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Agent Skill · 开发

test-driven-development(测试驱动开发)

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

test-driven-development 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证信息还不明确,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 13,743。

总安装 832周安装 34GitHub Stars 141下载 269核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:test-driven-development(测试驱动开发)
来源仓库:https://github.com/romiluz13/cc10x
仓库路径:skills/test-driven-development
安装命令:
npx skills add https://github.com/romiluz13/cc10x --skill test-driven-development
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/romiluz13/cc10x --skill test-driven-development

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

用于辅助测试设计、自动化测试和用例整理。适合编写单元测试、端到端测试或制定测试计划。使用时需确认项目测试框架和运行命令,避免为通过测试而破坏逻辑。

安装命令:npx skills add https://github.com/romiluz13/cc10x --skill test-driven-development 适用于 Codex、Claude、Cursor、Gemini CLI,通过 GitHub 安装,建议区分模拟与真实环境。

来源仓库内路径:skills/test-driven-development

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/romiluz13/cc10x --skill test-driven-developmen…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

test-driven-development 怎么安装?

在终端执行 npx skills add https://github.com/romiluz13/cc10x --skill test-driven-development。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

test-driven-development 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

test-driven-development 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

test-driven-development 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

test-driven-development 用的人多吗?

公开数据是累计安装 832 次,近一周安装 34 次,下载 269 次,GitHub 141 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

test-driven-development 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
test-driven-development

测试驱动开发 · 本页

832141操作浏览器未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Test-Driven Development (TDD)

Overview

Write the test first. Watch it fail. Write minimal code to pass.

Core principle: If you didn't watch the test fail, you don't know if it tests the right thing.

Violating the letter of the rules is violating the spirit of the rules.

Reference Files

Read only the references needed for the current test cycle:

  • references/testing-patterns.md for naming, AAA structure, near-miss negatives, behavioral focus, and anti-pattern checks
  • references/test-data-and-mocks.md for factories, mock boundaries, common boundary mocks, and env/time handling
  • references/integration-and-live-proof.md when unit tests are not enough, or the plan requires real APIs, seeded data, browser flows, or stress proof

When to Use

Always:

  • New features
  • Bug fixes
  • Refactoring
  • Behavior changes

Exceptions (ask your human partner):

  • Throwaway prototypes
  • Generated code
  • Configuration files

Thinking "skip TDD just this once"? Stop. That's rationalization.

The Iron Law

NO PRODUCTION CODE WITHOUT A FAILING TEST FIRST

Write code before the test? Delete it. Start over.

No exceptions:

  • Don't keep it as "reference"
  • Don't "adapt" it while writing tests
  • Don't look at it
  • Delete means delete

Implement fresh from tests. Period.

Test Process Discipline (CRITICAL)

Problem: Test runners (Vitest, Jest) default to watch mode, leaving processes hanging indefinitely.

Mandatory Rules:

  1. Always use run mode — Never invoke watch mode:

- Vitest: npx vitest run (NOT npx vitest) - Jest: CI=true npx jest or npx jest --watchAll=false - npm scripts: CI=true npm test or npm test -- --run

  1. Prefer CI=true prefix for all test commands: CI=true npm test
  2. After TDD cycle complete, verify no orphaned processes: pgrep -f "vitest|jest" || echo "Clean"
  3. Kill if found: pkill -f "vitest" 2>/dev/null || true

Red-Green-Refactor

    ┌─────────┐       ┌─────────┐       ┌───────────┐
    │   RED   │──────>│  GREEN  │──────>│ REFACTOR  │
    │ (Fail)  │       │ (Pass)  │       │ (Clean)   │
    └─────────┘       └─────────┘       └───────────┘
         ^                                    │
         │                                    │
         └────────────────────────────────────┘
                    Next Feature

Vertical Slicing (CRITICAL)

WRONG (horizontal — all tests then all code):
  RED:   test1, test2, test3, test4, test5
  GREEN: impl1, impl2, impl3, impl4, impl5

RIGHT (vertical — one feature at a time):
  RED->GREEN: test1->impl1
  RED->GREEN: test2->impl2
  RED->GREEN: test3->impl3

DO NOT write all tests first, then all implementation. This produces bad tests:

  • Tests written in bulk test *imagined* behavior, not *actual* behavior
  • You end up testing the *shape* of things rather than user-facing behavior
  • Tests become insensitive to real changes — pass when behavior breaks, fail when behavior is fine
  • You outrun your headlights, committing to test structure before understanding the implementation

Correct approach: One test → one implementation → repeat. Each test responds to what you learned from the previous cycle.

RED - Write Failing Test

Write one minimal test showing what should happen.

