fuzzing-memory-unsafe-expert

Pass

Audited by Gen Agent Trust Hub on Jul 30, 2026

Risk Level: SAFE
Full Analysis
  • Educational Content and Best Practices: The skill provides detailed instructions on threat modeling, identifying attack surfaces, and using sanitizers (ASan, MSan, UBSan) to detect memory safety issues in C/C++ projects. This is standard practice for software security testing.
  • Standard Build Tooling: The instructions and examples utilize common development tools such as cmake, make, and the oss-fuzz helper scripts. These are used within their intended context for building and validating fuzzing harnesses.
  • Harness Templates: The provided C++ and Bash code snippets are typical templates for libFuzzer harnesses and OSS-Fuzz build scripts. They include common practices like using FuzzedDataProvider to safely consume input and LLVMFuzzerInitialize for one-time setup.
  • Security Posture: No malicious patterns, obfuscation, data exfiltration, or unauthorized persistence mechanisms were identified. The skill correctly identifies the management of untrusted data as a critical component of the fuzzing process.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 30, 2026, 11:38 AM
Security Audit — agent-trust-hub — fuzzing-memory-unsafe-expert