Compute CRAP scores for Clojure functions using cyclomatic complexity and test coverage.
npx skills add https://github.com/unclebob/crap4clj --skill crap4clj
Please help me install this Agent Skill. Skill: crap4clj Source: https://github.com/unclebob/crap4clj/tree/main Command: npx skills add https://github.com/unclebob/crap4clj --skill crap4clj
CRAP metrics help you identify functions that are both complex and under-tested by combining cyclomatic complexity with test coverage, enabling targeted risk remediation in Clojure projects.
Run clj -M:crap to analyze all source files and generate a CRAP report.
High-intent search queries and answers about installing and using this skill.
To identify high-risk Clojure functions, compute CRAP scores by combining cyclomatic complexity with test coverage data. This highlights defn and defn- forms that carry the most risk, producing a prioritized report for targeted remediation.
Yes, you need Cloverage output to calculate CRAP scores. The tool parses Cloverage-derived coverage data to blend with cyclomatic complexity metrics, applying the CRAP formula to generate a sorted risk report.
The best way to rank code quality risk is applying the CRAP formula across all defn and defn- forms. It combines cyclomatic complexity and test coverage into a descending report that highlights highest-risk functions.
To generate a CRAP report for a Clojure project, run clj -M:crap. This analyzes all source files, computes coverage and complexity metrics, and presents a descending report for remediation.
Yes, you can measure cyclomatic complexity for private functions. The analysis specifically targets both defn and defn- forms across the codebase to ensure private functions are included in the risk report.
Your CRAP score report shows functions as high priority because they have high cyclomatic complexity combined with low test coverage. The CRAP formula mathematically penalizes untested complexity, sorting these functions to the top.
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