Agent skill

Memory Forensics Evasion

by wgpsec in wgpsec/AboutSecurity

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

No licenceAuto-check: notesSecurity

Install Memory Forensics Evasion

skills CLI
$ npx skills add wgpsec/AboutSecurity --skill memory-forensics-evasion -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install wgpsec/AboutSecurity memory-forensics-evasion --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/wgpsec/AboutSecurity.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dfir/memory-forensics-evasion .claude/skills/memory-forensics-evasion && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
memory-forensics-evasion
GitHub stars
1.8k
Token cost
~975 tokens
SKILL.md length
150 words
Files
3 (incl. references)
Skills in repo
64
Repo updated
First seen
Licence
None found

At a glance

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

  • Works in 3 steps: 内存获取 → Volatility3 分析决策树 → 关键检测指标
  • Tasks that involve Digital forensics
  • SKILL.md covers ⛔ 深入参考, Part A: 蓝队视角 — 内存取证分析流程, Part B: 红队视角 — 反内存取证 and 对照表:取证技术 vs 红队对策, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Memory Forensics Evasion is an agent skill from wgpsec/AboutSecurity. 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

Its SKILL.md is about 980 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/anti-memory-forensics.md` and `references/volatility3-cheatsheet.md`).

It sits in Security, covering Digital forensics. The repository describes itself as: Everything for pentest. | 渗透测试知识库,以 AI Agent 可执行的格式沉淀安全方法论。

When your agent uses it

  • Tasks that involve Digital forensics

Example prompts

  • “/memory-forensics-evasion”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. 内存获取
  2. Volatility3 分析决策树
  3. 关键检测指标

What it can do on your machine

Read from SKILL.md and the folder at commit db4573f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Memory Forensics Evasion loads about 975 tokens when it runs, and up to ~8.4k if it reads all its reference files. Until then it costs about 33 tokens; SKILL.md has 150 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~33
When it runs · the whole SKILL.md, loaded when a task matches
~975
With references · SKILL.md plus every file in references/, read only if the agent opens them
~8.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteRuns commands with sudoSKILL.md:33
    sudo insmod lime-$(uname -r).ko "path=memory.lime format=lime"

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 150 words (~975 tokens).

name
memory-forensics-evasion
metadata.tags
memory,forensics,volatility,anti-forensics,process-hollow,injection,内存取证,反取证,进程隐藏
metadata.category
dfir
metadata.mitre_attack
T1055,T1070.004,T1014,T1620,T1055.012

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files (references) in skills/dfir/memory-forensics-evasion of wgpsec/AboutSecurity.

  • SKILL.md
  • references/anti-memory-forensics.md
  • references/volatility3-cheatsheet.md

Open the folder on GitHubat commit db4573f

Compare with similar skills

Memory Forensics Evasion next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Memory Forensics Evasion compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Memory Forensics Evasion this skillwgpsec/AboutSecurity1.8k—~975Automated safety check: NotesNone
Ctf Malwareljagiello/ctf-skills3.4k1 repos~2.1kAutomated safety check: NotesMIT
Campaign Attribution Evidence Analysismukul975/Anthropic-Cybersecurity-Skills34k—~2.3kAutomated safety check: PassApache-2.0
Oss ForensicsTommy-yw/RunbookHermes5463 repos~5kAutomated safety check: PassMIT
LNK and Jump List Forensicsmukul975/Anthropic-Cybersecurity-Skills34k—~2.8kAutomated safety check: PassApache-2.0
Malware Persistence Analysis with Autorunsmukul975/Anthropic-Cybersecurity-Skills34k—~1.2kAutomated safety check: PassApache-2.0

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Categories

Questions about Memory Forensics Evasion

What does Memory Forensics Evasion do?

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. Memory Forensics Evasion is an agent skill from wgpsec/AboutSecurity.

When should I use Memory Forensics Evasion?

Memory Forensics Evasion fits situations like: tasks that involve Digital forensics.

How do I install Memory Forensics Evasion in Claude Code?

Run `npx skills add wgpsec/AboutSecurity --skill memory-forensics-evasion -a claude-code`. Or copy the skill folder (skills/dfir/memory-forensics-evasion in wgpsec/AboutSecurity) into .claude/skills/memory-forensics-evasion in your project. Claude Code loads it when a task matches its description.

How do I install Memory Forensics Evasion in Codex?

Run `npx skills add wgpsec/AboutSecurity --skill memory-forensics-evasion -a codex`. Or copy the skill folder (skills/dfir/memory-forensics-evasion in wgpsec/AboutSecurity) into .agents/skills/memory-forensics-evasion in your project. Codex loads it when a task matches its description.

Can I use Memory Forensics Evasion in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wgpsec/AboutSecurity --skill memory-forensics-evasion -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/memory-forensics-evasion, .gemini/skills/memory-forensics-evasion, .github/skills/memory-forensics-evasion and .opencode/skills/memory-forensics-evasion in your project.

What does Memory Forensics Evasion need to run?

SKILL.md names no scripts, command-line tools or credentials: Memory Forensics Evasion is instructions for the agent only.

Does Memory Forensics Evasion access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Memory Forensics Evasion safe to install?

Our automated static check of SKILL.md found notes only (runs commands with sudo), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Memory Forensics Evasion use?

No licence was found for Memory Forensics Evasion or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Memory Forensics Evasion use?

About 975 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 7.5k tokens, read only when the agent opens those files.

What are the alternatives to Memory Forensics Evasion?

Skills that share tags, products or a category with Memory Forensics Evasion: Ctf Malware (ljagiello/ctf-skills, 3.4k stars), Campaign Attribution Evidence Analysis (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Oss Forensics (Tommy-yw/RunbookHermes, 546 stars) and LNK and Jump List Forensics (mukul975/Anthropic-Cybersecurity-Skills, 34k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Memory Forensics Evasion?

wgpsec (a GitHub organization) maintains it in wgpsec/AboutSecurity, which has 1,775 GitHub stars. The repository holds 64 skills in this directory. The repository was last updated on October 3, 2026.

Source: wgpsec/AboutSecurity on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.