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Agent Skill · 前端设计

cpp-mock-testing(cpp 模拟测试)

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。

cpp-mock-testing 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描已通过,按安装量在前端设计类的 10,216 个 Skill 里排第 7,875。

总安装 333周安装 14GitHub Stars 1下载 116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:cpp-mock-testing(cpp 模拟测试)
来源仓库:https://github.com/sentenz/skills
仓库路径:skills/cpp-mock-testing
安装命令:
npx skills add https://github.com/sentenz/skills --skill cpp-mock-testing
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/sentenz/skills --skill cpp-mock-testing

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

cpp-mock-testing 使用 Google Mock (GMock) 创建测试替身,隔离单元测试依赖。适用于复杂对象和外部服务的模拟,支持序列验证和异常注入。需定义清晰接口契约,避免过度模拟导致测试脆弱,确保行为可预测。建议结合 table-driven 测试提升覆盖率,并定期重构 mock 以反映真实变化。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/cpp-mock-testing

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/sentenz/skills --skill cpp-mock-testing;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

    它需要调用外部服务,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

cpp-mock-testing 怎么安装?

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

cpp-mock-testing 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。

cpp-mock-testing 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

cpp-mock-testing 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。

cpp-mock-testing 用的人多吗?

公开数据是累计安装 333 次,近一周安装 14 次,下载 116 次,GitHub 1 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。

cpp-mock-testing 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

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。
  • 需要处理前端设计类任务、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。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
cpp-mock-testing

cpp 模拟测试 · 本页

3331调用外部服务未明确通过

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

Mock Testing

Instructions for AI coding agents on automating mock test creation using Google Mock (GMock) with consistent software testing patterns in this C++ project.

- 2.1. FIRST

- 7.1. File Header Template - 7.2. Mock Class Template - 7.3. Table-Driven Mock Test Template - 7.4. Sequence Verification Template - 7.5. Exception Testing Template - 7.6. NiceMock Template

1. Benefits

  • Isolation Isolates the unit under test from external dependencies, ensuring tests focus on the specific component's behavior.
  • Control Provides precise control over dependency behavior through expectations and return values, enabling thorough testing of edge cases and error conditions.
  • Verification Automatically verifies that dependencies are called correctly with expected parameters and call counts.
  • Flexibility Supports various testing scenarios including strict mocks, nice mocks, and sequence verification for complex interactions.

2. Principles

2.1. FIRST

The FIRST principles for mock testing focus on creating effective and maintainable tests.

  • Fast Mock tests should execute quickly by replacing slow dependencies (network, file system, databases) with fast mock implementations to provide rapid feedback.
  • Independent Each mock test should be self-contained with its own mock setup and not rely on the state or behavior of other tests.
  • Repeatable Mock tests should produce deterministic results every time by controlling dependency behavior through expectations and return values.
  • Self-Validating Mock tests should have clear pass/fail outcomes with automatic verification of mock expectations and assertion results.
  • Timely Mock tests should be written alongside production code to validate the interaction contracts between components.

3. Patterns

  • Mock Objects Simulated objects that mimic the behavior of real objects in controlled ways. They verify interactions between the unit under test and its dependencies.
  • Interface Mocking Creating mock implementations of abstract interfaces or base classes to isolate the unit under test from concrete implementations.
  • Behavior Verification Verifying that methods are called with expected arguments and in the correct order, rather than just checking return values.
  • Return Value Stubbing Configuring mock objects to return specific values when their methods are called, allowing control over dependency behavior during tests.
  • Exception Injection Using mocks to simulate error conditions by throwing exceptions, enabling tests to verify error handling logic.

4. Workflow

  1. Identify Dependencies Identify interfaces or classes that need to be mocked (e.g., database connections, file systems, network services, external APIs).
  2. Create Mock Classes Create mock classes for interfaces under test(s)/unit/<module>/ using GMock's MOCK_METHOD macro.
  3. Register with CMake Add the test file to test(s)/unit/<module>/CMakeLists.txt using meta_gtest() with WITH_GMOCK option. meta_gtest(WITH_GMOCK TARGET ${PROJECT_NAME}-test SOURCES <header>_test.cpp)
  4. Define Expectations Set up expectations using EXPECT_CALL to specify:

- Which methods should be called - Expected arguments (using matchers) - Call frequency (Times, AtLeast, AtMost, etc.) - Return values or actions

  1. Test Coverage Requirements Include comprehensive scenarios:

- Normal operation with mocked dependencies - Error conditions (exceptions, null returns, invalid data) - Boundary conditions in dependency interactions - Sequence of calls to multiple dependencies - Concurrent access scenarios when applicable

  1. Apply Templates Structure all tests using the template pattern below.

5. Commands

CommandDescription
make cmake-gcc-test-unit-buildCMake preset configuration with GMock support and Compile with Ninja
make cmake-gcc-test-unit-runExecute tests via ctest (mock tests are part of unit tests)
make cmake-gcc-test-unit-coverageExecute tests via ctest and generate coverage reports including mock test coverage

6. Style Guide

  • Test Framework Use Google Mock (GMock) framework via #include <gmock/gmock.h> and #include <gtest/gtest.h>.
  • Mock Class Definition Define mock classes inheriting from the interface to be mocked. Use MOCK_METHOD macro with proper method signature, including const qualifiers and override specifiers.
  • Include Headers GMock/GTest headers are listed first in mock test files as a convention to clearly identify the file as a test file using the GMock framework. Include necessary headers in this order:

1. GMock/GTest headers (<gmock/gmock.h>, <gtest/gtest.h>) 2. Standard library headers (<memory>, <string>, etc.) 3. Project interface headers 4. Project implementation headers

