quality-gate-validator

Automating quality gate validation in a CI/CD pipeline involves executing predefined checks against project artifacts and tool outputs to ensure code quality standards are met before merging. This Skill runs executable checks and generates a quantitative validation report.

A quality gate validation report is a JSON file detailing the status of each predefined gate. It provides a quantitative report by verifying thresholds for code complexity, type coverage, and component reuse, moving beyond simple checklists.

Yes, you need Python 3 to run automated code quality validation checks. The validator requires Python 3 with access to your project workspace, output directories, and optional tool execution capabilities for linters and type checkers.

To validate code complexity and type coverage before merging, you run a validation script against your project workspace. It optionally runs standard development tools like linters and type checkers, applying quantitative thresholds to ensure standards are met.

Yes, you can use pre-commit hooks for CI/CD quality gate checks. This Skill applies to both CI/CD pipelines and pre-commit hooks to ensure code quality standards are met by executing predefined validation checks against output directories.

Input files for code quality gate validation include various project artifacts like scorecards and requirements summaries. The validator considers these input files along with optional reports from standard development tools to verify quantitative quality thresholds.