tdd

tdd is a command for Claude Code from zhukunpenglinyutong/ai-max. It costs 37 tokens per session (2,451 once invoked), scanned A, a copy of tdd, MIT.

A command that uses test-driven development (TDD): define the code interface, write tests first, implement the smallest working solution, and then improve it. It also checks that at least 80% of the code is covered by tests.

In plain words
What is it for?
Use it when adding features, writing functions or components, fixing bugs, refactoring code, or building important business logic.
Why use it?
It helps catch mistakes early and keeps new changes tied to clear, repeatable tests. The required steps make the development process more consistent.

Command for Claude Code

Written for Claude Code: a Claude Code command (commands/*.md). Also seen: reads .claude/ paths.

Good fit Use it when adding features, writing functions or components, fixing bugs, refactoring code, or building important business logic.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/zhukunpenglinyutong/ai-max/tdd
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.

Clone the repo
git clone --depth 1 https://github.com/zhukunpenglinyutong/ai-max

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for tdd

README.md
[![agentmods](https://agentmods.dev/badge/commands/zhukunpenglinyutong/ai-max/tdd/github.svg)](https://agentmods.dev/commands/zhukunpenglinyutong/ai-max/tdd)
Your own site
<a href="https://agentmods.dev/commands/zhukunpenglinyutong/ai-max/tdd"><img src="https://agentmods.dev/badge/commands/zhukunpenglinyutong/ai-max/tdd/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for tdd

Your own site · 80×15
<a href="https://agentmods.dev/commands/zhukunpenglinyutong/ai-max/tdd"><img src="https://agentmods.dev/badge/commands/zhukunpenglinyutong/ai-max/tdd.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,451 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 88% copy Near-identical to another mod 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 5.1 $0.00037 $0.02451
Opus 5 $0.00018 $0.01226
Sonnet 5 $0.00007 $0.00490
Haiku 4.5 $0.00004 $0.00245

Measured 12d ago against content hash 0eb3891bd1a7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

tdd 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 12d 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.

Origin

This is a copy

88% identical to tdd — 154 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

commands/tdd.md · 327 lines

How it starts

The opening of the file, as written. The whole thing — 327 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TDD 命令

此命令调用 tdd-guide 代理来强制执行测试驱动开发方法论。

此命令的功能

  1. 搭建接口 - 首先定义类型/接口
  2. 先生成测试 - 编写失败的测试(红色阶段)
  3. 实现最小代码 - 只编写足够通过测试的代码(绿色阶段)
  4. 重构 - 在保持测试通过的同时改进代码(重构阶段)
  5. 验证覆盖率 - 确保 80% 以上的测试覆盖率

何时使用

在以下情况使用 /aimax:tdd

  • 实现新功能
  • 添加新函数/组件
  • 修复 bug(首先编写重现 bug 的测试)
  • 重构现有代码
  • 构建关键业务逻辑

工作原理

tdd-guide 代理将:

  1. 定义接口,用于输入/输出
  2. 编写将会失败的测试(因为代码还不存在)
  3. 运行测试,验证它们因正确的原因而失败
  4. 编写最小实现使测试通过
  5. 运行测试,验证它们通过
  6. 重构代码,同时保持测试通过
  7. 检查覆盖率,如果低于 80% 则添加更多测试

TDD 循环

红色 → 绿色 → 重构 → 重复

红色:     编写一个失败的测试
绿色:     编写最小代码使其通过
重构:     改进代码,保持测试通过
重复:     下一个功能/场景

使用示例

用户:/aimax:tdd 我需要一个计算市场流动性评分的函数

代理(tdd-guide):
# TDD 会话:市场流动性评分计算器

## 步骤 1:定义接口(搭建)

```typescript
// lib/liquidity.ts
export interface MarketData {
  totalVolume: number
  bidAskSpread: number
  activeTraders: number
  lastTradeTime: Date
}

export function calculateLiquidityScore(market: MarketData): number {
  // TODO: Implementation
  throw new Error('Not implemented')
}

步骤 2:编写失败的测试(红色)

// lib/liquidity.test.ts
import { calculateLiquidityScore } from './liquidity'

describe('calculateLiquidityScore', () => {
  it('should return high score for liquid market', () => {
    const market = {
      totalVolume: 100000,
      bidAskSpread: 0.01,
      activeTraders: 500,
      lastTradeTime: new Date()
    }

    const score = calculateLiquidityScore(market)

    expect(score).toBeGreaterThan(80)
    expect(score).toBeLessThanOrEqual(100)
  })

  it('should return low score for illiquid market', () => {
    const market = {
      totalVolume: 100,
      bidAskSpread: 0.5,
      activeTraders: 2,
      lastTradeTime: new Date(Date.now() - 86400000) // 1 day ago
    }

    const score = calculateLiquidityScore(market)

    expect(score).toBeLessThan(30)
    expect(score).toBeGreaterThanOrEqual(0)
  })

  it('should handle edge case: zero volume', () => {
    const market = {
      totalVolume: 0,
      bidAskSpread: 0,
      activeTraders: 0,
      lastTradeTime: new Date()
    }

Read the full file on GitHub · 327 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. 12d ago First seen · 327 lines · 37 tokens per session scan A 0eb3891bd1a7

Subscribe to this mod's changes

tdd is a command published in the GitHub repository zhukunpenglinyutong/ai-max (335 stars, last pushed 7mo ago), licensed MIT. It adds 37 tokens to every session and 2,451 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to tdd, differing in 154 lines, and is treated as a copy.