Can I use this skill for debugging?

Yes, the skill uses test failures as a signal to trigger a specific debug protocol, helping Claude identify and fix issues systematically until tests pass.

What happens if code is submitted without passing tests?

The skill includes strict guardrails that reject new code changes unless they are accompanied by passing tests, maintaining a 'green' state for your repository.

What is the Trust Layer TDD skill?

Trust Layer TDD is a specialized capability for Claude Code that enforces a test-first approach to software development, ensuring all code changes are verified by tests.

How does this skill improve code quality?

By requiring tests before any logic is changed, it ensures that all modifications are verified and prevents untested or broken code from being integrated into your project.

Trust Layer TDD

Name: Trust Layer TDD
Author: CheekyCodexConjurer

byCheekyCodexConjurer

Security & Testing

Enforces test-driven development workflows by requiring failing tests before implementing behavioral code changes.

About

Trust Layer TDD is a specialized Claude Code skill designed to integrate rigorous Test-Driven Development (TDD) principles into your AI-assisted coding workflow. It acts as a safety layer that mandates the creation of tests prior to any behavioral modifications, ensuring that every change is backed by a proof of correctness. By triggering a structured debug protocol upon test failure and preventing the integration of untested code, this skill minimizes regressions and improves overall software reliability during automated development sessions.

Key Features

Strict Test-First Enforcement
Code Integrity Guardrails
Iterative Green-Light Validation
0 GitHub stars
Automated Debugging Workflows
Proof of Correctness Verification

Use Cases

Ensuring new feature development meets specific technical requirements through failing tests.
Standardizing TDD practices across an AI-driven development pipeline.
Preventing regressions when refactoring complex legacy codebases.

About

Key Features

Strict Test-First Enforcement
Code Integrity Guardrails
Iterative Green-Light Validation
0 GitHub stars
Automated Debugging Workflows
Proof of Correctness Verification

Use Cases

Ensuring new feature development meets specific technical requirements through failing tests.
Standardizing TDD practices across an AI-driven development pipeline.
Preventing regressions when refactoring complex legacy codebases.