digital-forensics

digital-forensics is a skill for Claude Code, Codex from zhaoxuya520/reverse-skill. It costs 30 tokens per session (669 once invoked), scanned A, original, MIT.

A guide for authorized digital forensics and incident response, which means examining digital evidence after a suspected security incident. It covers memory dumps, disk activity, network captures, and traces left by programs on a computer.

In plain words
What is it for?
It helps analyze memory, disk timelines, network traffic, Windows logs, browser history, startup mechanisms, and other computer artifacts.
Why use it?
It provides a careful process for preserving evidence and tracing what happened without altering the original data. It helps separate evidence collection from later investigation.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps analyze memory, disk timelines, network traffic, Windows logs, browser history, startup mechanisms, and other computer artifacts.

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Install with agentmods
npx agentmods add skills/zhaoxuya520/reverse-skill/digital-forensics
About the project

Reverse Skill is a routing package for AI coding agents that selects appropriate reverse-engineering, penetration-testing, and security-research methods and tools for a given target. It is used for tasks involving APKs, binaries, frontend JavaScript, packet captures, CTF challenges, and authorized penetration testing. Its catalogue add-ons provide the skills and instructions that guide these workflows.

zhaoxuya520/reverse-skill · 35,027 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add zhaoxuya520/reverse-skill --skill digital-forensics
Clone the repo
git clone --depth 1 https://github.com/zhaoxuya520/reverse-skill

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for digital-forensics

README.md
[![agentmods](https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/digital-forensics/github.svg)](https://agentmods.dev/skills/zhaoxuya520/reverse-skill/digital-forensics)
Your own site
<a href="https://agentmods.dev/skills/zhaoxuya520/reverse-skill/digital-forensics"><img src="https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/digital-forensics/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for digital-forensics

Your own site · 80×15
<a href="https://agentmods.dev/skills/zhaoxuya520/reverse-skill/digital-forensics"><img src="https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/digital-forensics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 669 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 18 Jul 2026
  • Snyk pass 18 Jul 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00030 $0.00669
Opus 5 $0.00015 $0.00334
Sonnet 5 $0.00006 $0.00134
Haiku 4.5 $0.00003 $0.00067

Measured 9d ago against content hash e07f637660fc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

digital-forensics scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

skills/digital-forensics/SKILL.md · 83 lines

What it actually says

Digital Forensics & IR Artifacts

ACTION REQUIRED(读完后立刻执行)

  1. NOW: 读取 ../field-journal/precedent-pentest.md 或组织 IR 授权说明
  2. NOW: 确认是取证/溯源而非进攻性扫描
  3. NOW: 建立 case;证据只读副本优先(原始介质写保护)
  4. NEXT: tool-index;Volatility 等常手动
  5. ACT: 保全哈希 → 时间线 → 关键伪影

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?
Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 83 lines · 30 tokens per session scan A e07f637660fc

Subscribe to this mod's changes

digital-forensics is a skill published in the GitHub repository zhaoxuya520/reverse-skill (35,027 stars, last pushed 5d ago), licensed MIT. It adds 30 tokens to every session and 669 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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