Review C/C++ code for memory safety, integer overflows, and race conditions.
npx skills add https://github.com/trailofbits/skills --skill c-review-trailofbits
Please help me install this Agent Skill. Skill: c-review Source: https://github.com/trailofbits/skills/tree/main/plugins/c-review/skills/c-review Command: npx skills add https://github.com/trailofbits/skills --skill c-review-trailofbits
This Skill streamlines the process of identifying and addressing security vulnerabilities in C/C++ applications, providing an efficient way to ensure code safety and compliance.
Invoke the c-review skill with the /c-review:c-review command.
High-intent search queries and answers about installing and using this skill.
A C/C++ security review scans native applications to identify memory corruption, integer overflows, use-after-free, and race conditions. It uses automated worker agents to analyze complex codebases across POSIX and Windows platforms, replacing manual inspection.
C++ code auditing detects memory corruption, integer overflows, race conditions, and platform-specific vulnerabilities in userspace daemons and services. It targets native applications to ensure code safety and compliance across POSIX and Windows environments.
Yes, C/C++ vulnerability scanning requires a Python environment with access to grep, find, rg, sed, awk, sort, uniq, and md5. These command line tools process the codebase and support the worker agents during the security audit.
Yes, security auditing supports both POSIX and Windows platforms for native C/C++ applications. It reviews daemons, services, and userspace code for memory safety and platform-specific vulnerabilities across different operating environments.
Scanning a complex C/C++ codebase for use-after-free vulnerabilities is best handled by a cluster of automated worker agents. This approach uncovers potential security flaws related to memory safety and integer overflows in seconds, saving time on manual inspection.
Automated C++ security scanning should not replace manual inspection for complex logic flaws requiring deep contextual understanding. It is designed for detecting memory safety, integer overflows, and race conditions, but may not catch all application-specific business logic vulnerabilities.
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