How do I trigger the report generation process?

You can trigger the skill using natural language phrases such as 'generate test report', 'create test documentation', or 'show test metrics'.

Where are the generated test reports stored?

Reports are automatically saved to the {baseDir}/test-reports/ directory within your project for easy access and version control.

Can this skill help with debugging test failures?

Yes, it captures detailed failure analysis, including error messages and stack traces, and attempts to detect patterns in failures to provide insights for improvement.

What testing frameworks does this skill support?

The skill is framework-agnostic and can be configured to work with any industry-standard testing tool (like Jest, Pytest, or Mocha) that is accessible via the command line.

Does it track performance over time?

The skill includes performance benchmarks and trend analysis features to help you monitor resource utilization and execution time across different test runs.

Test Report Generator

Name: Test Report Generator
Author: BbgnsurfTech

byBbgnsurfTech

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Security & Testing

Generates comprehensive test execution reports with performance metrics, code coverage, and detailed failure analysis.

About

The Test Report Generator skill automates the synthesis of raw test data into actionable insights, helping developers maintain high software quality standards. It manages the entire testing lifecycle within Claude Code—from configuring the environment and executing test suites via bash commands to producing structured reports that include success rates, resource utilization, and trend analysis. This skill is ideal for teams needing standardized documentation of their QA processes, identifying recurring error patterns, and ensuring that code meets specific quality gate requirements before deployment.

Key Features

Pattern detection for recurring test failures and errors
Automated test suite execution and progress monitoring
Code coverage analysis and performance benchmarking
Detailed success/failure metrics and percentage calculations
Standardized report generation in dedicated project directories
3 GitHub stars

Use Cases

Creating documentation for CI/CD audit trails and quality gate compliance
Analyzing code coverage and performance regressions during local development
Generating a final quality assurance report after completing a feature sprint

About

Key Features

Pattern detection for recurring test failures and errors
Automated test suite execution and progress monitoring
Code coverage analysis and performance benchmarking
Detailed success/failure metrics and percentage calculations
Standardized report generation in dedicated project directories
3 GitHub stars

Use Cases

Creating documentation for CI/CD audit trails and quality gate compliance
Analyzing code coverage and performance regressions during local development
Generating a final quality assurance report after completing a feature sprint