The CI/CD server Jenkins provides powerful build-quality visualizations through plugins such as Warnings, Coverage, and Git Forensics. These plugins aggregate and visualize data from static analysis tools, coverage reports, software metrics, and Git history, enabling teams to track quality trends across builds. We have now brought this functionality to other widely used CI/CD platforms, including GitHub Actions and GitLab CI.

This talk presents portable, UI-independent implementations of these capabilities for GitHub Actions and GitLab CI: the quality monitor GitHub Action and the GitLab autograding-action. Both tools share a common architecture and codebase with the Jenkins plugins. They automatically analyze pull requests and branch pipelines, generate structured comments and concise Markdown summaries, and enforce configurable quality gates. The solutions are language-agnostic and integrate seamlessly with more than 150 static analysis, coverage, test, and metrics report formats—including Checkstyle, SpotBugs, SARIF, JUnit, JaCoCo, GoCov, and GCC. Additionally, both tools provide an autograding mode for educational use, enabling instructors to assess student submissions through a flexible, configurable point-based scoring system.