Where does Raven Test save its reports?

Generated reports are stored within the project directory at .raven/reports/ for easy access, documentation, and history tracking.

Can Raven Test automatically fix the issues it finds?

Raven Test focuses on identification and reporting. It generates detailed issue reports that can be handed off to a coding agent or a human developer via the integrated BMAD workflow.

What specific edge cases does this skill verify?

It specifically checks for boundary values, null/undefined handling, empty inputs, large data handling, concurrency issues/race conditions, and error recovery paths.

Which programming languages and frameworks are supported?

It features built-in support for major ecosystems including Node.js (Jest, Vitest, Mocha), Python (Pytest), Go, and Rust (Cargo) through automatic detection.

How does Raven Test differ from standard Claude Code testing?

Raven Test provides a structured deep-dive process including specialized edge case analysis, code quality audits, and formal report generation that goes significantly beyond basic CLI test execution.

Raven Test

Name: Raven Test
Author: Slowth-KIM

bySlowth-KIM

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セキュリティとテスト

Automates deep QA processes including edge case verification, code quality audits, and comprehensive test reporting.

概要

Raven Test is a specialized QA skill for Claude Code designed to provide rigorous verification beyond basic unit testing. It automates the detection and execution of various test frameworks across Node.js, Python, Go, and Rust ecosystems. By analyzing edge cases such as boundary values and race conditions, performing code quality audits for complexity and security, and generating detailed markdown reports, Raven Test ensures that AI-generated code meets production-grade reliability standards and facilitates seamless developer handoffs.

主な機能

Automated Code Quality Audits for Complexity and Security
Automatic Multi-language Test Framework Detection & Execution
Professional Markdown Verification Report Generation
Multi-dimensional Coverage Analysis (Lines, Branches, Functions)
Deep Edge Case Verification (null handling, concurrency, boundary values)
1 GitHub stars

ユースケース

Identifying testing gaps and automatically generating coverage improvement plans
Conducting exhaustive QA cycles before merging critical features or PRs
Auditing legacy codebases for complexity and hidden performance bottlenecks

概要

主な機能

Automated Code Quality Audits for Complexity and Security
Automatic Multi-language Test Framework Detection & Execution
Professional Markdown Verification Report Generation
Multi-dimensional Coverage Analysis (Lines, Branches, Functions)
Deep Edge Case Verification (null handling, concurrency, boundary values)
1 GitHub stars

ユースケース

Identifying testing gaps and automatically generating coverage improvement plans
Conducting exhaustive QA cycles before merging critical features or PRs
Auditing legacy codebases for complexity and hidden performance bottlenecks