Does this skill support both Python and JavaScript?

Yes, it includes built-in configurations for Python (using Poetry/Pytest) and JavaScript/TypeScript (using NPM/Jest or similar runners).

Can I run specific tests instead of the whole suite?

Yes, you can target specific directories, files, or even individual test names by providing arguments to the run-tests command.

How does the failure analysis work?

When tests fail, the skill launches three parallel analysis agents to investigate backend errors, frontend component issues, and coverage gaps simultaneously.

What kind of reports does it generate?

It generates a detailed Test Results Report in Markdown format, summarizing pass/fail counts, coverage percentages, and specific fix suggestions for any errors.

Test Execution & Analysis

Name: Test Execution & Analysis
Author: yonatangross

byyonatangross

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Security & Testing

Executes comprehensive test suites across backend and frontend environments with automated failure analysis and coverage reporting.

About

The Run Tests skill provides a streamlined workflow for executing test suites in both Python (Pytest) and JavaScript/TypeScript (NPM) environments. It automates the complexity of running unit and integration tests, offering parallel failure analysis agents that pinpoint root causes in backend or frontend code while simultaneously identifying coverage gaps. This skill is essential for maintaining high code quality, troubleshooting CI/CD regressions, and ensuring production-ready software through detailed, structured reporting with actionable fix suggestions.

Key Features

29 GitHub stars
Automated generation of markdown-formatted test status reports
Integrated coverage reporting with terminal-based missing line detection
Flexible execution scopes ranging from specific test names to full suites
Multi-environment support for Poetry/Pytest and NPM/Jest/Vitest
Parallel failure analysis for backend and frontend components

Use Cases

Troubleshooting complex test failures using AI-driven root cause analysis
Auditing test coverage to identify and fill gaps in critical application logic
Validating code changes before merging to ensure no regressions were introduced

About

Key Features

29 GitHub stars
Automated generation of markdown-formatted test status reports
Integrated coverage reporting with terminal-based missing line detection
Flexible execution scopes ranging from specific test names to full suites
Multi-environment support for Poetry/Pytest and NPM/Jest/Vitest
Parallel failure analysis for backend and frontend components

Use Cases

Troubleshooting complex test failures using AI-driven root cause analysis
Auditing test coverage to identify and fill gaps in critical application logic
Validating code changes before merging to ensure no regressions were introduced