testing-standards

Name: testing-standards
Availability: InStock
Author: Bitso

Validates and improves code coverage across Java, JavaScript/TypeScript, Python, and Go projects.

40|33|Updated Aug 20, 2015

Search Tags:#typescript #testing #quality assurance #code coverage #python #go #java

Ready to run

npx skills add https://github.com/bitsoex/bitso-java --skill testing-standards-bitsoex

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: testing-standards
Source: https://github.com/bitsoex/bitso-java/tree/main/.claude/skills/testing-standards
Command: npx skills add https://github.com/bitsoex/bitso-java --skill testing-standards-bitsoex

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the critical issue of insufficient test coverage, which can lead to bugs, regressions, and unreliable software. It helps ensure that code changes are thoroughly validated.

Core Features & Use Cases

Coverage Validation: Analyzes test coverage reports for Java, JavaScript/TypeScript, Python, and Go.
Gap Identification: Pinpoints untested code paths and functions.
Guidance: Provides resources and patterns for writing effective tests.
Use Case: After a developer merges a new feature, this Skill can be invoked to automatically check if the new code is adequately covered by tests and flag any deficiencies.

Quick Start

Run the coverage report for your project's technology.

Frequently Asked Questions about testing-standards

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I identify untested code paths in my Python or Java project?▼

Test coverage validation analyzes existing coverage reports to pinpoint untested code paths and functions across Python, Java, JavaScript/TypeScript, and Go. It flags deficiencies by examining reports generated by tools like JaCoCo, Jest, NYC, coverage.py, and go test.

What is the best way to improve test coverage across multiple programming languages?▼

Improving test coverage involves analyzing reports from technology-specific tools and applying guided testing patterns. This Skill validates coverage for languages including TypeScript, Python, Go, and Java, providing targeted guidance to write effective tests for identified gaps.

Does this test coverage validation work with Go and JavaScript coverage tools?▼

Yes, test coverage validation works with Go and JavaScript by analyzing reports from go test, Jest, and NYC. It supports multiple languages including Python and Java, identifying untested functions and providing resources to write better tests using technology-specific patterns.

How to check if newly merged code is adequately covered by tests?▼

To check if newly merged code is adequately covered, run a coverage report for your project's technology. The validation process analyzes reports from tools like JaCoCo or coverage.py to automatically flag untested code paths and functional deficiencies.

Why do I need test coverage tools like JaCoCo and NYC for my codebase?▼

Test coverage tools like JaCoCo and NYC are needed to validate code changes and prevent regressions. They generate the reports required to identify untested code paths, ensuring software reliability by thoroughly validating new features before deficiencies reach production.

Can I use this to find gaps in TypeScript testing patterns?▼

Yes, you can find gaps in TypeScript testing by analyzing NYC or Jest coverage reports. The Skill identifies untested code paths and provides guidance on writing effective tests using technology-specific patterns to boost overall code quality.