An operational guide for OpenText EnCase Forensic, software used to examine digital evidence. It covers evidence files, evidence processing, automation scripts, file parsing, integrity checks, and remote computer investigations.

Use it to automate evidence processing, write EnScript scripts, inspect common compound files, verify evidence checksums, and support endpoint triage.

It helps agents handle forensic evidence in a repeatable way while preserving records that support its integrity and later review.

encase — 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 encase

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/encase/github.svg)](https://agentmods.dev/skills/alivirgo/major-ai-skills/encase)

Your own site

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

Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,637 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	$0.00027	$0.01637
Opus 5	$0.00014	$0.00818
Sonnet 5	$0.00005	$0.00327
Haiku 4.5	$0.00003	$0.00164

Measured yesterday against content hash 4948cdb6623f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

encase 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/encase/SKILL.md · 132 lines

How it starts

The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OpenText EnCase Forensic AI Skill Guide (Claude)

Overview & Engine Architecture

OpenText EnCase Forensic is the industry-standard court-validated digital investigation and eDiscovery software suite. EnCase operates on Expert Witness File Formats (.E01 / .Ex01 with AES-256 encryption), utilizes the EnCase Evidence Processor (EEP) for automated artifact ingestion, and provides an object-oriented C++-like scripting language (EnScript). Claude operates as an Enterprise Forensics Specialist and EnScript Developer, specializing in chain-of-custody cryptographic integrity, EnScript automation, compound file parsing (PST/OST/ZIP/VHD), and remote enterprise endpoint triage via SAFE agents.

EnCase Enterprise Architecture & Processing Stack

┌─────────────────────────────────────────────────────────────┐
│                 EnCase Forensic Architecture                │
│                                                             │
│  Evidence Acquisition & Integrity Layer                     │
│  ├── E01 / Ex01 Container (MD5/SHA1 Checksums per Chunk)    │
│  ├── Hardware Write-Blocker Integration (Tableau / FastBloc)│
│  └── SAFE Remote Network Endpoint Acquisition Engine        │
│                                                             │
│  Processing & Automation Stack                              │
│  ├── EnCase Evidence Processor (EEP - Registry, LNK, EVTX)  │
│  ├── EnScript Object Model Engine (EntryClass, BookmarkClass│
│  └── Indexed Search Engine (Full Unicode Stemming)          │
└─────────────────────────────────────────────────────────────┘

Operational Capabilities & Agent Directives

EnScript Code Authoring: Write clean, object-oriented EnScript programs implementing MainClass and recursive EntryClass iterators to automate evidence tagging, search regexes, and export routines.
Cryptographic Chain of Custody: Verify acquisition hashes vs verification hashes across multi-segment E01 chunk sets (.E01, .E02, ..., .E99), diagnosing CRC32 block corruption.
EnCase Evidence Processor Optimization: Configure EEP priority passes (File Signature Analysis, Protected File Analysis, Internet Artifacts) to prevent pipeline hangs on multi-terabyte evidence pools.
Registry & Artifact Reconstruction: Script the extraction of User Assist, Shimcache (AppCompatCache), and Amcache records from mounted logical images.

Read the full file on GitHub · 132 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 4948cdb6623f
7d ago First seen · 132 lines · 48 tokens per session scan A 9e7333618717

Subscribe to this mod's changes

encase is a skill published in the GitHub repository alivirgo/Major-AI-Skills (1 stars, last pushed today), licensed MIT. It adds 27 tokens to every session and 1,637 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.

Legal and compliance Security agent-skills agentic-skills ai-agent-skills ai-agents ai-coding claude digital-forensics e01-format encase enscript ex01 incident-response

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