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Diagnosis · Security

analyzing-linux-kernel-rootkits

When investigating security incidents that require analyzing linux kernel rootkits - When building detection rules or threat hunting…

Testing what is locked and what isn’t

Works with
ClaudeChatGPTGeminiClaude CodeCodexCursorCopilotGemini CLI
Setup
One command
Best in a coding tool, where its scripts can run.
Contains
Instructions + 1 script
Python.
Maintained
Last change 31 Aug 2026
On the repository’s main branch.

What it does

Linux kernel rootkits operate at ring 0, modifying kernel data structures to hide processes, files, network connections, and kernel modules from userspace tools.

Read more

Detection requires either memory forensics (analyzing physical memory dumps with Volatility3) or cross-view analysis (comparing /proc, /sys, and kernel data structures for inconsistencies). This skill covers using Volatility3 Linux plugins to detect syscall table hooks, hidden kernel modules, and modified function pointers, supplemented by live system scanning with rkhunter and chkrootkit.

What it can touch

  • Includes 1 script

    Your AI can run these when the skill is used — on your computer in a coding tool (which asks first unless you have told it not to), or in the AI’s own sandbox in Claude and ChatGPT.

    How we know

    Found in the skill’s folder: scripts/agent.py.

  • Installs other software

    Following it will install packages (npm, pip, brew or similar). Those come from their own publishers, not from this skill.

    How we know

    The SKILL.md contains package-install commands.

  • Asks for administrator rights

    Some of its commands use sudo or "run as administrator". Those can change anything on your computer.

    How we know

    Seen in its code. Read 2026-10-05, commit 54a7988.

  • No known risk pattern found

    Launch7’s automated check read all 4 text files in this skill and matched none of its risk patterns. This is not a guarantee: a check like this can miss new or disguised tricks, and the author can change the files after the check.

    How we know

    Read 2026-10-05, commit 54a7988 by pipeline/trust/analyze.py — 40+ patterns for hidden text, prompt injection, downloads that run, credential access and more. It reads; it never runs the skill.

  • Recently maintained

    Its repository has had changes recently.

    How we know

    Last push to mukul975/Anthropic-Cybersecurity-Skills: 2026-08-31 (35 days before the scan).

Read automatically from the skill’s own files on GitHub on 5 Oct 2026. Launch7 does not run or manually review skills: this lists what the check saw, and nothing here means “safe”. How we check

Add it to your AI

Partly. Upload it in Claude’s settings — the instructions work; the scripts need the full folder.

  1. Built in your browser from the SKILL.md on GitHub — nothing passes through Launch7.

  2. In Claude, open Customize → Skills, press +, then Create skill → Upload a skill, and choose the .zip.

  3. Make sure code execution is switched on (Settings → Capabilities). Skills need it.

  4. Start a new chat and ask for the job in your own words — Claude picks the skill up when it fits.

This skill ships 1 script beside its instructions. The download here is the SKILL.md alone — enough for the instructions, not for the parts that run code. Use the command route, or take the full folder from the repository.

How Claude does this: support.claude.com · checked 28 Sep 2026 · “Supported” means documented by the vendor; Launch7 has not run it end to end

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