aflpp
SolidUse when the user needs to set up and run an AFL++ fuzzing campaign for a C/C++ target. Compiles with LTO, LLVM, or GCC instrumentation, runs single or multi-core campaigns, triages crashes, and minimizes the corpus. Requests explicit approval before system-level changes. Not for libFuzzer harness campaigns — use libfuzzer.
Install
Quality Score: 83/100
Skill Content
Details
- Author
- OutlineDriven
- Repository
- OutlineDriven/outline-driven-development
- Created
- 9 months ago
- Last Updated
- 5 days ago
- Language
- Python
- License
- Apache-2.0
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
offensive-fuzzing
Practical offensive fuzzing methodology covering target identification, fuzzer selection (AFL++, libFuzzer, Honggfuzz, Boofuzz, syzkaller), harness writing, corpus curation, mutation strategies, coverage measurement, and crash triage. Use when setting up or running fuzz campaigns against any target: file parsers, network protocols, kernel drivers, EDR engines, embedded firmware, or language runtimes.
offensive-fuzzing
Practical offensive fuzzing methodology covering target identification, fuzzer selection (AFL++, libFuzzer, Honggfuzz, Boofuzz, syzkaller), harness writing, corpus curation, mutation strategies, coverage measurement, and crash triage. Use when setting up or running fuzz campaigns against any target: file parsers, network protocols, kernel drivers, EDR engines, embedded firmware, or language runtimes.
atheris
Use when a user needs coverage-guided fuzzing for Python code or a Python native extension using Atheris. Not for remote, credential, publish, deploy, or irreversible changes.