coverage-analysis

This skill enables fuzzing with libFuzzer to automatically discover vulnerabilities in code through automated test generation. It's particularly useful for security testing and identifying edge cases that could lead to crashes or security issues. Developers should use it when conducting security audits or robustness testing of C/C++ codebases.

This skill enables Rust fuzzing using cargo-fuzz and libFuzzer for security testing and bug discovery. It's designed for developers writing Rust code who need to identify memory safety issues and other vulnerabilities through automated input generation. Use this skill when you need to integrate fuzzing into your Rust development workflow for enhanced code security.

This skill provides Google's Wycheproof test vectors for rigorously testing cryptographic implementations against known vulnerabilities. It's designed for developers who need to validate the security of their crypto code by running comprehensive test suites. Use this skill when implementing or auditing cryptographic algorithms to ensure robustness against edge cases and attacks.

This skill enables Python fuzzing with Atheris to automatically discover vulnerabilities like crashes and memory errors in your code. It's ideal for developers building security testing into their workflow to uncover bugs through automated input generation. Use it when you need to harden Python applications against unexpected or malicious inputs.