Version updated for https://github.com/immanuwell/dockerfile-roast to version 1.2.0. This action is used across all versions by ? repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Droast is a Dockerfile linter designed to identify bad practices and provide actionable feedback with a humorous tone. It automates the detection of potential issues in Dockerfiles, streamlining code reviews and ensuring adherence to best practices, particularly in CI/CD pipelines. Key features include severity-based filtering, customizable rule exclusions, multiple output formats, and integration with GitHub Actions for inline annotations on pull request diffs.

Version updated for https://github.com/immanuwell/dockerfile-roast to version 1.1.0. This action is used across all versions by ? repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary This GitHub Action, dockerfile-roast, is a linter designed to analyze Dockerfiles for best practices and potential issues. It automates the detection of common pitfalls, such as insecure configurations, inefficient builds, and hardcoded secrets, providing actionable feedback through inline annotations in pull request diffs. Its key capabilities include customizable rule enforcement, support for CI-friendly outputs, and multiple severity levels to streamline Dockerfile reviews and improve container security and efficiency.

Version updated for https://github.com/immanuwell/dockerfile-roast to version 1.0.1. This action is used across all versions by ? repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary The droast GitHub Action is a Dockerfile linter designed to identify and flag bad practices in Dockerfiles, providing feedback in a direct and opinionated manner. It automates the process of reviewing Dockerfiles for issues like insecure configurations, inefficiencies, and anti-patterns, and integrates seamlessly into CI pipelines by annotating pull request diffs with findings. Key capabilities include severity filtering, rule customization, multiple output formats (e.g., GitHub annotations, JSON), and the option to suppress non-critical errors.