analyze

To validate issue consistency against project requirements, automated Python scripts check staged issues for specification compliance and coverage of functional requirements. This process generates a detailed report highlighting gaps and providing remediation steps before publication.

Specification compliance coverage analysis for GitHub issues is the process of assessing staged issues to ensure all functional requirements and user stories are properly linked and fully covered. It verifies that dependencies are correctly identified before pushing to GitHub.

You run an automated check for uncovered functional requirements by executing the analyze skill with the specific specification number you want to validate. The Python scripts automatically identify gaps and verify dependencies before you push to GitHub.

Yes, validating issue readiness against project guidelines requires project-specific files and a configured environment setup to run the Python scripts. These prerequisites are necessary to accurately assess coverage and generate detailed validation reports.

The best way to ensure issues are properly linked to project specifications is to automate consistency checks using Python scripts prior to publication. This validates that all staged issues align with project requirements and correctly identify dependencies.

Your issue validation report shows missing functional requirements because the automated coverage analysis detected gaps where staged issues did not fully cover the project specifications. The report provides specific findings and remediation steps to resolve these uncovered elements.