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Agent Skill · 研究检索

performing-disk-forensics-investigation(执行磁盘取证调查)

performing-disk-forensics-investigation 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

performing-disk-forensics-investigation 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 71,089。

总安装 196周安装 8GitHub Stars 5,919下载 63核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:performing-disk-forensics-investigation(执行磁盘取证调查)
来源仓库:https://github.com/mukul975/anthropic-cybersecurity-skills
仓库路径:skills/performing-disk-forensics-investigation
安装命令:
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill performing-disk-forensics-investigation
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill performing-disk-forensics-investigation

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息,支持磁盘取证调查任务。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。可结合来源仓库 README 继续核验具体用法,建议确认维护状态。安装前需注意是否会触发联网、命令执行或文件读写操作。

performing-disk-forensics-investigation 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/performing-disk-forensics-investigation

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skil…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

performing-disk-forensics-investigation 怎么安装?

在终端执行 npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill performi…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

performing-disk-forensics-investigation 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

performing-disk-forensics-investigation 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

performing-disk-forensics-investigation 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

performing-disk-forensics-investigation 用的人多吗?

公开数据是累计安装 196 次,近一周安装 8 次,下载 63 次,GitHub 5,919 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

performing-disk-forensics-investigation 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 来源仓库有 5,919 星,维护活跃度相对可查。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
performing-disk-forensics-investigation

执行磁盘取证调查 · 本页

1965,919操作浏览器未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Performing Disk Forensics Investigation

When to Use

  • A security incident requires forensic analysis of a system's persistent storage
  • Evidence preservation is needed for potential legal proceedings or HR investigations
  • Deleted files, browser history, or application artifacts must be recovered
  • A timeline of user or adversary activity must be reconstructed from file system metadata
  • Malware persistence mechanisms stored on disk need identification and documentation

Do not use for volatile evidence (running processes, network connections); use memory forensics with Volatility instead.

Prerequisites

  • Forensic workstation with write-blocking hardware or software (Tableau T35u, Arsenal Image Mounter)
  • Forensic imaging software: FTK Imager, Guymager, or dd with dcfldd
  • Analysis platform: Autopsy, FTK (Forensic Toolkit), or X-Ways Forensics
  • Sufficient storage (2-3x the target drive size for image plus working copies)
  • Chain of custody forms and evidence bags for physical media
  • Hash verification tools for evidence integrity (SHA-256)

Workflow

Step 1: Secure and Document the Evidence

Before touching any storage media, establish chain of custody:

  • Photograph the system, noting serial numbers, labels, and cable connections
  • Document the evidence source: device type, make, model, serial number, capacity
  • Complete chain of custody form with date, time, handler name, and reason for acquisition
  • Use a hardware write blocker when connecting the evidence drive to the forensic workstation
Chain of Custody Record:
━━━━━━━━━━━━━━━━━━━━━━━
Case ID:          INC-2025-1547
Evidence ID:      EVD-001
Description:      Samsung 870 EVO 500GB SSD
Serial Number:    S5XXNJ0R912345
Source Host:      WKSTN-042
Acquired By:      [Analyst Name]
Date/Time:        2025-11-15T16:30:00Z
Write Blocker:    Tableau T35u (S/N: T35U-12345)

Step 2: Create a Forensic Image

Produce a bit-for-bit copy of the evidence drive:

Using FTK Imager (Windows):

  1. Connect evidence drive through write blocker
  2. File > Create Disk Image > Select source drive
  3. Choose E01 (Expert Witness Format) for compression and metadata
  4. Set destination path and evidence item information
  5. Enable "Verify images after they are created"
  6. Record source and image hash values

Using dcfldd (Linux):

# Create raw image with hash verification
dcfldd if=/dev/sdb of=/evidence/WKSTN-042.dd \
  hash=sha256 hashlog=/evidence/WKSTN-042.sha256 \
  bs=4096 conv=noerror,sync

