analyzing-memory-forensics-with-lime-and-volatility SKILL.md skillA
analyzing-memory-forensics-with-lime-and-volatility from andycungkrinx91/konoha is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add andycungkrinx91/konoha/analyzing-memory-forensics-with-lime-and-volatility@v1.0Pins v1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- andycungkrinx91/konoha
- Path
src/templates/skills/akatsuki-skill/references/anthropic-cybersecurity-skills-assets/skills/analyzing-memory-forensics-with-lime-and-volatility/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0, committed Oct 25, 2026
- Size
- 2,524 bytes
- Repository stars
- 15
- License
- MIT
'Performs Linux memory acquisition using LiME (Linux Memory Extractor).
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Analyzing Memory Forensics with LiME and Volatility ## When to Use - When investigating security incidents that require analyzing memory forensics with lime and volatility - When building detection rules or threat hunting queries for this domain - When SOC analysts need structured procedures for this analysis type - When validating security monitoring coverage for related attack techniques ## Prerequisites - Familiarity with security operations concepts and tools - Access to a test or lab environment for safe execution - Python 3.8+ with required dependencies installed - Appropriate authorization for any testing activities ## Instructions Acquire Linux memory using LiME kernel module, then analyze with Volatility 3 to extract forensic artifacts from the memory image. ```bash # LiME acquisition insmod lime-$(uname -r).ko "path=/evidence/memory.lime format=lime" # Volatility 3 analysis vol3 -f /evidence/memory.lime linux.pslist vol3 -f /evidence/memory.lime linux.bash vol3 -f /evidence/memory.lime linux.sockstat ``` ```python import volatility3 from volatility3.framework import contexts, automagic from volatility3.plugins.linux import pslist, bash, sockstat …
Read the whole file at its exact version.
How to install
mdr add andycungkrinx91/konoha/analyzing-memory-forensics-with-lime-and-volatility@sha256:4d39bc65bc995cd5The line at the top of this page pins the label v1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_2pfygim6ojnb6h63)
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Versions
The registry has recorded 1 version of this file, committed on Oct 25, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (2524 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
andycungkrinx91/konoha · 15 stars · license MIT · pushed 2026-11-01 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_2pfygim6ojnb6h63 GET https://markdownregistry.com/api/v1/resolve?ref=andycungkrinx91/konoha/analyzing-memory-forensics-with-lime-and-volatility GET https://markdownregistry.com/api/v1/blob/4d39bc65bc995cd5f140ad0fe8bdcaea2f46aedf4f56fd6efdb383f058a32ebd
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.