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alivirgo/Major-AI-Skills

Curated collection of 425+ production AI skills, system prompt specs, and token optimization blueprints for Claude, ChatGPT, Gemini, and local LLMs.

O que é Major-AI-Skills?

Major-AI-Skills is a Claude Code agent skill that curated collection of 425+ production AI skills, system prompt specs, and token optimization blueprints for Claude, ChatGPT, Gemini, and local LLMs.

Funciona comClaude CodeCodex CLICursorGemini CLI
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Documentação

Exterro FTK (Forensic Toolkit) AI Skill Guide (Claude)

Overview & Engine Architecture

Exterro FTK (Forensic Toolkit) is an enterprise-grade digital forensics platform known for its Distributed Processing Engine (DPE), centralized PostgreSQL database backend, and FTK Imager forensic acquisition suite. FTK processes multi-terabyte evidence sets simultaneously across worker clusters, integrating the Known File Filter (KFF), Cerberus malware triage, and automated OCR. Claude operates as a Senior Forensic Systems Engineer and DFIR Architect, specializing in FTK Imager CLI automation, DPE cluster troubleshooting, volatile memory acquisition (RAM), and case database optimization.

FTK Distributed Processing & Database Architecture

┌─────────────────────────────────────────────────────────────┐
│                 FTK Enterprise Architecture                 │
│                                                             │
│  Central Core & Database Layer                              │
│  ├── PostgreSQL Database Cluster (Case Meta & Artifact DB)  │
│  ├── KFF (Known File Filter - NSRL Hash Set Library)        │
│  └── Cerberus Malware Analysis & Scoring Engine             │
│                                                             │
│  Distributed Processing & Acquisition Layer                 │
│  ├── Distributed Processing Engine (DPE Worker Nodes - 5000)│
│  ├── FTK Imager CLI (`ftkimager.exe` E01/RAW Bitstream Acq)│
│  └── Optical Character Recognition (OCR Engine Subsystem)   │
└─────────────────────────────────────────────────────────────┘

Operational Capabilities & Agent Directives

  1. FTK Imager CLI Automation: Script automated forensic acquisitions of physical disks (\\.\PhysicalDrive0) and volatile physical memory into E01 containers with embedded cryptographic verification (MD5/SHA-1).
  2. Distributed Processing Engine (DPE) Optimization: Configure and troubleshoot DPE worker node communication over TCP port 5000, adjusting thread worker allocations and PostgreSQL connection pools.
  3. KFF & Hash Library Management: Maintain Known File Filter (KFF) hash libraries, importing NIST NSRL databases to automatically eliminate benign operating system binaries from investigator review.
  4. Live RAM & Volatile Triage: Safely acquire live RAM dumps from Windows workstations, diagnosing kernel driver blocking caused by Windows Virtualization-Based Security (VBS/HVCI).

Production PowerShell Automation: Automated FTK Imager Live Acquisition

Save this script as Run-FTKAcquisition.ps1 to automate physical drive imaging and volatile RAM acquisition via FTK Imager CLI:

<#
.SYNOPSIS
    Automated Forensic Live Acquisition using FTK Imager CLI (ftkimager.exe)
.DESCRIPTION
    Dumps volatile physical RAM and acquires PhysicalDrive0 into E01 container with verification.
#>
param (
    [Parameter(Mandatory=$true)]
    [string]$CaseName,

    [Parameter(Mandatory=$true)]
    [string]$DestinationDir
)

$FTK_CLI = "C:\Program Files\AccessData\FTK Imager\ftkimager.exe"

if (-not (Test-Path $FTK_CLI)) {
    Write-Error "FTK Imager CLI not found at '$FTK_CLI'."
    exit 1
}

New-Item -ItemType Directory -Force -Path $DestinationDir | Out-Null
$Timestamp = Get-Date -Format "yyyyMMdd_HHmmss"

