Tdd Enforcement logo

Tdd Enforcement

OrganizationPopular
a5c-ai
tdd-enforcement

Red-Green-Refactor TDD methodology with mandatory failing tests, minimal implementation, quality refactoring, and 80% coverage gating.

Overview

Publishera5c-ai
Repositorybabysitter
Skill nametdd-enforcement
Stars
1.8K
Forks
106
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by a5c-ai on GitHub. Read the source before you install it.

Installation

Install the Tdd Enforcement AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/a5c-ai/babysitter.git /tmp/babysitter
mkdir -p .claude/skills
cp -r /tmp/babysitter/library/methodologies/everything-claude-code/skills/tdd-enforcement .claude/skills/tdd-enforcement
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tdd Enforcement in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Tdd Enforcement on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Tdd Enforcement is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

  • Write tests that define expected behavior
  • Tests MUST fail (exit code 1)
  • Use CI=true or --run flag, never watch mode
  • Apply timeout guards (60s) to prevent hanging
  • Record exit code as evidence

2. GREEN Phase - Minimal Implementation

  • Write the minimal code to make tests pass
  • Do NOT add features not covered by tests
  • Do NOT optimize prematurely
  • Tests MUST pass (exit code 0)
  • Record exit code as evidence

3. REFACTOR Phase - Quality Improvement

  • Apply SOLID principles and clean code patterns
  • Improve naming, reduce coupling
  • Remove duplication
  • Run tests after EACH refactoring step
  • Tests MUST remain passing (exit code 0)

4. Coverage Gate

  • Measure coverage: statements, branches, functions, lines
  • Minimum 80% overall coverage required
  • Iterate: write additional tests for gaps until threshold met
  • Maximum 3 convergence iterations

Rules

  • Never skip the RED phase
  • Never accept GREEN without exit code 0
  • Never use watch mode in CI
  • Always record evidence (exit codes, coverage numbers)
  • Enforce 80% coverage threshold

When to Use

  • All code implementation tasks
  • Feature development
  • Bug fixes (write regression test first)

Agents Used

  • tdd-guide (primary consumer)
  • code-reviewer (validates test quality)

Frequently asked questions

What does the Tdd Enforcement AI skill do?

Red-Green-Refactor TDD methodology with mandatory failing tests, minimal implementation, quality refactoring, and 80% coverage gating.

Why use Tdd Enforcement on TypingMind?

Because you install it once and use it with any model. Tdd Enforcement is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Tdd Enforcement in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/a5c-ai/babysitter/tree/main/library/methodologies/everything-claude-code/skills/tdd-enforcement. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Tdd Enforcement?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Tdd Enforcement?

As many as you like. As long as a model supports skills, you can use Tdd Enforcement with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Tdd Enforcement AI skill free?

Yes. It is published on GitHub by a5c-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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