality gates by executing automated compliance checks that trace execution paths and verify schema consistency against spec requirements. This validates that all features comply with project standards.

Avoid automated specification verification when codebases lack defined spec requirements or schema annotations. The compliance checks depend on existing cross-references to trace execution paths and validate consistency.