forensics-checklist

Guide digital forensic evidence collection with chain-of-custody and hash integrity.

44|128|Updated Mar 6, 2026
One-click install
npx skills add https://github.com/UnitOneAI/SecuritySkills --skill forensics-checklist-unitoneai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: forensics-checklist
Source: https://github.com/UnitOneAI/SecuritySkills/tree/main/skills/incident-response/forensics-checklist
Command: npx skills add https://github.com/UnitOneAI/SecuritySkills --skill forensics-checklist-unitoneai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It prevents evidence loss, contamination, and chain-of-custody gaps by guiding a disciplined digital forensics collection workflow using established standards.

Core Features & Use Cases

  • Volatility-ordered evidence acquisition: Ensures volatile artifacts (memory and runtime state) are captured before actions that would destroy them.
  • Chain of custody and integrity verification: Produces documentation plus SHA-256 hash workflows to maintain evidentiary provenance.
  • Disk imaging and log preservation guidance: Covers bitstream imaging principles and time-bounded log export for investigation continuity.
  • Cloud forensics considerations: Adapts collection approach for snapshots, audit logs, and retention constraints in AWS/Azure/GCP.

Quick Start

Use the forensics-checklist skill with the argument placeholder provided in the skill to generate an evidence collection plan for your incident target and required acquisition steps.

Frequently Asked Questions about forensics-checklist

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I collect digital forensic evidence while maintaining chain of custody during incident response?

Digital forensic evidence collection requires a disciplined workflow following NIST SP 800-86 and RFC 3227 volatility order to preserve chain of custody. You must capture volatile artifacts first, generate SHA-256 integrity hashes, and maintain documentation proving evidentiary provenance.

What is the correct volatility order for memory acquisition and disk imaging in digital forensics?

The correct volatility order prioritizes memory acquisition and runtime state capture before disk imaging to prevent data destruction. Following RFC 3227 guidelines, you capture volatile artifacts first, then proceed to bitstream imaging and time-bounded log export for investigation continuity.

Does this digital forensics workflow support cloud evidence collection across AWS, Azure, and GCP?

Cloud forensics collection adapts evidence gathering for AWS, Azure, and GCP environments. It handles cloud-specific constraints by guiding snapshot capture, audit log preservation, and retention limit management to maintain evidence integrity across different cloud platforms.

How do I verify evidence integrity using SHA-256 hashing during a forensic investigation?

Evidence integrity verification uses SHA-256 hash workflows to prove digital artifacts remain unaltered during acquisition. You compute cryptographic hashes immediately after capture and document them in chain-of-custody records to establish evidentiary provenance for admissible proof.

What is the best way to document chain of custody for SOC triage progressing to full evidence acquisition?

Chain of custody documentation requires tracking evidence handling from SOC triage through full acquisition using an evidence report output schema. You record every transfer, generate integrity hashes, and maintain auditable provenance records following NIST SP 800-86 standards.

When do I need to follow NIST SP 800-86 and RFC 3227 standards for incident response evidence collection?

NIST SP 800-86 and RFC 3227 standards apply whenever incident response escalates to digital forensics requiring admissible proof of compromise. You need these guidelines for SOC triage, volatile-data capture, disk imaging, and cloud evidence collection to prevent evidence loss or contamination.