unicorn-trace

unicorn-trace is a Penetration testing & red team skill for AI agents, published by GitKittys in the AndroidPrybar repository on GitHub. Skillspace rates unicorn-trace C (70/100) and it passed the safety scan; the rating is based on static analysis only.

unicornTrace(libtrace.so / ARM64Emulator.h)官方完整用法 —— 把 native 函数放进 unicorn VM 跑，抓逐指令 trace、挂 CODE/MEM/SVC/外部跳转 hook、读写寄存器、单步/断点、CPU 快照、反汇编、内存监控、伪造检测结果。逆向 ARM64 native 算法/调试/绕检测时用。完整 API 与实战代码在本 skill 的 GUIDE.md。

Grade
C
Quality
70 / 100
Safety
Passed
GitHub stars
101

Unproven: rated by static analysis only, not yet compared head-to-head.

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it looks written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubGitKittys/AndroidPrybar

Our review

Architecture
92 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Better-rated skills in Penetration testing & red team

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.