Good:

test('retries failed operations 3 times', async () => {
  let attempts = 0;
  const operation = () => {
    attempts++;
    if (attempts < 3) throw new Error('fail');
    return 'success';
  };

  const result = await retryOperation(operation);

  expect(result).toBe('success');
  expect(attempts).toBe(3);
});

Clear name, tests real behavior, one thing

Bad:

test('retry works', async () => {
  const mock = jest.fn()
    .mockRejectedValueOnce(new Error())
    .mockRejectedValueOnce(new Error())
    .mockResolvedValueOnce('success');
  await retryOperation(mock);
  expect(mock).toHaveBeenCalledTimes(3);
});

Vague name, tests mock not code

Requirements:

  • One behavior
  • Clear name
  • Real code (no mocks unless unavoidable)

Verify RED - Watch It Fail

MANDATORY. Never skip.

CI=true npm test path/to/test.test.ts

Confirm:

  • Test fails (not errors)
  • Failure message is expected
  • Fails because feature missing (not typos)

Test passes? You're testing existing behavior. Fix test.

Test errors? Fix error, re-run until it fails correctly.

GREEN - Minimal Code

Write simplest code to pass the test.

Good:

async function retryOperation<T>(fn: () => Promise<T>): Promise<T> {
  for (let i = 0; i < 3; i++) {
    try {
      return await fn();
    } catch (e) {
      if (i === 2) throw e;
    }
  }
  throw new Error('unreachable');
}

Just enough to pass

Bad:

async function retryOperation<T>(
  fn: () => Promise<T>,
  options?: {
    maxRetries?: number;
    backoff?: 'linear' | 'exponential';
    onRetry?: (attempt: number) => void;
  }
): Promise<T> {
  // YAGNI - You Ain't Gonna Need It
}

Over-engineered

Don't add features, refactor other code, or "improve" beyond the test. Don't hard-code test values - implement general logic that works for ALL inputs.

Verify GREEN - Watch It Pass

MANDATORY.

CI=true npm test path/to/test.test.ts

Confirm:

  • Test passes
  • Other tests still pass
  • Output pristine (no errors, warnings)

Test fails? Fix code, not test.

Other tests fail? Fix now.

REFACTOR - Clean Up

After green only:

  • Remove duplication
  • Improve names
  • Extract helpers

Keep tests green. Don't add behavior.

Repeat

Next failing test for next feature.

Good Tests

QualityGoodBad
MinimalOne thing. "and" in name? Split it.test('validates email and domain and whitespace')
ClearName describes behaviortest('test1')
Shows intentDemonstrates desired APIObscures what code should do

For deeper test structure, near-miss negative tests, behavior-vs-internals, and smell checks, read references/testing-patterns.md.

For factories, mocks, and env/time handling, read references/test-data-and-mocks.md.

Why Order Matters

"I'll write tests after to verify it works"

Tests written after code pass immediately. Passing immediately proves nothing:

  • Might test wrong thing
  • Might test implementation, not behavior
  • Might miss edge cases you forgot
  • You never saw it catch the bug

Test-first forces you to see the test fail, proving it actually tests something.

"I already manually tested all the edge cases"

Manual testing is ad-hoc. You think you tested everything but:

  • No record of what you tested
  • Can't re-run when code changes
  • Easy to forget cases under pressure
  • "It worked when I tried it" ≠ comprehensive

Automated tests are systematic. They run the same way every time.

"Deleting X hours of work is wasteful"

Sunk cost fallacy. The time is already gone. Your choice now:

  • Delete and rewrite with TDD (X more hours, high confidence)
  • Keep it and add tests after (30 min, low confidence, likely bugs)

The "waste" is keeping code you can't trust. Working code without real tests is technical debt.

Red Flags - STOP and Start Over

If you catch yourself:

  • Code before test
  • Test after implementation
  • Test passes immediately
  • Can't explain why test failed
  • Tests added "later"
  • Rationalizing "just this once"
  • "I already manually tested it"
  • "Tests after achieve the same purpose"
  • "It's about spirit not ritual"
  • "Keep as reference" or "adapt existing code"
  • "Already spent X hours, deleting is wasteful"
  • "TDD is dogmatic, I'm being pragmatic"
  • "This is different because..."

All of these mean: Delete code. Start over with TDD.

Rationalization Prevention

ExcuseReality
"Too simple to test"Simple code breaks. Test takes 30 seconds.
"I'll test after"Tests passing immediately prove nothing.
"Tests after achieve same goals"Tests-after = "what does this do?" Tests-first = "what should this do?"
"Already manually tested"Ad-hoc ≠ systematic. No record, can't re-run.
"Deleting X hours is wasteful"Sunk cost fallacy. Keeping unverified code is technical debt.
"Keep as reference, write tests first"You'll adapt it. That's testing after. Delete means delete.
"Need to explore first"Fine. Throw away exploration, start with TDD.
"Test hard = design unclear"Listen to test. Hard to test = hard to use.
"TDD will slow me down"TDD faster than debugging. Pragmatic = test-first.
"Manual test faster"Manual doesn't prove edge cases. You'll re-test every change.
"Existing code has no tests"You're improving it. Add tests for existing code.