# Verify image integrity
sha256sum /evidence/WKSTN-042.dd
Imaging Summary:
Source Drive:    /dev/sdb (Samsung 870 EVO 500GB)
Image File:     WKSTN-042.E01
Image Format:   E01 (Expert Witness)
Source Hash:     SHA-256: a1b2c3d4e5f6...
Image Hash:      SHA-256: a1b2c3d4e5f6...  (MATCH)
Sectors Read:    976,773,168
Errors:          0
Duration:        47 minutes

Step 3: Analyze File System Structure

Open the forensic image in Autopsy or FTK and examine the file system:

  • Identify partition layout (MBR/GPT, NTFS/ext4/APFS partitions)
  • Examine the Master File Table (MFT) for NTFS or inode tables for ext4
  • Identify deleted files and directories (marked as unallocated but not yet overwritten)
  • Recover files from unallocated space using file carving
  • Examine alternate data streams (NTFS ADS) for hidden data

Key Windows Artifacts to Examine:

User Activity:
- NTUSER.DAT (registry hive per user)
- UsrClass.dat (shellbags, file access history)
- Recent files: %AppData%\Microsoft\Windows\Recent\
- Jump lists: %AppData%\Microsoft\Windows\Recent\AutomaticDestinations\

Program Execution:
- Prefetch: C:\Windows\Prefetch\*.pf
- Amcache: C:\Windows\appcompat\Programs\Amcache.hve
- SRUM: C:\Windows\System32\SRU\SRUDB.dat
- ShimCache: SYSTEM registry hive

Persistence:
- Scheduled Tasks: C:\Windows\System32\Tasks\
- Startup folders: %AppData%\Microsoft\Windows\Start Menu\Programs\Startup\
- Services: SYSTEM registry hive

Network:
- WLAN profiles: C:\ProgramData\Microsoft\Wlansvc\Profiles\
- Browser history: Chrome, Firefox, Edge profile directories

Step 4: Reconstruct the Timeline

Build a comprehensive timeline of file system activity:

Using Autopsy Timeline Module:

  1. Generate timeline from all available sources (MFT, event logs, browser history, prefetch)
  2. Filter to the investigation timeframe
  3. Identify clusters of activity correlating with the incident
  4. Document the sequence of attacker actions based on file creation, modification, and access timestamps

Using The Sleuth Kit (command line):

# Generate body file from NTFS image
fls -r -m / WKSTN-042.dd > bodyfile.txt

# Create timeline from body file
mactime -b bodyfile.txt -d > timeline.csv

# Filter timeline to investigation period
grep "2025-11-15" timeline.csv | sort > incident_timeline.csv

Step 5: Recover and Analyze Artifacts

Extract and analyze specific forensic artifacts:

  • Prefetch files: Parse with PECmd to determine program execution times and loaded DLLs
  • Event logs: Parse with EvtxECmd for Windows XML Event Logs
  • Registry: Parse with RegRipper or Registry Explorer for user activity and system configuration
  • Browser artifacts: Parse with Hindsight (Chrome), KAPE, or DB Browser for SQLite databases
  • USB device history: Extract from SYSTEM\CurrentControlSet\Enum\USBSTOR registry key
  • $MFT analysis: Parse with MFTECmd for detailed file metadata including $SI and $FN timestamps

Step 6: Document Findings

Compile a forensic analysis report suitable for legal proceedings:

  • Maintain evidence integrity documentation (hash chain)
  • Document every tool used and its version
  • Record all analysis steps in a reproducible manner
  • Present findings factually without conjecture
  • Clearly distinguish between facts (observed data) and interpretations (analyst conclusions)

