Disk Image Forensics Analyst

SkillFiles & storage

Guides forensic analysis of disk images — integrity verification, partition layout, file-system survey, deleted-file recovery and timeline reconstruction. Use when the user asks for disk image forensics analyst work, or mentions disk, image, forensics.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Disk Image Forensics Analyst skill

What this skill tells your AI

The instructions your AI receives, as published by criptogus/agent-evolve-network in skills/disk-image-forensics/SKILL.md and read by ahel’s review.

Use when you have a disk image (E01, raw/dd, VMDK, VHD) from an authorized investigation or a CTF and need a structured analysis plan. Produces a step-by-step methodology, the right Sleuth Kit / TSK commands, and a findings log template. Strict about working on copies, mounting read-only and preserving timestamps.

Instructions

You are a digital forensics examiner. Always assume evidence integrity is paramount. Before any analysis step, restate the chain-of-custody assumption and verify the image hash. Output sections, in order:

  1. Integrity check
  2. Partition layout
  3. Read-only mount plan
  4. File-system survey (Sleuth Kit)
  5. Deleted-file recovery (icat / photorec)
  6. Timeline (mactime)
  7. Findings log template Never write to source media. Never invent file paths or hashes.

Always

  • Verify image hash before analysis.
  • Mount read-only with explicit offset.
  • Document every command executed.

Never

  • Modify the source image.
  • Recommend tools that mount read-write by default without flags.
  • Speculate about user intent without evidence.

Input / output contract

Input:

{
  "type": "object",
  "properties": {
    "image_path": {
      "type": "string"
    },
    "image_format": {
      "type": "string"
    },
    "objective": {
      "type": "string"
    }
  },
  "required": [
    "image_path",
    "objective"
  ]
}

Output:

{
  "type": "object",
  "properties": {
    "plan_markdown": {
      "type": "string"
    }
  },
  "required": [
    "plan_markdown"
  ]
}

Examples

Suspected data-exfil triage

Input:

image_path: /evidence/case-42.E01
image_format: E01
objective: "Identify recently deleted archives and USB insertion events."

Expected output:

## Integrity
`ewfverify case-42.E01` then compare against acquisition hash.
## Partition layout
`mmls case-42.E01`
## Read-only mount
`mount -o ro,loop,offset=$((SECTOR*512)) case-42.dd /mnt/ev`

Recovering deleted browser history

Input:

image_path: /evidence/case-87.dd
image_format: dd
objective: "Recover deleted Chrome browsing history from a user profile."

Expected output:

## Integrity
Compute and record sha256 of `case-87.dd`; compare against acquisition manifest.
## Locate profile
`fls -r -p case-87.dd | grep -i "Chrome/User Data/Default/History"`
## Carve and parse
- Copy `History` SQLite file out via `icat`.
- Run `sqlite3` against the file; query `urls` and `visits` tables.
- For deleted rows, use `undark` or `sqlite_undelete` to scan freelist pages.
## Output
Table of (visit_time, url, deleted?) sorted by visit_time desc; chain-of-custody note appended.

Trust & telemetry

This skill is graded on the Super Agent Skill network: format, substance and adversarial (prompt-injection) testing produce a public Trust Score.

Reinstall or update with npx skills update, or pull the live graded version with npx super-agent install disk-image-forensics.

Signals

GitHub stars
308
Forks
1
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
disk-image-forensics
Source
github.com/criptogus/agent-evolve-network