memory-forensics-evasion
memory-forensics-evasion is a Memory stores & recall skill for AI agents, published by wgpsec in the AboutSecurity repository on GitHub. Skillspace rates memory-forensics-evasion D (69/100) and it passed the safety scan; the rating is based on static analysis only.
内存取证与反内存取证方法论。从蓝队视角理解内存取证如何发现恶意行为（Volatility3 分析流程），从红队视角掌握如何规避内存检测（进程隐藏、内存加密、痕迹清除）。当需要分析内存 dump 或设计反取证策略时使用
- Grade
- D
- Quality
- 69 / 100
- Safety
- Passed
- GitHub stars
- 1,734
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 91 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill 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
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