analyzing-linux-system-artifacts

analyzing-linux-system-artifacts is a skill for Claude Code, Codex from marysatasselshaped667/skills-collection-1. It costs 35 tokens per session (4,025 once invoked), scanned A, a copy of analyzing-linux-system-artifacts, MIT.

A guide to examining Linux logs, scheduled tasks, shell history, and system settings for signs of unauthorized activity.

In plain words
What is it for?
It is for collecting evidence from servers or workstations, tracing user activity, and finding persistence such as cron jobs, systemd services, or unauthorized SSH keys.
Why use it?
It helps incident responders understand how a Linux computer was compromised, what an attacker changed, and whether access remains.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit It is for collecting evidence from servers or workstations, tracing user activity, and finding persistence such as cron jobs, systemd services, or unauthorized SSH keys.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/marysatasselshaped667/skills-collection-1/analyzing-linux-system-artifacts
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 marysatasselshaped667/skills-collection-1 --skill analyzing-linux-system-artifacts
Clone the repo
git clone --depth 1 https://github.com/marysatasselshaped667/skills-collection-1

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-linux-system-artifacts

README.md
[![agentmods](https://agentmods.dev/badge/skills/marysatasselshaped667/skills-collection-1/analyzing-linux-system-artifacts/github.svg)](https://agentmods.dev/skills/marysatasselshaped667/skills-collection-1/analyzing-linux-system-artifacts)
Your own site
<a href="https://agentmods.dev/skills/marysatasselshaped667/skills-collection-1/analyzing-linux-system-artifacts"><img src="https://agentmods.dev/badge/skills/marysatasselshaped667/skills-collection-1/analyzing-linux-system-artifacts/github.svg" alt="Measured on agentmods" height="20"></a>

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 analyzing-linux-system-artifacts

Your own site · 80×15
<a href="https://agentmods.dev/skills/marysatasselshaped667/skills-collection-1/analyzing-linux-system-artifacts"><img src="https://agentmods.dev/badge/skills/marysatasselshaped667/skills-collection-1/analyzing-linux-system-artifacts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,025 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. ✓ AI security review Sonnet 5 · 7 Sept 2026 📄 Read the review
Origin 92% 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 5.1 $0.00035 $0.04025
Opus 5 $0.00017 $0.02013
Sonnet 5 $0.00007 $0.00805
Haiku 4.5 $0.00003 $0.00402

Measured 7d ago against content hash 81b145416ad0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

analyzing-linux-system-artifacts 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 7d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/agent.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

This is a copy

92% identical to analyzing-linux-system-artifacts — 25 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.

SKILLS/analyzing-linux-system-artifacts/SKILL.md · 321 lines

How it starts

The opening of the file, as written. The whole thing — 321 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Analyzing Linux System Artifacts

When to Use

  • When investigating a compromised Linux server or workstation
  • For identifying persistence mechanisms (cron, systemd, SSH keys)
  • When tracing user activity through shell history and authentication logs
  • During incident response to determine the scope of a Linux-based breach
  • For detecting rootkits, backdoors, and unauthorized modifications

Prerequisites

  • Forensic image or live access to the Linux system (read-only)
  • Understanding of Linux file system hierarchy (FHS)
  • Knowledge of common Linux logging locations (/var/log/)
  • Tools: chkrootkit, rkhunter, AIDE, auditd logs
  • Familiarity with systemd, cron, and PAM configurations
  • Root access for complete artifact collection

Workflow

Step 1: Mount and Collect System Artifacts

# Mount forensic image read-only
mount -o ro,loop,offset=$((2048*512)) /cases/case-2024-001/images/linux_evidence.dd /mnt/evidence

# Create collection directories
mkdir -p /cases/case-2024-001/linux/{logs,config,users,persistence,network}

# Collect authentication logs
cp /mnt/evidence/var/log/auth.log* /cases/case-2024-001/linux/logs/
cp /mnt/evidence/var/log/secure* /cases/case-2024-001/linux/logs/
cp /mnt/evidence/var/log/syslog* /cases/case-2024-001/linux/logs/
cp /mnt/evidence/var/log/kern.log* /cases/case-2024-001/linux/logs/
cp /mnt/evidence/var/log/audit/audit.log* /cases/case-2024-001/linux/logs/
cp /mnt/evidence/var/log/wtmp /cases/case-2024-001/linux/logs/
cp /mnt/evidence/var/log/btmp /cases/case-2024-001/linux/logs/
cp /mnt/evidence/var/log/lastlog /cases/case-2024-001/linux/logs/
cp /mnt/evidence/var/log/faillog /cases/case-2024-001/linux/logs/

# Collect user artifacts
for user_dir in /mnt/evidence/home/*/; do
    username=$(basename "$user_dir")
    mkdir -p /cases/case-2024-001/linux/users/$username
    cp "$user_dir"/.bash_history /cases/case-2024-001/linux/users/$username/ 2>/dev/null
    cp "$user_dir"/.zsh_history /cases/case-2024-001/linux/users/$username/ 2>/dev/null
    cp -r "$user_dir"/.ssh/ /cases/case-2024-001/linux/users/$username/ 2>/dev/null
    cp "$user_dir"/.bashrc /cases/case-2024-001/linux/users/$username/ 2>/dev/null
    cp "$user_dir"/.profile /cases/case-2024-001/linux/users/$username/ 2>/dev/null
    cp "$user_dir"/.viminfo /cases/case-2024-001/linux/users/$username/ 2>/dev/null
    cp "$user_dir"/.wget-hsts /cases/case-2024-001/linux/users/$username/ 2>/dev/null
    cp "$user_dir"/.python_history /cases/case-2024-001/linux/users/$username/ 2>/dev/null
done

# Collect root user artifacts
cp /mnt/evidence/root/.bash_history /cases/case-2024-001/linux/users/root/ 2>/dev/null
cp -r /mnt/evidence/root/.ssh/ /cases/case-2024-001/linux/users/root/ 2>/dev/null

# Collect system configuration
cp /mnt/evidence/etc/passwd /cases/case-2024-001/linux/config/
cp /mnt/evidence/etc/shadow /cases/case-2024-001/linux/config/
cp /mnt/evidence/etc/group /cases/case-2024-001/linux/config/
cp /mnt/evidence/etc/sudoers /cases/case-2024-001/linux/config/
cp -r /mnt/evidence/etc/sudoers.d/ /cases/case-2024-001/linux/config/
cp /mnt/evidence/etc/hosts /cases/case-2024-001/linux/config/
cp /mnt/evidence/etc/resolv.conf /cases/case-2024-001/linux/config/
cp -r /mnt/evidence/etc/ssh/ /cases/case-2024-001/linux/config/

Read the full file on GitHub · 321 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 7d ago First seen · 321 lines · 35 tokens per session scan E 81b145416ad0

Subscribe to this mod's changes

analyzing-linux-system-artifacts is a skill published in the GitHub repository marysatasselshaped667/skills-collection-1 (1 stars, last pushed today), licensed MIT. It adds 35 tokens to every session and 4,025 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to analyzing-linux-system-artifacts, differing in 25 lines, and is treated as a copy.

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