  • Namespace Use using namespace <namespace>; and using namespace::testing; for convenience within test functions to access GMock matchers and actions.
  • Test Organization Use table-driven testing for multiple scenarios with the same mock setup. Each TEST or TEST_F should focus on one aspect of the interaction with mocked dependencies.
  • Mock Types

- NiceMock Ignores unexpected calls (use for non-critical dependencies) - StrictMock Fails on any unexpected calls (use for strict verification) - Default Mock Warns on unexpected calls (balanced approach)

  • Expectations

- Use EXPECT_CALL to set up expectations before exercising the unit under test - Chain matchers with .With(), .WillOnce(), .WillRepeatedly(), .Times() - Prefer specific matchers (Eq(), Gt(), _) over generic ones when possible

  • Matchers and Actions

- Use built-in matchers: _ (anything), Eq(), Ne(), Lt(), Gt(), Le(), Ge(), IsNull(), NotNull() - Container matchers: IsEmpty(), SizeIs(), Contains(), ElementsAre() - String matchers: StartsWith(), EndsWith(), HasSubstr(), MatchesRegex() - Use Return(), ReturnRef(), Throw(), DoAll(), Invoke() for actions

  • Sequence Verification Use InSequence or Sequence objects when call order matters.
  • Traceability Employ SCOPED_TRACE(tc.label) for traceable failures in table-driven mock tests.
  • Assertions Use EXPECT_* macros to allow all test cases to run. Mock expectations are automatically verified at the end of each test.

7. Template

Use these templates for new mock tests. Replace placeholders with actual values.

7.1. File Header Template

#include <gmock/gmock.h>
#include <gtest/gtest.h>

#include <memory>
#include <string>
#include <vector>

#include "<module>/<interface>.hpp"
#include "<module>/<implementation>.hpp"

using namespace <namespace>;
using namespace ::testing;

7.2. Mock Class Template

/**
 * @brief Mock implementation of <Interface> for testing.
 */
class Mock<Interface> : public <Interface>
{
public:
  MOCK_METHOD(<return_type>, <method_name>, (<param_types>), (override));
  MOCK_METHOD(<return_type>, <method_name2>, (<param_types>), (const, override));
};

7.3. Table-Driven Mock Test Template

TEST(<Module>Test, <FunctionName>WithMock)
{
  // In-Got-Want
  struct Tests
  {
    std::string label;

    struct In
    {
      /* input types and names */
    } in;

    struct Want
    {
      <output_type> expected;     // expected output type(s) and name(s)
      /* expected mock call parameters and behavior */
      <size_t> call_count;        // number of times method should be called
      <return_type> return_value; // value mock should return
      <param_type> param;         // expected parameter value(s)
    } want;
  };

  // Table-Driven Testing
  const std::vector<Tests> tests = {
    {
      "case-description-1",
      /* in */ {/* input values */},
      /* want */ {/* expected */, /* call_count */ 1, /* return_value */ {}, /* param */ {}}
    },
    {
      "case-description-2",
      /* in */ {/* input values */},
      /* want */ {/* expected */, /* call_count */ 1, /* return_value */ {}, /* param */ {}}
    },
    // add more cases as needed
  };

  for (const auto &tc : tests)
  {
    SCOPED_TRACE(tc.label);

    // Arrange
    auto mock_dependency = std::make_shared<Mock<Interface>>();

    EXPECT_CALL(*mock_dependency, <method_name>(tc.want.param))
        .Times(tc.want.call_count)
        .WillOnce(Return(tc.want.return_value));

    <Implementation> object(mock_dependency);

    // Act
    auto got = object.<function>(tc.in.<input>);

    // Assert
    EXPECT_EQ(got, tc.want.expected);
  }
}

7.4. Sequence Verification Template

TEST(<Module>Test, <FunctionName>WithSequence)
{
  // Arrange
  auto mock_dependency = std::make_shared<StrictMock<Mock<Interface>>>();

  InSequence seq;
  EXPECT_CALL(*mock_dependency, <method1>(_)).WillOnce(Return(<value1>));
  EXPECT_CALL(*mock_dependency, <method2>(_)).WillOnce(Return(<value2>));

  <Implementation> object(mock_dependency);

  // Act
  auto got = object.<function>();

  // Assert
  EXPECT_EQ(got, <expected>);
}

7.5. Exception Testing Template

TEST(<Module>Test, <FunctionName>ThrowsOnError)
{
  // Arrange
  auto mock_dependency = std::make_shared<Mock<Interface>>();

  EXPECT_CALL(*mock_dependency, <method_name>(_))
      .WillOnce(Throw(std::runtime_error("error message")));

  <Implementation> object(mock_dependency);

  // Act & Assert
  EXPECT_THROW(object.<function>(), std::runtime_error);
}

7.6. NiceMock Template

TEST(<Module>Test, <FunctionName>WithNiceMock)
{
  // Arrange
  auto mock_dependency = std::make_shared<NiceMock<Mock<Interface>>>();

  ON_CALL(*mock_dependency, <method_name>(_))
      .WillByDefault(Return(<default_value>));

  EXPECT_CALL(*mock_dependency, <critical_method>(_))
      .Times(1)
      .WillOnce(Return(<value>));

  <Implementation> object(mock_dependency);

  // Act
  auto got = object.<function>();

  // Assert
  EXPECT_EQ(got, <expected>);
}

8. References

平台分布

Codex

37.57%
按下载量换算44

Claude

28.8%
按下载量换算33

Cursor

20.51%
按下载量换算24

Gemini CLI

9.18%
按下载量换算11

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。目前只有一个公开来源,建议同时核对源仓库。

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