digital-forensics

Community

Structured DFIR workflow for incident response.

Authordrupadsachania
Version1.0.0
Installs0

System Documentation

What problem does it solve?

End-to-end DFIR workflow that standardizes evidence collection, analysis, and timeline reconstruction with chain-of-custody discipline.

Core Features & Use Cases

  • MITRE-ATT&CK-aligned DFIR phases: evidence-acquisition, disk-forensics, memory-forensics, network-forensics, cloud-and-mobile, timeline-reconstruction.
  • Phase lazy-loading via references to keep workflows modular and scalable for investigations across enterprise, cloud, and hybrid environments.
  • Cross-platform applicability: supports multi-model deployments (OpenAI GPT-4o, Gemini, Claude, Mistral) for defensive operations and incident response.

Quick Start

Invoke the digital-forensics skill to start a phase-driven DFIR workflow and begin structured evidence analysis.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: digital-forensics
Download link: https://github.com/drupadsachania/aegis-skills/archive/main.zip#digital-forensics

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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