analyzing-memory-images

analyzing-memory-images is a skill for Claude Code, Codex from EvilFreelancer/secs. It costs 81 tokens per session (3,937 once invoked), scanned B, a copy of analyzing-memory-images, Apache-2.0.

A procedure for examining a memory image, a captured snapshot of a computer's RAM, with Volatility 3. It looks for processes, injected code, credentials, network activity, rootkits, and a timeline of events.

In plain words
What is it for?
Use it to investigate a captured RAM dump from a compromised host, find injected code, recover credential material, inspect network connections, detect kernel rootkits, and build an event timeline.
Why use it?
Some evidence exists only in RAM and disappears when a machine is shut down. Disk-based investigation can miss decrypted data, active connections, and code injected into processes.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/evilfreelancer/secs/analyzing-memory-images
Any agent
npx skills add EvilFreelancer/secs --skill analyzing-memory-images
Clone the repo
git clone --depth 1 https://github.com/EvilFreelancer/secs

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 analyzing-memory-images

README.md
[![agentmods](https://agentmods.dev/badge/skills/evilfreelancer/secs/analyzing-memory-images.svg)](https://agentmods.dev/skills/evilfreelancer/secs/analyzing-memory-images)
Your own site
<a href="https://agentmods.dev/skills/evilfreelancer/secs/analyzing-memory-images"><img src="https://agentmods.dev/badge/skills/evilfreelancer/secs/analyzing-memory-images.svg" alt="Measured on agentmods" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,937 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. Scan, not verified.
Origin 95% copy Near-identical to another mod 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 $0.00081 $0.03937
Opus 5 $0.00041 $0.01969
Sonnet 5 $0.00016 $0.00787
Haiku 4.5 $0.00008 $0.00394

Measured 4d ago against content hash 5af3fec2d9d4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

analyzing-memory-images scanned grade B with 1 finding 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 4d 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

sudo insmod lime-$(uname -r).ko "path=/evidence/mem.lime format=lime"
Origin

This is a copy

95% identical to analyzing-memory-images — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/analyzing-memory-images/SKILL.md · 384 lines

How it starts

The opening of the file, as written. The whole thing — 384 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Analyzing Memory Images

Memory is the only place certain artifacts exist — injected code, decrypted payloads, credential material, and network connections from processes that have already exited. Disk forensics misses all of these. The work is getting the image before it is lost, then asking the right questions in the right order.

When to Use

  • You have a memory dump (raw, LiME, EWF, crash dump, or VM snapshot) to analyze
  • Investigating a compromised host and need artifacts that exist only in RAM
  • Looking for injected code, process hollowing, or reflective DLL loading
  • Extracting credential material — hashes, Kerberos tickets, cached credentials
  • Identifying network connections and listening ports from a point-in-time capture
  • Detecting kernel-level rootkits — SSDT hooks, DKOM, hidden drivers

When NOT to Use

  • Broader incident response methodology — use responding-to-incidents
  • You have an acquired disk image, not a RAM capture — use responding-to-incidents
  • On-disk artifacts of a live/triage Windows host — use investigating-windows-endpoints
  • Analyzing a known malware sample on disk — use analyzing-malware
  • Writing detection rules from your memory findings — use engineering-detections

Acquisition

Acquire memory before doing anything else on a live system. Every command you run on the box changes what is in memory. Image first, triage second.

# Linux — LiME (kernel module, minimal footprint)
sudo insmod lime-$(uname -r).ko "path=/evidence/mem.lime format=lime"
# Alternative: AVML (no kernel module needed, userspace)
sudo ./avml /evidence/mem.lime

# Windows — WinPMem (signed driver)
winpmem_mini_x64.exe mem.raw
# Alternative: DumpIt (single executable, click-to-run for non-technical staff)
DumpIt.exe /OUTPUT mem.raw /QUIET

# macOS — osxpmem is dead (Rekall archived, last release 2017, Intel-only, and
# blocked by SIP/kext restrictions on Big Sur+ and all Apple Silicon). Full-RAM
# capture on a modern Mac needs commercial tooling with Apple entitlements
# (e.g. Volexity Surge Collect); otherwise take process-scoped dumps and
# record that physical memory was not obtainable. See responding-to-incidents.

# VM snapshots — no agent needed
# VMware:   .vmem file alongside the .vmx (suspend the VM first for consistency)
# Hyper-V:  checkpoint creates .bin and .vsv in the snapshot directory
# KVM/QEMU: virsh dump <domain> mem.raw --memory-only
# VirtualBox: VBoxManage debugvm <name> dumpvmcore --filename mem.elf

# Crash dumps — partial but sometimes all you have
# Windows:  %SystemRoot%\MEMORY.DMP (complete dump), or minidumps
# Linux:    /var/crash/, kdump output, /proc/kcore (live, pseudo-file)

Read the full file on GitHub · 384 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. 4d ago First seen · 384 lines · 81 tokens per session scan B 5af3fec2d9d4

Subscribe to this mod's changes

analyzing-memory-images is a skill published in the GitHub repository EvilFreelancer/secs (10 stars, last pushed 25d ago), licensed Apache-2.0. It adds 81 tokens to every session and 3,937 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). It is 95% identical to analyzing-memory-images, differing in 2 lines, and is treated as a copy.

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