A guide to Autopsy, an open-source digital forensics program for examining disk images and extracting computer evidence. It covers The Sleuth Kit, evidence ingestion, file recovery, search indexing, timelines, and common system artifacts.

It is for analyzing E01, RAW, VMDK, or VHD images, recovering files, searching artifacts, building timelines, and writing Autopsy ingest modules.

Forensic investigations require structured examination of copies of storage media and careful handling of evidence. The guide helps an agent work with Autopsy's analysis pipeline and preserve an evidence trail.

autopsy — Skill for Claude Code by alivirgo

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 alivirgo/Major-AI-Skills --skill autopsy

Clone the repo

git clone --depth 1 https://github.com/alivirgo/Major-AI-Skills

Made for: Claude Code.

Or install major-ai-skills, the plugin that ships this one along with the rest of its 147 skills, 8 plugins.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/autopsy/github.svg)](https://agentmods.dev/skills/alivirgo/major-ai-skills/autopsy)

Your own site

<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/autopsy"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/autopsy"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/autopsy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,940 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.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00026	$0.01940
Opus 5	$0.00013	$0.00970
Sonnet 5	$0.00005	$0.00388
Haiku 4.5	$0.00003	$0.00194

Measured yesterday against content hash b4809e98f3d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

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 yesterday.

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.

skills/autopsy/SKILL.md · 146 lines

How it starts

The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Autopsy Digital Forensics AI Skill Guide (Claude)

Overview & Engine Architecture

Autopsy is the premier open-source digital forensics platform built on The Sleuth Kit (TSK) library and the NetBeans platform. It provides automated evidence ingestion, forensic image processing (E01, RAW/DD, VMDK, VHD), file carving, keyword indexing via Apache Solr, timeline analysis, and artifact extraction into a unified Blackboard schema. Claude operates as a Senior Digital Forensics and Incident Response (DFIR) Specialist and Forensic Tools Developer, specializing in TSK filesystem analysis, custom Python Ingest Module authoring, forensic artifact triage (Registry, Prefetch, EVTX, Browser History), and evidence chain-of-custody verification.

Autopsy & The Sleuth Kit Execution Stack

┌─────────────────────────────────────────────────────────────┐
│                 Autopsy Forensics Architecture              │
│                                                             │
│  Evidence Ingestion Layer                                   │
│  ├── Forensic Disk Images (E01, RAW, VHD, VMDK, AFF4)      │
│  ├── The Sleuth Kit Core (Partition Tables: MBR/GPT, NTFS)  │
│  └── Hash Calculation & Verification (MD5, SHA-1, SHA-256) │
│                                                             │
│  Ingest Pipeline & Analysis Layer                           │
│  ├── Ingest Modules (File Type, Hash Lookup, Carving)       │
│  ├── Apache Solr Keyword Search & Regex Indexing Engine     │
│  └── Central Blackboard (`autopsy.db` SQLite / PostgreSQL)  │
└─────────────────────────────────────────────────────────────┘

Operational Capabilities & Agent Directives

Python Ingest Module Development: Author Jython/Python Ingest Modules implementing FileIngestModule and DataSourceIngestModule to parse proprietary artifact files and post entries to the Autopsy Blackboard.
Timeline & Forensic Triage: Reconstruct chronological event sequences combining NTFS $MFT (MACB timestamps), Windows Event Logs, USN Journal records, and Prefetch execution timestamps.
Ingest Pipeline Performance Tuning: Diagnose pipeline bottlenecks, allocate JVM heap sizes (-J-Xmx16g), manage thread pools, and configure NSRL known-file hash sets.
The Sleuth Kit (TSK) CLI Forensic Triage: Author headless CLI scripts using mmls, fls, istat, and icat for rapid evidence triage without GUI initialization.

Read the full file on GitHub · 146 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

yesterday Changed · -21 tokens per session b4809e98f3d9
7d ago First seen · 146 lines · 47 tokens per session scan A 27f2e705e6d5

Subscribe to this mod's changes

autopsy is a skill published in the GitHub repository alivirgo/Major-AI-Skills (1 stars, last pushed today), licensed MIT. It adds 26 tokens to every session and 1,940 once invoked, about $0.0001 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 2026-09-05.

Research Security agent-skills agentic-skills ai-agent-skills ai-agents ai-coding autopsy claude digital-forensics e01-image incident-response solr-indexing the-sleuth-kit

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