80-20-review

Prioritize code reviews by scoring blast radius across critical change areas.

640|145|Updated Feb 20, 2026
One-click install
npx skills add https://github.com/codewithmukesh/dotnet-claude-kit --skill 80-20-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: 80-20-review
Source: https://github.com/codewithmukesh/dotnet-claude-kit/tree/main/skills/80-20-review
Command: npx skills add https://github.com/codewithmukesh/dotnet-claude-kit --skill 80-20-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Focused, high-impact code reviews by concentrating on the 20% of changes that cause 80% of issues, helping teams catch critical risks early.

Core Features & Use Cases

  • Prioritized review targets using blast-radius scoring to allocate effort to high-impact areas.
  • Structured checkpoint-style reviews (post-implementation, pre-PR, post-integration, post-deploy) to ensure consistent quality gates.
  • MCP-assisted diagnostics to surface data-access, security, concurrency, and integration risks during reviews.

Quick Start

Run a blast-radius guided review on the latest feature branch to determine the appropriate review depth.

Frequently Asked Questions about 80-20-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is blast-radius scoring in code review and how does it prioritize changes?

Blast-radius scoring in code review evaluates the potential impact of code changes to prioritize the 20% of modifications that drive 80% of issues. It allocates review effort to high-impact areas across data access, security, concurrency, and integration boundaries to catch critical risks early.

How do I run a focused code review on a feature branch before creating a PR?

To run a focused code review on a feature branch, apply blast-radius guided scoring to determine the appropriate review depth. Use structured checkpoint reviews at post-implementation and pre-PR stages to validate critical paths and mitigate risk before integration.

Can MCP-assisted diagnostics detect security and concurrency risks during code reviews?

Yes, MCP-assisted diagnostics surface data-access, security, concurrency, and integration risks during code reviews. This diagnostic approach ensures critical paths are validated and risk is mitigated by focusing effort on high-impact architectural changes.

What are the best practices for structuring checkpoint reviews across the deployment lifecycle?

Best practices for checkpoint reviews involve enforcing consistent quality gates at post-implementation, pre-PR, post-integration, and post-deploy stages. This structured approach validates critical paths and mitigates risk by ensuring changes are reviewed at each lifecycle phase.

Does this code review approach work for architectural changes across integration boundaries?

Yes, this code review approach applies directly to architectural changes across data access, security, concurrency, and integration boundaries. It uses blast-radius scoring to determine review depth and MCP-assisted diagnostics to validate critical paths and mitigate risk.

When should I not use a blast-radius guided approach for code review?

A blast-radius guided code review approach is not suitable for trivial changes or isolated refactoring with zero impact on data access, security, concurrency, or integration boundaries. It is designed for high-impact modifications requiring structured checkpoint validation and risk mitigation.