What criteria does it use for the final verdict?

It uses a decision matrix that weighs findings by severity; for instance, any blocker (red) or three major issues (orange) result in a Request Changes recommendation.

How does this skill handle large pull requests?

It automatically adjusts review depth based on file count, prioritizing critical areas like security and correctness while warning the user about changeset size for very large PRs.

Does it integrate with GitHub?

Yes, it uses the GitHub CLI (gh) to checkout branches and gather PR metadata, ensuring it has full context of the author's intent and linked issues.

Can it suggest actual code fixes?

Yes, the skill provides specific recommendations and code examples for findings, and it supports drill-down requests for follow-up fixes or explanations.

Which review dimensions are covered?

It evaluates eight dimensions: Correctness, Scope Fit, Design, Testing, Readability, Security, Performance, and Documentation.

Structured Code Review

Name: Structured Code Review
Author: btimothy-har

bybtimothy-har

Collaboration Tools

Conducts multi-dimensional pull request evaluations with calibrated severity levels and actionable feedback.

About

This skill transforms ad-hoc code reviews into a systematic evaluation process, ensuring consistent quality across performance, security, design, and readability. By leveraging specialized analysis agents, it provides a structured verdict based on calibrated severity levels—ranging from minor nitpicks to critical blockers. It streamlines the entire review flow from branch checkout to final verdict, making it an essential tool for maintaining high engineering standards while adapting its depth to the size and urgency of the changes.

Key Features

Structured verdict matrix to guide Approval or Request Changes decisions
0 GitHub stars
Multi-dimensional analysis covering security, performance, design, and testing
Calibrated severity levels with clear Blocker to Nitpick indicators
Automated PR context gathering using GitHub CLI integration
Adaptive review depth scaling based on the size of the changeset

Use Cases

Standardizing the quality of pull requests across a growing engineering team
Conducting deep security and performance audits on critical code paths
Automating the initial triage of large changesets to identify high-risk areas

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add btimothy-har/bworkspace code-review

For use in Claude.ai and ChatGPT

Download Skill

GitHub