What happens if a full test isn't possible in the environment?

The skill mandates that Claude explicitly states any limitations, lists what was partially verified, and provides a clear testing checklist for the user to follow.

How does Claude verify code using this skill?

Claude uses available system tools like bash_tool to run scripts, execute API calls via curl, check syntax, and observe output logs to confirm real-world functionality.

What is the 'Always Works' philosophy?

It is a methodology that prioritizes actual code execution over theoretical correctness, ensuring every change is verified through observation before being reported as fixed.

Why is this better than standard AI coding?

Standard AI often assumes logic is correct if it looks right. This skill enforces a mindset shift that prevents 'hallucinated success' by making verification a mandatory part of the workflow.

Does this support UI and configuration changes?

Yes, it includes specific requirements for verifying UI rendering, restarting services to check config loads, and querying databases to confirm data integrity.

Always Works Testing Standard

Name: Always Works Testing Standard
Author: FlorinPopaCodes

byFlorinPopaCodes

安全与测试

Ensures code reliability by enforcing mandatory execution validation and systematic verification before any implementation is finalized.

关于

The Always Works Testing Standard is a high-reliability framework designed to eliminate the gap between theoretical correctness and actual functionality. It enforces a strict philosophy where no implementation—be it a UI tweak, an API update, or a complex logic change—is considered complete until it has been verified through actual execution. By integrating a systematic '30-Second Reality Check' and mandatory tool usage for verification, this skill prevents overconfident claims and ensures that users receive functional, production-ready solutions rather than untested guesses.

主要功能

Context-specific verification requirements for UI, API, and logic
0 GitHub stars
Automatic verification using terminal tools and system logs
Mandatory execution validation for every code change
The 30-Second Reality Check for honest self-assessment
Elimination of overconfident and untested 'should work' claims

使用场景

Verifying UI component rendering and interactivity via automated checks
Ensuring API endpoints and database queries return expected results
Validating complex backend logic changes before finalizing tasks

关于

主要功能

Context-specific verification requirements for UI, API, and logic
0 GitHub stars
Automatic verification using terminal tools and system logs
Mandatory execution validation for every code change
The 30-Second Reality Check for honest self-assessment
Elimination of overconfident and untested 'should work' claims

使用场景

Verifying UI component rendering and interactivity via automated checks
Ensuring API endpoints and database queries return expected results
Validating complex backend logic changes before finalizing tasks