tdd-red-green-refactor

A test-driven development workflow for TypeScript and Node.js. TDD means writing a test that fails, adding the smallest code that makes it pass, and then cleaning up the code.

In plain words
What is it for?
Use it when adding a feature, fixing a bug, or moving existing logic in a TypeScript or Node.js project.
Why use it?
It makes each change verifiable and helps catch incorrect behavior early. The required failure and passing test provide evidence that the new code addresses the intended behavior.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/google-labs-code/design.md/tdd
Any agent
npx skills add google-labs-code/design.md --skill tdd
Clone the repo
git clone --depth 1 https://github.com/google-labs-code/design.md

Made for: Claude Code, Codex.

Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 753 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00053 $0.00753
Opus 5 $0.00026 $0.00377
Sonnet 5 $0.00011 $0.00151
Haiku 4.5 $0.00005 $0.00075

Measured 2d ago against content hash 8df7a9e382da, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

tdd-red-green-refactor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/tdd/SKILL.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Red-Green-Refactor (TDD) Skill: TypeScript Edition

This skill implements a structural framework for AI-assisted programming to ensure every line of code is verifiable, typed, and purposeful.

The Three-Phase Cycle

Phase 1: Red (Establish Failure)

You must prove the feature does not exist and that your test is valid.

  1. Write One Test: Create a single test case (e.g., in Vitest or Jest) for the next small piece of behavior.
  2. Execute & Fail: Run the test. It must fail.
  3. Verify: Ensure the failure is related to the missing logic (e.g., ReferenceError: add is not defined) and not a configuration error.

Phase 2: Green (Minimal Pass)

Make the test pass as quickly and simply as possible.

  1. Minimal Implementation: Write the simplest code that satisfies the test. Do not build for the future; focus strictly on the current "Red" test.
  2. Run Tests: Execute the suite. All tests must be Green.
  3. Evidence: The transition from Red to Green is the "Proof of Work" for the developer.

Phase 3: Refactor (Clean Up)

Improve the code structure while maintaining the "Green" state.

  1. Clean Up: Improve naming, remove duplication, and optimize the code written in Phase 2.
  2. Safety Net: Rerun the tests after every change. If they turn Red, revert the change immediately.

Core Operational Rules

1. No "Horizontal Splurging"

You are strictly forbidden from writing a large "splurge" of multiple tests at once. You must follow a strictly incremental loop:

  • Write 1 Test -> See it Fail -> Write 1 Fix -> See it Pass.
  • Repeat this loop for every sub-feature.

2. Impose Backpressure

Use automated assertions and strong typing (TypeScript) as backpressure to prevent the AI from "guessing" the solution or "playing in the mud" with low-quality code.

3. Verification of Integrity

Never modify an existing test to make a failing implementation pass. If a test must change, it must be because the requirement changed, not because the code is difficult to write.

Read the full file on GitHub · 82 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 82 lines · 53 tokens per session scan A 8df7a9e382da

Subscribe to this mod's changes

tdd-red-green-refactor is a skill published in the GitHub repository google-labs-code/design.md (27,650 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 53 tokens to every session and 753 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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