amoa-verification-patterns

Evidence-based verification reports for CI/CD validation are generated by collecting structured evidence like exit codes, test results, and file contents, then formatting them into orchestrator-ready JSON records with a pass/fail status.

Collecting structured test evidence for task completion verification involves running automated checks to capture exit codes and test reports, enforcing minimum evidence requirements, and compiling the results into a standardized JSON verification record.

Yes, automated verification workflows enforce minimum evidence requirements by validating the evidence format during test-suite runs and integration workflows, providing clear error reporting when acceptance criteria are not met.

Verification report generation works with GitHub issue integration and CI/CD pipelines by using CLI tools to run checks, analyze A/B tests, and compile verification summaries into JSON records suitable for orchestrator handoff.

Verification report validation fails during implementation handoff when the collected evidence items do not meet the minimum evidence requirements or the structured data fails the required format validation checks.

Yes, running test-suite workflows before producing JSON verification records is required to gather at least two evidence items, such as exit codes and test results, ensuring the final report contains measurable proof of completion.