Analyze memory images for processes, modules, and malware indicators with Volatility 3

Analyze memory images for processes, modules, and malware indicators with Volatility 3 is a skill for Claude Code, Codex from agentskillexchange/skills. It costs 41 tokens per session (517 once invoked), scanned A, original, MIT.

A guide for examining captured computer memory with Volatility 3, a tool that reads RAM images. It can list running processes, loaded modules, open handles, and signs of suspicious activity.

In plain words
What is it for?
Use it for memory forensics, malware investigations, and reviewing processes or modules in a captured RAM image.
Why use it?
It helps investigators find evidence that may exist only in memory and prepare findings for further investigation or evidence handoff.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for memory forensics, malware investigations, and reviewing processes or modules in a captured RAM image.

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Install with agentmods
npx agentmods add skills/agentskillexchange/skills/analyze-memory-images-for-processes-modules-and-malware-indicators-with-volatili
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 agentskillexchange/skills --skill analyze-memory-images-for-processes-modules-and-malware-indicators-with-volatili
Clone the repo
git clone --depth 1 https://github.com/agentskillexchange/skills

Made for: Claude Code, Codex.

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 Analyze memory images for processes, modules, and malware indicators with Volatility 3

README.md
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Your own site
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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 Analyze memory images for processes, modules, and malware indicators with Volatility 3

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<a href="https://agentmods.dev/skills/agentskillexchange/skills/analyze-memory-images-for-processes-modules-and-malware-indicators-with-volatili"><img src="https://agentmods.dev/badge/skills/agentskillexchange/skills/analyze-memory-images-for-processes-modules-and-malware-indicators-with-volatili.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 517 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 $0.00041 $0.00517
Opus 5 $0.00020 $0.00259
Sonnet 5 $0.00008 $0.00103
Haiku 4.5 $0.00004 $0.00052

Measured 13d ago against content hash e2d43ff69355, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

Analyze memory images for processes, modules, and malware indicators with Volatility 3 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 13d 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.

skills/analyze-memory-images-for-processes-modules-and-malware-indicators-with-volatility-3/SKILL.md · 53 lines

What it actually says

Analyze memory images for processes, modules, and malware indicators with Volatility 3

Inspect captured RAM images to enumerate processes, modules, handles, and suspicious in-memory behavior before escalation or evidence handoff.

Prerequisites

Volatility 3 CLI, Python 3.8+ environment, supported memory image file, optional symbol packs depending on target OS

Installation

Use the upstream install or setup path that matches your environment:

Requirements and caveats from upstream:

  • Some also require/accept other options. Run vol -h for more information on a particular command.
  • Volatility 3 requires Python 3.8.0 or later and is published on the PyPi registry.
  • Important: The first run of volatility with new symbol files will require the cache to be updated. The symbol packs contain a large number of symbol files and so may take some time to update!

Basic usage or getting-started notes:

Documentation

Source

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. 13d ago First seen · 53 lines · 41 tokens per session scan A e2d43ff69355

Subscribe to this mod's changes

Analyze memory images for processes, modules, and malware indicators with Volatility 3 is a skill published in the GitHub repository agentskillexchange/skills (38 stars, last pushed today), licensed MIT. It adds 41 tokens to every session and 517 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 2026-08-30.

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