cpp-testing▌
affaan-m/everything-claude-code · updated May 13, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Modern C++ testing workflow using GoogleTest/GoogleMock with CMake/CTest integration.
- ›Covers unit and integration test design with TDD red-green-refactor loop, fixtures, mocks, and fakes for dependency isolation
- ›Includes CMake/CTest configuration with automatic test discovery via gtest_discover_tests() and filtering strategies
- ›Provides coverage setup for GCC (gcov/lcov) and Clang (llvm-cov), plus sanitizer configuration (ASan, UBSan, TSan) for memory and race detection
- ›Documents f
C++ Testing (Agent Skill)
Agent-focused testing workflow for modern C++ (C++17/20) using GoogleTest/GoogleMock with CMake/CTest.
When to Use
- Writing new C++ tests or fixing existing tests
- Designing unit/integration test coverage for C++ components
- Adding test coverage, CI gating, or regression protection
- Configuring CMake/CTest workflows for consistent execution
- Investigating test failures or flaky behavior
- Enabling sanitizers for memory/race diagnostics
When NOT to Use
- Implementing new product features without test changes
- Large-scale refactors unrelated to test coverage or failures
- Performance tuning without test regressions to validate
- Non-C++ projects or non-test tasks
Core Concepts
- TDD loop: red → green → refactor (tests first, minimal fix, then cleanups).
- Isolation: prefer dependency injection and fakes over global state.
- Test layout:
tests/unit,tests/integration,tests/testdata. - Mocks vs fakes: mock for interactions, fake for stateful behavior.
- CTest discovery: use
gtest_discover_tests()for stable test discovery. - CI signal: run subset first, then full suite with
--output-on-failure.
TDD Workflow
Follow the RED → GREEN → REFACTOR loop:
- RED: write a failing test that captures the new behavior
- GREEN: implement the smallest change to pass
- REFACTOR: clean up while tests stay green
// tests/add_test.cpp
#include <gtest/gtest.h>
int Add(int a, int b); // Provided by production code.
TEST(AddTest, AddsTwoNumbers) { // RED
EXPECT_EQ(Add(2, 3), 5);
}
// src/add.cpp
int Add(int a, int b) { // GREEN
return a + b;
}
// REFACTOR: simplify/rename once tests pass
Code Examples
Basic Unit Test (gtest)
// tests/calculator_test.cpp
#include <gtest/gtest.h>
int Add(int a, int b); // Provided by production code.
TEST(CalculatorTest, AddsTwoNumbers) {
EXPECT_EQ(Add(2, 3), 5);
}
Fixture (gtest)
// tests/user_store_test.cpp
// Pseudocode stub: replace UserStore/User with project types.
#include <gtest/gtest.h>
#include <memory>
#include <optional>
#include <string>
struct User { std::string name; };
class UserStore {
public:
explicit UserStore(std::string /*path*/) {}
void Seed(std::initializer_list<User> /*users*/) {}
std::optional<User> Find(const std::string &/*name*/) { return User{"alice"}; }
};
class UserStoreTest : public ::testing::Test {
protected:
void SetUp() override {
store = std::make_unique<UserStore>(":memory:");
store->Seed({{"alice"}, {"bob"}});
}
std::unique_ptr<UserStore> store;
};
TEST_F(UserStoreTest, FindsExistingUser) {
auto user = store->Find("alice");
ASSERT_TRUE(user.has_value());
EXPECT_EQ(user->name, "alice");
}
Mock (gmock)
// tests/notifier_test.cpp
#include <gmock/gmock.h>
#include <gtest/gtest.h>
#include <string>
class Notifier {
public:
virtual ~Notifier() = default;
virtual void Send(const std::string &message) = 0;
};
class MockNotifier : public Notifier {
public:
MOCK_METHOD(void, Send, (const std::string &message), (override));
};
class Service {
public:
explicit Service(Notifier ¬ifier) : notifier_(notifier) {}
void Publish(const std::string &message) { notifier_.Send(message); }
private:
Notifier ¬ifier_;
};
TEST(ServiceTest, SendsNotifications) {
MockNotifier notifier;
Service service(notifier);
EXPECT_CALL(notifier, Send("hello")).Times(1);
service.Publish("hello");
}
CMake/CTest Quickstart
# CMakeLists.txt (excerpt)
cmake_minimum_required(VERSION 3.20)
project(example LANGUAGES CXX)
set(CMAKE_CXX_STANDARD 20)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
include(FetchContent)
# Prefer project-locked versions. If using a tag, use a pinned version per project policy.
set(GTEST_VERSION v1.17.0) # Adjust to project policy.
FetchContent_Declare(
googletest
# Google Test framework (official repository)
URL https://github.com/google/googletest/archive/refs/tags/${GTEST_VERSION}.zip
)
FetchContent_MakeAvailable(googletest)
add_executable(example_tests
tests/calculator_test.cpp
src/calculator.cpp
)
target_link_libraries(example_tests GTest::gtest GTest::gmock GTest::gtest_main)
How to use cpp-testing on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add cpp-testing
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches cpp-testing from GitHub repository affaan-m/everything-claude-code and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate cpp-testing. Access the skill through slash commands (e.g., /cpp-testing) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★64 reviews- ★★★★★Ren Khanna· Dec 24, 2024
cpp-testing has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Diego Harris· Dec 24, 2024
Keeps context tight: cpp-testing is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Ganesh Mohane· Dec 16, 2024
Keeps context tight: cpp-testing is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Aarav Rao· Dec 12, 2024
cpp-testing has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Ren Verma· Dec 8, 2024
cpp-testing reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Kabir Srinivasan· Nov 27, 2024
cpp-testing is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Noah Lopez· Nov 15, 2024
cpp-testing fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Mei Desai· Nov 15, 2024
Registry listing for cpp-testing matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Rahul Santra· Nov 7, 2024
Registry listing for cpp-testing matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Camila Mehta· Nov 7, 2024
Useful defaults in cpp-testing — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
showing 1-10 of 64