用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/AeonDave/malskill --skill honggfuzz命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
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基于 SOC 职业分类
| name | honggfuzz |
| description | Auth/lab ref: Feedback-driven, high-speed fuzzer with multi-process/thread execution and persistent fuzzing. |
| license | Apache-2.0 |
| compatibility | Linux, macOS, Android, BSD, Windows via Cygwin. |
| metadata | {"author":"GitHub Copilot","version":"1.1"} |
General-purpose evolutionary fuzzer with software/hardware coverage options and strong persistent-mode performance.
# Compile with wrappers
./hfuzz_cc/hfuzz-clang -o target target.c
# Run with file placeholder
./honggfuzz -i seeds -- ./target ___FILE___
# Persistent mode
./honggfuzz -P -i seeds -- ./target
___FILE___ or -s stdin mode).-P) as soon as target design allows.-M) periodically.| Flag | Description |
|---|---|
-i <dir> | Input corpus directory |
--output <dir> | Output directory for dynamic/minimized corpus |
-P | Persistent mode |
-n <threads> | Number of fuzzing threads |
-M | Corpus minimization mode |
-x | Disable instrumentation feedback (static mode) |
-s | Feed input via stdin |
--sanitizers | Enable sanitizer-aware handling (build-dependent) |
-dict for highly structured input grammars.-t) and mutation count per run (-r) before scaling threads.--rlimit_*) to prevent campaign collapse.-x) baseline vs coverage-driven modes to validate benefit.