bolt-cpp-ml-cpp-e2e-test-gen

Generate end-to-end unit tests for C++ codebases using Python and CMake.

Updated Nov 23, 2025
One-click install
npx skills add https://github.com/cogpy/bolt-cppml --skill bolt-cpp-ml-cpp-e2e-test-gen
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bolt-cpp-ml-cpp-e2e-test-gen
Source: https://github.com/cogpy/bolt-cppml/tree/main/.github/skills/bolt-cpp-ml-squared/references/bolt-cpp-ml/references/cpp-e2e-test-gen
Command: npx skills add https://github.com/cogpy/bolt-cppml --skill bolt-cpp-ml-cpp-e2e-test-gen

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of generating complete end-to-end unit tests for C++ repositories, making it easier to ensure code reliability and coverage.

Core Features & Use Cases

  • Automated Test Generation: Catalogs functions across headers and writes comprehensive tests for each public API.
  • Compilation Fixes: Detects and resolves signature mismatches and compile errors iteratively.
  • Stabilization & Reporting: Runs tests repeatedly to identify intermittent failures, then generates detailed reports and commits the results. Ideal for improving code quality in large C++ projects.

Quick Start

Use the bolt-cpp-ml-cpp-e2e-test-gen skill to analyze a C++ repository, generate all necessary tests, fix compilation issues, and produce a report ready for review.

Frequently Asked Questions about bolt-cpp-ml-cpp-e2e-test-gen

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate end-to-end unit tests for a C++ repository?

To generate C++ unit tests, this Skill catalogs functions across headers, writes comprehensive tests for public APIs, and iteratively fixes compilation errors using Python scripts and CMake tooling.

Can I automatically fix compilation errors in C++ test generation?

Yes, the C++ test generation process detects and resolves signature mismatches and compile errors iteratively, stabilizing the generated tests against the existing codebase structure.

What is the best way to improve unit test coverage in large C++ projects?

Automated end-to-end test generation improves coverage by cataloging public APIs, writing detailed tests, and running them repeatedly to identify intermittent failures before reporting.

Do I need CMake and Python to automate C++ test creation?

Yes, you need Python scripts and CMake tooling to process headers and generate tests effectively across C++ repositories with complex header and implementation structures.

How does automated C++ test generation handle intermittent test failures?

The test stabilization process runs tests repeatedly to identify intermittent failures, then generates detailed reports and commits the final verified test results for review.