What is included in the quick test report?

The report includes a brief summary of tested scenarios (happy path and edge cases), a list of specific issues found with line numbers, and a final verdict.

Does it support frontend UI components?

Yes, for UI components like React or Vue, it performs a detailed logic review focusing on prop handling, state management, and potential crashes.

How does the skill know what to test?

It follows a priority hierarchy: first looking at user-specified files, then recently modified tasks in a task list, and finally the code discussed in the current conversation.

How does Quick Test differ from formal QA?

It is designed for immediate, lightweight feedback during the development loop. It avoids generating reports or persistent tracking files, focusing on speed and functional correctness.

Can it test code that requires a specific runtime environment?

If the code cannot be executed directly, the skill automatically switches to a comprehensive logic review to identify potential errors, off-by-one bugs, and unhandled edge cases.

Quick Test Verifier

Name: Quick Test Verifier
Author: nguyendinhquocx

bynguyendinhquocx

Seguridad y Pruebas

Verifies code implementation immediately through automated execution or logic review to ensure functional correctness without formal overhead.

Acerca de

Quick Test Verifier is a lightweight utility designed for immediate code validation after implementation, bug fixes, or refactoring. By automatically detecting context from current conversations or task files, it determines whether to execute the code with sample inputs or perform a deep logic review for non-executable components like UI modules. It eliminates the need for formal QA reports or tracking files, providing a fast 'Pass/Fail' verdict to help developers maintain momentum without compromising on code quality.

Características Principales

Deep logic review for library code and UI components
0 GitHub stars
Automated execution for scripts, APIs, and CLI functions
Context-aware testing via conversation history, task files, or manual selection
Intelligent identification of happy paths and edge cases
Minimalist reporting with clear 'Pass/Fail' verdicts

Casos de Uso

Validating bug fixes across multiple files identified in a task list
Reviewing logic for complex components that cannot be executed in a headless environment
Verifying a newly implemented function or feature before proceeding to the next task

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nguyendinhquocx/code-ai test

For use in Claude.ai and ChatGPT

Download Skill

GitHub