Example: Bug Fix

Bug: Empty email accepted

RED

test('rejects empty email', async () => {
  const result = await submitForm({ email: '' });
  expect(result.error).toBe('Email required');
});

Verify RED

$ npm test
FAIL: expected 'Email required', got undefined

GREEN

function submitForm(data: FormData) {
  if (!data.email?.trim()) {
    return { error: 'Email required' };
  }
  // ...
}

Verify GREEN

$ npm test
PASS

REFACTOR Extract validation for multiple fields if needed.

Verification Checklist

Before marking work complete:

  • Every new function/method has a test
  • Watched each test fail before implementing
  • Each test failed for expected reason (feature missing, not typo)
  • Wrote minimal code to pass each test
  • All tests pass
  • Output pristine (no errors, warnings)
  • Tests use real code (mocks only if unavoidable)
  • Edge cases and errors covered
  • No hanging test processes (pgrep -f "vitest|jest" returns empty)

Can't check all boxes? You skipped TDD. Start over.

Integration And Live Proof

When the accepted plan or risk profile goes beyond local behavior, read references/integration-and-live-proof.md.

Unit tests are not enough when the task depends on:

  • real API calls
  • seeded or resettable data
  • browser or worker orchestration
  • cross-service side effects
  • load or stress behavior

In those cases, keep TDD for the inner loop and escalate verification depth for the outer proof.

Coverage Threshold (Project Default)

Target: 80%+ code coverage across:

  • Branches: 80%
  • Functions: 80%
  • Lines: 80%
  • Statements: 80%

Verify with: npm run test:coverage or equivalent.

Below threshold? Add missing tests before claiming completion.

Test Prioritization

80% coverage means deliberate choices about what to test first. Focus effort on:

  • Critical user-facing paths (auth, payments, data integrity)
  • Complex logic with multiple branches
  • Code that has broken before (regression-prone areas)

Do NOT skip tests because code "looks simple" — simple code breaks too. The 80% target is a floor, not a ceiling.

When Stuck

ProblemSolution
Don't know how to testWrite wished-for API. Write assertion first. Ask your human partner.
Test too complicatedDesign too complicated. Simplify interface.
Must mock everythingCode too coupled. Use dependency injection.
Test setup hugeExtract helpers. Still complex? Simplify design.

Design for Testability (When Tests Are Hard)

If tests are hard to write, the interface needs work:

  1. Accept dependencies, don't create them

- Testable: function processOrder(order, paymentGateway) {} - Hard to test: function processOrder(order) {const gw = new StripeGateway();}

  1. Return results, don't produce side effects

- Testable: function calculateDiscount(cart): Discount {} - Hard to test: function applyDiscount(cart): void {cart.total -= discount;}

  1. Small surface area — fewer methods = fewer tests needed, fewer params = simpler setup

Behavioral Focus

Test how objects collaborate, not what they contain. If a test inspects .state, .length, or private fields, it is testing structure — and will break when internals change without behavior changing.

Test targetCorrectWrong
Function outputexpect(calculate(input)).toBe(result)expect(calculator.internalCache).toContain(...)
Component behaviorexpect(screen.getByText('Saved')).toBeTruthy()expect(component.state.saved).toBe(true)
Service interactionexpect(response.status).toBe(201)expect(service.callCount).toBe(1)

This is already implied by the "Testing implementation" smell in the Test Smells table. Make it the default lens: every assertion should answer "what did the user/caller observe?" not "what happened inside?"

Test Contracts Across Agents

When CC10x routes work across multiple agents (planner writes test specs, builder implements, reviewer verifies), the test file IS the contract:

  • Planner defines expected behavior as test names and assertions in the plan
  • Builder writes tests first, implements to green — the test file proves the contract is met
  • Reviewer re-runs the same tests — pass means contract fulfilled, fail means contract broken

Do not duplicate the contract in prose. If the test file expresses the requirement, the test file is the requirement.

Output Format

## TDD Cycle

### Requirements
[What functionality is being built]

### RED Phase
- Test: [test name]
- Command: `npm test -- --grep "test name"`
- Result: exit 1 (FAIL as expected)
- Failure reason: [function not defined / expected X got Y]

### GREEN Phase
- Implementation: [summary]
- File: [path:line]
- Command: `npm test -- --grep "test name"`
- Result: exit 0 (PASS)

### REFACTOR Phase
- Changes: [what was improved]
- Command: `npm test`
- Result: exit 0 (all tests pass)

Final Rule

Production code → test exists and failed first
Otherwise → not TDD

No exceptions without your human partner's permission.

平台分布

Codex

36.65%
按下载量换算99

Claude

33.28%
按下载量换算90

Cursor

17.46%
按下载量换算47

Gemini CLI

8.78%
按下载量换算24

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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