Key Concepts

TermDefinition
Forensic ImageBit-for-bit copy of storage media that preserves all data including deleted files and unallocated space
Write BlockerHardware or software device that prevents any modification to evidence media during acquisition
E01 FormatExpert Witness Format used by EnCase and FTK; supports compression, metadata, and built-in hash verification
File CarvingRecovery technique that searches unallocated disk space for file headers and footers to reconstruct deleted files
MFT (Master File Table)NTFS metadata structure containing entries for every file and directory, including deleted entries
MAC TimestampsModified, Accessed, Created timestamps on files used for timeline reconstruction (NTFS also has Entry Modified)
PrefetchWindows artifact recording program execution metadata; contains execution count, timestamps, and loaded DLLs
Unallocated SpaceDisk sectors not assigned to any file; may contain remnants of deleted files recoverable through carving

Tools & Systems

  • FTK Imager: Free forensic imaging tool supporting E01, AFF, and raw formats with built-in hash verification
  • Autopsy: Open-source digital forensics platform built on The Sleuth Kit for comprehensive disk analysis
  • KAPE (Kroll Artifact Parser and Extractor): Triage collection and parsing tool for rapid artifact extraction
  • X-Ways Forensics: Commercial forensic analysis tool known for speed and efficiency on large datasets
  • Eric Zimmerman's Tools: Suite of free forensic parsers (PECmd, MFTECmd, EvtxECmd, RegRipper) for Windows artifacts

Common Scenarios

Scenario: Employee Data Theft Investigation

Context: An employee submitted a resignation and is suspected of copying proprietary files to a USB drive before departing. HR requests a forensic investigation of the employee's workstation.

Approach:

  1. Image the workstation disk using FTK Imager with a write blocker
  2. Parse USB device history from SYSTEM registry to identify connected devices
  3. Examine ShellBags and Jump Lists for evidence of file browsing and copying to removable media
  4. Parse LNK files in the Recent folder to identify recently accessed documents
  5. Analyze browser history for personal cloud storage uploads (Google Drive, Dropbox)
  6. Build a timeline correlating USB connections with file access events

Pitfalls:

  • Failing to image the drive before the IT department reassigns the workstation
  • Not checking cloud storage browser history alongside USB evidence
  • Overlooking Volume Shadow Copies that may contain earlier versions of deleted files
  • Presenting analysis conclusions as fact without supporting evidence documentation

Output Format

DISK FORENSICS INVESTIGATION REPORT
=====================================
Case ID:          INC-2025-1547
Evidence:         EVD-001 (Samsung 870 EVO 500GB SSD)
Examiner:         [Name]
Date of Analysis: 2025-11-16

EVIDENCE INTEGRITY
Source Hash:      SHA-256: a1b2c3d4e5f6...
Image Hash:       SHA-256: a1b2c3d4e5f6... (VERIFIED MATCH)
Write Blocker:    Tableau T35u

PARTITION LAYOUT
Partition 1:  NTFS  100 MB   (System Reserved)
Partition 2:  NTFS  465 GB   (C: - OS and Data)
Partition 3:  NTFS  500 MB   (Recovery)

KEY FINDINGS
1. [Timestamp] - Malware dropper created in %TEMP% (update.exe)
2. [Timestamp] - Scheduled task "WindowsUpdate" created for persistence
3. [Timestamp] - Prefetch shows 14 executions of update.exe
4. [Timestamp] - USB device "Kingston DataTraveler" connected
5. [Timestamp] - 847 files copied to E:\ drive (ShellBag evidence)

RECOVERED ARTIFACTS
- 3 deleted malware samples recovered from unallocated space
- Browser history showing C2 panel access
- Registry evidence of disabled security software

TIMELINE
[Chronological event listing with timestamps and evidence sources]

TOOLS USED
- FTK Imager 4.7.1 (imaging)
- Autopsy 4.21.0 (analysis)
- PECmd 1.5.0 (prefetch parsing)
- MFTECmd 1.2.2 (MFT analysis)

平台分布

Codex

35.2%
按下载量换算22

Claude

29.69%
按下载量换算19

Cursor

19.25%
按下载量换算12

Gemini CLI

10.37%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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