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Misc48k · #2844

digital-forensics

Lets the agent investigate digital evidence in an authorized way. It's useful for collecting computer data in investigations. It helps uncover what happened in security incidents.

What it does

This tool helps investigate computers and networks for digital clues, acting like a digital detective. It analyzes memory, disk, and network traffic data to reconstruct what happened.

When to use it

  • ✓When you suspect something wrong happened on a computer.
  • ✓To build a detailed timeline of activities on a system.
  • ✓To analyze network files and identify suspicious activity.

Example of what to ask your AI

“Analyze the memory of this computer for suspicious activities.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/digital-forensics/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/digital-forensics/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

The tool examines raw data from memory, disks, and network packets. It uses other specialized tools to extract information like which programs were run, when, and what connections were made.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add sickn33/agentic-awesome-skills --skill digital-forensics

Or download just the file:

curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/digital-forensics/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Digital Forensics & IR Artifacts

When to Use

  • Investigating a suspected incident with forensic rigor.
  • Building defensible timelines from disk/memory/network artifacts.

适用场景

  • 内存转储分析(Volatility 2/3)
  • 磁盘/ E01 / 落地文件时间线
  • PCAP 溯源与协议还原(可联合 protocol-reverse/)
  • 主机伪影:Prefetch、Shimcache、Event Log、浏览器历史
  • 应急响应 IOC 提炼(联合 malware-analysis/ / threat-hunting/)

工作流

1. 保全

□ 计算 SHA256;记录时区与采集命令
□ 工作在副本上;原始只读
□ chain of custody 备注写入 timeline

2. 内存

vol -f mem.dmp windows.info
vol -f mem.dmp windows.pslist
vol -f mem.dmp windows.netscan
vol -f mem.dmp windows.cmdline

3. 主机伪影

□ 事件日志:Security / PowerShell / Sysmon
□ 持久化:Run 键、服务、计划任务、WMI
□ 执行痕迹:Amcache、Prefetch、BAM

4. 网络

□ tshark 统计会话与 DNS
□ 导出可疑流 → protocol-reverse 或 malware C2 分析

工具链

工具 用途
Volatility 3 内存
Timeline Explorer / Plaso 超级时间线
tshark PCAP
Eric Zimmerman 工具集 Windows 伪影
Autopsy / FTK Imager 磁盘

参考

  • references/forensics-triage.md
  • ../malware-analysis/ ../threat-hunting/ ../protocol-reverse/

路由上下文

上游: MASTER R25
下游: 恶意样本深挖 → malware-analysis;规则 → threat-hunting

任务完成自检

  • 是否保全哈希与副本策略?
  • 时间线是否可复核?
  • IOC 是否脱敏分级?
  • Checklist?

Limitations

  • Chain-of-custody requirements apply; work on verified copies, never originals.
  • Encrypted or anti-forensic artifacts may be unrecoverable.

Adapted from zhaoxuya520/reverse-skill (MIT).

FAQ

What is 'chain of custody'?

It's the record of who handled digital evidence and when, to ensure it hasn't been altered.

Can I use this on any file?

It works best with exact copies of disks, memory, or network files. Encrypted files can be a problem.

What types of artifacts does it analyze?

It analyzes event logs, browser history, program files, and network information, among others.

Details

Original description by the author

Authorized digital forensics: memory dumps, disk timelines, PCAP investigation, artifact triage, and incident-response evidence preservation.

repo: sickn33/agentic-awesome-skills

Popularity

GitHub stars
48k
Ranking position
#2844
License
MIT
Updated
10/15/2026

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