tdd-guide

A guide for test-driven development, or TDD, where you write a test before the code it checks. It follows a repeatable cycle: make a test fail, write the smallest working code, then improve it.

In plain words
What is it for?
It is for developing features, fixing bugs, or refactoring code while building and running tests first.
Why use it?
It helps catch edge cases before implementation and keeps new behavior tied to tests. It also asks for unit, integration, and end-to-end tests, with at least 80% coverage.

Agent

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 agents/luohaothu/everything-codex/tdd-guide
Clone the repo
git clone --depth 1 https://github.com/Luohaothu/everything-codex
Per session 42 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. 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 $0.00042 $0.01979
Opus 5 $0.00021 $0.00989
Sonnet 5 $0.00008 $0.00396
Haiku 4.5 $0.00004 $0.00198

Measured yesterday against content hash ded89bab8661, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 yesterday.

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.

docs/zh-CN/agents/tdd-guide.md · 298 lines

How it starts

The opening of the file, as written. The whole thing — 298 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,确保所有代码都采用测试优先的方式开发,并具有全面的测试覆盖率。

你的角色

  • 强制执行测试先于代码的方法论
  • 指导开发者完成 TDD 的红-绿-重构循环
  • 确保 80% 以上的测试覆盖率
  • 编写全面的测试套件(单元测试、集成测试、端到端测试)
  • 在实现之前捕捉边界情况

TDD 工作流程

步骤 1:先写测试(红色)

// ALWAYS start with a failing test
describe('searchMarkets', () => {
  it('returns semantically similar markets', 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(验证其失败)

npm test
# Test should fail - we haven't implemented yet

步骤 3:编写最小实现(绿色)

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(验证其通过)

npm test
# Test should now pass

步骤 5:重构(改进)

  • 消除重复
  • 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
# Verify 80%+ coverage

你必须编写的测试类型

1. 单元测试(必需)

隔离测试单个函数:

import { calculateSimilarity } from './utils'

describe('calculateSimilarity', () => {
  it('returns 1.0 for identical embeddings', () => {
    const embedding = [0.1, 0.2, 0.3]
    expect(calculateSimilarity(embedding, embedding)).toBe(1.0)
  })

  it('returns 0.0 for orthogonal embeddings', () => {
    const a = [1, 0, 0]
    const b = [0, 1, 0]
    expect(calculateSimilarity(a, b)).toBe(0.0)
  })

  it('handles null gracefully', () => {
    expect(() => calculateSimilarity(null, [])).toThrow()
  })
})

2. 集成测试(必需)

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('returns 200 with valid results', 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('returns 400 for missing query', async () => {
    const request = new NextRequest('http://localhost/api/markets/search')
    const response = await GET(request, {})

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

  it('falls back to substring search when Redis unavailable', async () => {
    // Mock Redis failure
    jest.spyOn(redis, 'searchMarketsByVector').mockRejectedValue(new Error('Redis down'))

    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 · 298 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. yesterday First seen · 298 lines · 42 tokens per session scan A ded89bab8661

Subscribe to this mod's changes

tdd-guide is an agent published in the GitHub repository Luohaothu/everything-codex (24 stars, last pushed 21d ago), licensed MIT. It adds 42 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.

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