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.
npx agentmods add skills/asaiuta/reverse-workbench-skill/digital-forensicsnpx skills add Asaiuta/reverse-workbench-skill --skill digital-forensicsgit clone --depth 1 https://github.com/Asaiuta/reverse-workbench-skillWrote 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.
[](https://agentmods.dev/skills/asaiuta/reverse-workbench-skill/digital-forensics)<a href="https://agentmods.dev/skills/asaiuta/reverse-workbench-skill/digital-forensics"><img src="https://agentmods.dev/badge/skills/asaiuta/reverse-workbench-skill/digital-forensics.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00030 | $0.00669 |
| Opus 5 | $0.00015 | $0.00334 |
| Sonnet 5 | $0.00006 | $0.00134 |
| Haiku 4.5 | $0.00003 | $0.00067 |
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 4d 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.
This is a copy
100% identical to digital-forensics — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Digital Forensics & IR Artifacts
ACTION REQUIRED（读完后立刻执行）
NOW: 读取../field-journal/precedent-pentest.md或组织 IR 授权说明NOW: 确认是取证/溯源而非进攻性扫描NOW: 建立 case；证据只读副本优先（原始介质写保护）NEXT: tool-index；Volatility 等常手动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？
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.
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.
- 4d ago First seen · 83 lines · 30 tokens per session scan A e07f637660fc
digital-forensics is a skill published in the GitHub repository Asaiuta/reverse-workbench-skill (2 stars, last pushed 20d 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. It is 100% identical to digital-forensics, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
opencrow-forensics-toolbox
Use the OpenCROW forensics stack for memory dumps, metadata extraction, and carved-file workflows. Use when an agent needs volatility3, exiftool, foremost, or when a full install tracks manual Autopsy setup.
analyzing-memory-forensics-with-lime-and-volatility
Performs Linux memory acquisition using LiME (Linux Memory Extractor) kernel module and analysis with Volatility 3 framework. Extracts process lists, network connections, bash history, loaded kernel modules, and injected code from Linux memory images. Use when performing incident response on compromised Linux systems.
aatmf-t04-memory-manipulation
AATMF T4 — Multi-Turn & Memory Manipulation. Persistent memory injection, conversation-state poisoning, cross-session contamination, ghost-context leak.
osint-recon
OSINT 开源情报收集知识库 — 四维信息收集模型（服务器→网站→域名→人员），维度四（人员信息）条件触发.
redteam-cve-lookup
CVE lookup and applicability assessment domain card. Use after reconnaissance has identified products, versions, services, or fingerprints and red-team mode needs evidence-based CVE matching before deeper testing.
secknowledge-skill
Web+AI 安全测试知识库。融合 WooYun 88,636 案例 + 先知 L1-L4 方法论 + GAARM 150 风险 OWASP Top 10 (LLM/ASI/WSTG)。 TRIGGER when 任务是实战安全测试：渗透测试、漏洞挖掘/利用、红队攻防、安全审计 (SAST/DAST)、 CTF、AI/LLM 安全测试 (Prompt 注入/越狱/MCP/Agent/沙箱逃逸)。用户明确给出测试目标 (URL/代码/模型/Agent 架构) 且意图是"测试/审计/挖漏洞/利用"。 DO NOT trigger: 安全概念讨论（"什么是 XSS"、"SQL 注入原理是什么"）→ 普通问答 非安全性质的 code…