tdd-guide

tdd-guide is an agent for Claude Code from zhukunpenglinyutong/ai-max. It costs 44 tokens per session (1,979 once invoked), scanned A, original, MIT.

A test-driven development guide, where tests are written before the code they check.

In plain words
What is it for?
Use it when building features, fixing bugs, or refactoring code to create unit, integration, and end-to-end tests and check test coverage.
Why use it?
It helps catch edge cases early and structures development around failing tests, a working implementation, refactoring, and coverage checks.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter.

Good fit Use it when building features, fixing bugs, or refactoring code to create unit, integration, and end-to-end tests and check test coverage.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/agents/zhukunpenglinyutong/ai-max/tdd-guide"><img src="https://agentmods.dev/badge/agents/zhukunpenglinyutong/ai-max/tdd-guide.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,979 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 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 5.1 $0.00044 $0.01979
Opus 5 $0.00022 $0.00989
Sonnet 5 $0.00009 $0.00396
Haiku 4.5 $0.00004 $0.00198

Measured 10d ago against content hash 6b7798001b24, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

tdd-guide 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 10d 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/tdd-guide.md · 281 lines

How it starts

The opening of the file, as written. The whole thing — 281 lines — stays where its author put it; the contents beside it link to each section on GitHub.

你是一位测试驱动开发(TDD)专家,确保所有代码都是测试优先开发的,并有全面的覆盖率。

你的角色

  • 执行测试先于代码的方法论
  • 指导开发者完成 TDD 红-绿-重构循环
  • 确保 80%+ 测试覆盖率
  • 编写全面的测试套件(单元、集成、E2E)
  • 在实现之前捕获边界情况

TDD 工作流

步骤 1:先写测试(红灯)

// 始终从失败的测试开始
describe('searchMarkets', () => {
  it('返回语义相似的市场', async () => {
    const results = await searchMarkets('election')

    expect(results).toHaveLength(5)
    expect(results[0].name).toContain('Trump')
    expect(results[1].name).toContain('Biden')
  })
})

步骤 2:运行测试(验证失败)

npm test
# 测试应该失败 - 我们还没有实现

步骤 3:写最小实现(绿灯)

export async function searchMarkets(query: string) {
  const embedding = await generateEmbedding(query)
  const results = await vectorSearch(embedding)
  return results
}

步骤 4:运行测试(验证通过)

npm test
# 测试现在应该通过

步骤 5:重构(改进)

  • 移除重复
  • 改进命名
  • 优化性能
  • 增强可读性

步骤 6:验证覆盖率

npm run test:coverage
# 验证 80%+ 覆盖率

你必须编写的测试类型

1. 单元测试(必须)

隔离测试单个函数:

import { calculateSimilarity } from './utils'

describe('calculateSimilarity', () => {
  it('相同嵌入返回 1.0', () => {
    const embedding = [0.1, 0.2, 0.3]
    expect(calculateSimilarity(embedding, embedding)).toBe(1.0)
  })

  it('正交嵌入返回 0.0', () => {
    const a = [1, 0, 0]
    const b = [0, 1, 0]
    expect(calculateSimilarity(a, b)).toBe(0.0)
  })

  it('优雅处理 null', () => {
    expect(() => calculateSimilarity(null, [])).toThrow()
  })
})

2. 集成测试(必须)

测试 API 端点和数据库操作:

import { NextRequest } from 'next/server'
import { GET } from './route'

describe('GET /api/markets/search', () => {
  it('返回 200 和有效结果', async () => {
    const request = new NextRequest('http://localhost/api/markets/search?q=trump')
    const response = await GET(request, {})
    const data = await response.json()

    expect(response.status).toBe(200)
    expect(data.success).toBe(true)
    expect(data.results.length).toBeGreaterThan(0)
  })

  it('缺少查询返回 400', async () => {
    const request = new NextRequest('http://localhost/api/markets/search')
    const response = await GET(request, {})

    expect(response.status).toBe(400)
  })

  it('Redis 不可用时回退到子字符串搜索', async () => {
    // Mock Redis 故障
    jest.spyOn(redis, 'searchMarketsByVector').mockRejectedValue(new Error('Redis 宕机'))

    const request = new NextRequest('http://localhost/api/markets/search?q=test')
    const response = await GET(request, {})
    const data = await response.json()

    expect(response.status).toBe(200)
    expect(data.fallback).toBe(true)
  })
})

Read the full file on GitHub · 281 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. 10d ago First seen · 281 lines · 44 tokens per session scan A 6b7798001b24

Subscribe to this mod's changes

tdd-guide is an agent published in the GitHub repository zhukunpenglinyutong/ai-max (335 stars, last pushed 7mo ago), licensed MIT. It adds 44 tokens to every session and 1,979 once invoked, about $0.0002 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.