analyzing-disk-image-with-autopsy

analyzing-disk-image-with-autopsy is a skill for Claude Code from oyi77/1ai-skills. It costs 48 tokens per session (966 once invoked), scanned A, original, MIT.

A digital-forensics guide for examining a forensic disk image with Autopsy, a desktop tool for investigating copied storage media. It helps recover files, inspect file-system evidence, and build a timeline of activity.

In plain words
What is it for?
Use it to search images in raw, E01, or AFF formats, recover deleted files, examine artifacts, create timelines, and prepare visual reports for an investigation.
Why use it?
A disk image can contain deleted files, metadata, and other traces that are easy to miss when examined manually. A structured case view makes evidence easier to search and explain.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the 1ai-skills plugin — 209 skills, 4 commands shipped together

Good fit Use it to search images in raw, E01, or AFF formats, recover deleted files, examine artifacts, create timelines, and prepare visual reports for an investigation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/oyi77/1ai-skills/analyzing-disk-image-with-autopsy
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add oyi77/1ai-skills --skill analyzing-disk-image-with-autopsy
Clone the repo
git clone --depth 1 https://github.com/oyi77/1ai-skills

Made for: Claude Code.

Or install 1ai-skills, the plugin that ships this one along with the rest of its 209 skills, 4 commands.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for analyzing-disk-image-with-autopsy

README.md
[![agentmods](https://agentmods.dev/badge/skills/oyi77/1ai-skills/analyzing-disk-image-with-autopsy/github.svg)](https://agentmods.dev/skills/oyi77/1ai-skills/analyzing-disk-image-with-autopsy)
Your own site
<a href="https://agentmods.dev/skills/oyi77/1ai-skills/analyzing-disk-image-with-autopsy"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/analyzing-disk-image-with-autopsy/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for analyzing-disk-image-with-autopsy

Your own site · 80×15
<a href="https://agentmods.dev/skills/oyi77/1ai-skills/analyzing-disk-image-with-autopsy"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/analyzing-disk-image-with-autopsy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 966 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00048 $0.00966
Opus 5 $0.00024 $0.00483
Sonnet 5 $0.00010 $0.00193
Haiku 4.5 $0.00005 $0.00097

Measured 7d ago against content hash 7ccd0b12ae02, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

analyzing-disk-image-with-autopsy scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

cybersecurity/analyzing-disk-image-with-autopsy/SKILL.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Analyzing Disk Image With Autopsy

Overview

Cybersecurity skill for analyzing disk image with autopsy. Follows industry best practices and security standards.

When to Use

Trigger phrases:

  • "analyzing disk image with autopsy"

  • "Perform comprehensive forensic analysis of disk images using Autopsy to recover "

  • When you have a forensic disk image and need structured analysis of its contents

  • During investigations requiring file recovery, keyword searching, and timeline analysis

  • When non-technical stakeholders need visual reports from forensic evidence

  • For examining file system metadata, deleted files, and embedded artifacts

  • When building a comprehensive case from multiple disk images

When NOT to Use

  • When you lack proper authorization for testing
  • For production systems without change management
  • When the task requires legal or compliance expertise beyond technical scope

Prerequisites

  • Autopsy 4.x installed (Windows) or Autopsy 4.x with The Sleuth Kit (Linux)
  • Forensic disk image in raw (dd), E01 (EnCase), or AFF format
  • Minimum 8GB RAM (16GB recommended for large images)
  • Java Runtime Environment (JRE) 8+ for Autopsy
  • Sufficient disk space for the Autopsy case database (2-3x image size)
  • Hash databases (NSRL, known-bad hashes) for file identification

Workflow

# Example: IOC detection
import re

IOC_PATTERNS = {
    "ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
    "domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
    "hash_md5": r"\b[a-f0-9]{32}\b",
    "hash_sha256": r"\b[a-f0-9]{64}\b",
}

def extract_iocs(text: str) -> dict:
    return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}
  1. Scope the Analysis — Define what disk image artifacts or data sources to examine and the investigation timeline.
  2. Preserve Evidence — Create forensic copies of relevant data. Maintain chain of custody documentation.
  3. Extract Key Indicators — Use autopsy to parse and extract relevant disk image data points from collected artifacts.
  4. Correlate Findings — Cross-reference extracted data with other sources (threat intel, logs, timelines).
  5. Build Timeline — Construct a chronological sequence of events related to disk image.
  6. Document Analysis — Write findings report with evidence, conclusions, and recommendations.

Read the full file on GitHub · 112 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 112 lines · 48 tokens per session scan A 7ccd0b12ae02

Subscribe to this mod's changes

analyzing-disk-image-with-autopsy is a skill published in the GitHub repository oyi77/1ai-skills (12 stars, last pushed today), licensed MIT. It adds 48 tokens to every session and 966 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.

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