pr-change-analyzer

PR quality analysis calculates a risk score for each commit by evaluating size, complexity, and adherence to Conventional Commits standards. It assesses commit granularity, file distribution, and structural compliance to identify potential issues before merging.

Checking Conventional Commits compliance involves validating commit history and structure using git commands. The analysis evaluates commit messages against established coding standards to ensure consistency and reduce the burden on human reviewers before merging.

Yes, you can assess PR risk score based on git diff-tree output. The analysis uses git diff-tree to gather detailed commit statistics and calculates a risk score for each commit and the overall PR based on size, complexity, and standard adherence.

The best way to review commit granularity in a feature branch is to automate commit structure analysis. By evaluating the distribution of changes across files and validating commit size, you can ensure appropriate granularity before merging.

No, you do not need to run git log manually for PR analysis if you use an automated skill. The automation requires the execution of git log and git diff-tree commands internally to gather detailed commit statistics and validate adherence to coding standards.