Skills

Crap Analysis

Analyze code coverage and CRAP (Change Risk Anti-Patterns) scores to identify high-risk...

Install

npx skills add Aaronontheweb/dotnet-skills --skill crap-analysis -g -a claude-code -y
Category
Engineering
Updated
7d ago
License
MIT
Context cost
Mediumabout 2,773 tokens
Runs scripts
No, instructions only

What it does

Analyze code coverage and CRAP (Change Risk Anti-Patterns) scores to identify high-risk code. Use OpenCover format with ReportGenerator for Risk Hotspots showing cyclomatic complexity and untested code paths.

CRAP Score Analysis

When to Use This Skill

Use this skill when:

  • Evaluating code quality and test coverage before changes
  • Identifying high-risk code that needs refactoring or testing
  • Setting up coverage collection for a .NET project
  • Prioritizing which code to test based on risk
  • Establishing coverage thresholds for CI/CD pipelines

What is CRAP?

CRAP Score = Complexity x (1 - Coverage)^2

The CRAP (Change Risk Anti-Patterns) score combines cyclomatic complexity with test coverage to identify risky code.

CRAP ScoreRisk LevelAction Required
< 5LowWell-tested, maintainable code
5-30MediumAcceptable but watch complexity
> 30HighNeeds tests or refactoring

Why CRAP Matters

  • High complexity + low coverage = danger: Code that's hard to understand AND untested is risky to modify
  • Complexity alone isn't enough: A complex method with 100% coverage is safer than a simple method with 0%
  • Focuses effort: Prioritize testing on complex code, not simple getters/setters

CRAP Score Examples

MethodComplexityCoverageCalculationCRAP
GetUserId()10%1 x (1 - 0)^21
ParseToken()5452%54 x (1 - 0.52)^212.4
ValidateForm()200%20 x (1 - 0)^220
ProcessOrder()4520%45 x (1 - 0.20)^228.8
ImportData()8010%80 x (1 - 0.10)^264.8

Coverage Collection Setup

coverage.runsettings

Create a coverage.runsettings file in your repository root. The OpenCover format is required for CRAP score calculation because it includes cyclomatic complexity metrics.

Read the whole SKILL.md on GitHub

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