# 1. Acquire Volatile Physical Memory (RAM)
$RamOut = Join-Path $DestinationDir "${CaseName}_${Timestamp}_RAM.raw"
Write-Host "[1/2] Acquiring Physical Memory (RAM) to: $RamOut..." -ForegroundColor Cyan
& $FTK_CLI --print-physical-memory $RamOut

# 2. Acquire Physical Drive 0 to E01 Container
$DiskOut = Join-Path $DestinationDir "${CaseName}_${Timestamp}_Disk"
Write-Host "[2/2] Acquiring PhysicalDrive0 to E01 format: $DiskOut.E01..." -ForegroundColor Cyan
& $FTK_CLI "\\.\PhysicalDrive0" $DiskOut `
    --e01 `
    --compress 6 `
    --frag 2048M `
    --case-number "$CaseName" `
    --evidence-number "001" `
    --examiner "DFIR Lead" `
    --description "Automated Live Triage Disk Image" `
    --verify

if ($LASTEXITCODE -eq 0) {
    Write-Host "Forensic acquisition completed and cryptographically verified!" -ForegroundColor Green
} else {
    Write-Error "Acquisition failed with exit code $LASTEXITCODE"
}

Technical Troubleshooting Matrix

Issue & Failure SignatureRoot Cause AnalysisDiagnostic & Resolution Pathway
DPE Worker Node Disconnects / Fails RegistrationWindows Firewall blocked TCP port 5000 or the worker service lost PostgreSQL database credentials.1. In services.msc, verify AccessData Distributed Processing Engine service is Running.2. Open inbound TCP port 5000 and 5432 on FTK server and workers.3. Check DPE.log in %PROGRAMDATA%\AccessData\Logs\.
RAM Acquisition Produces Blank or Incomplete FileWindows 11 Virtualization-Based Security (VBS) or Hypervisor-Protected Code Integrity (HVCI) blocked raw \\Device\PhysicalMemory.1. Check if HVCI is active in Windows Security $\rightarrow$ Core Isolation.2. Use kernel-level acquisition tools (e.g. WinPmem / DumpIt driver) or suspend virtualization security during live triage.3. Execute ftkimager.exe strictly as elevated Administrator.
PostgreSQL Database Case Deadlock on Large IngestDefault PostgreSQL shared_buffers and max_connections parameters too low for high-core DPE clusters.1. In postgresql.conf, increase shared_buffers = 8GB (or 25% of RAM) and work_mem = 64MB.2. Increase max_connections = 300.3. Restart PostgreSQL service.
OCR Processing Freezes Ingestion PipelineCorrupted multi-thousand-page scanned PDF file locking OCR worker process.1. In Processing Profile, set OCR file size limit to $\le 50\text{MB}$.2. Exclude non-document binary formats from OCR queue.3. Set OCR timeout to 60 seconds per item.

Command Line Syntax & Operational Recipes

# 1. Acquire Logical Directory to AD1 Custom Content Container
ftkimager.exe "C:\Users\TargetUser\AppData" "C:\Evidence\User_AppData" --ad1 --verify

# 2. Extract Registry Hives from Live Windows System
ftkimager.exe --extract-protected-files C:\Windows\System32\config\SYSTEM C:\Evidence\SYSTEM

# 3. Mount E01 Image as Virtual Drive via FTK Imager CLI
ftkimager.exe --mount "C:\Evidence\Disk.E01" /drive=Z: /mode=read-only

Essential File Locations

  • FTK Configuration: C:\Program Files\Exterro\FTK\FTK.cfg
  • DPE Worker Logs: %PROGRAMDATA%\AccessData\Logs\DPE
  • PostgreSQL Data Directory: C:\Program Files\PostgreSQL\<VER>\data

Agent Operational Directive

MANDATORY: When executing FTK Imager CLI acquisitions, always include the --verify flag to compute and log acquisition vs verification checksums (MD5/SHA-1). Tune PostgreSQL shared_buffers before running high-throughput DPE ingest clusters.

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