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.
npx agentmods add skills/evilfreelancer/secs/analyzing-memory-imagesnpx skills add EvilFreelancer/secs --skill analyzing-memory-imagesgit clone --depth 1 https://github.com/EvilFreelancer/secsWrote 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.
[](https://agentmods.dev/skills/evilfreelancer/secs/analyzing-memory-images)<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>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 | $0.00081 | $0.03937 |
| Opus 5 | $0.00041 | $0.01969 |
| Sonnet 5 | $0.00016 | $0.00787 |
| Haiku 4.5 | $0.00008 | $0.00394 |
Grade B, and why
analyzing-memory-images scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
sudo insmod lime-$(uname -r).ko "path=/evidence/mem.lime format=lime" 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.
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)
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.
- 4d ago First seen · 384 lines · 81 tokens per session scan B 5af3fec2d9d4
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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