Shadowvpn Deploy Client
madeye/shadowvpn
Deploy, install, and run the ShadowVPN client in a target environment — Linux (systemd), macOS (launchd), or Windows (Wintun, foreground launcher or scheduled-task service).
Examine Linux system artifacts (auth logs, cron/systemd persistence, shell history, SSH keys, and system configuration) to uncover evidence of compromise, detect rootkits or backdoors, and…
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-linux-system-artifacts -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-linux-system-artifacts --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/analyzing-linux-system-artifacts .claude/skills/analyzing-linux-system-artifacts && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "analyzing-linux-system-artifacts" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-linux-system-artifacts into .claude/skills/analyzing-linux-system-artifacts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-linux-system-artifacts", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-linux-system-artifactsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-linux-system-artifacts -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-linux-system-artifacts --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/analyzing-linux-system-artifacts .agents/skills/analyzing-linux-system-artifacts && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "analyzing-linux-system-artifacts" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-linux-system-artifacts into .agents/skills/analyzing-linux-system-artifacts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-linux-system-artifacts", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-linux-system-artifacts -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-linux-system-artifacts --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/analyzing-linux-system-artifacts .cursor/skills/analyzing-linux-system-artifacts && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "analyzing-linux-system-artifacts" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-linux-system-artifacts into .cursor/skills/analyzing-linux-system-artifacts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-linux-system-artifacts", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git --path skills/analyzing-linux-system-artifacts--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-linux-system-artifacts -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-linux-system-artifacts --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/analyzing-linux-system-artifacts .gemini/skills/analyzing-linux-system-artifacts && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "analyzing-linux-system-artifacts" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-linux-system-artifacts into .gemini/skills/analyzing-linux-system-artifacts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-linux-system-artifacts", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-linux-system-artifactsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-linux-system-artifacts -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/analyzing-linux-system-artifacts .github/skills/analyzing-linux-system-artifacts && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "analyzing-linux-system-artifacts" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-linux-system-artifacts into .github/skills/analyzing-linux-system-artifacts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-linux-system-artifacts", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-linux-system-artifacts -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-linux-system-artifacts --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/analyzing-linux-system-artifacts .opencode/skills/analyzing-linux-system-artifacts && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "analyzing-linux-system-artifacts" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-linux-system-artifacts into .opencode/skills/analyzing-linux-system-artifacts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-linux-system-artifacts", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
analyzing-linux-system-artifactsExamine Linux system artifacts (auth logs, cron/systemd persistence, shell history, SSH keys, and system configuration) to uncover evidence of compromise, detect rootkits or backdoors, and…
Analyzing Linux System Artifacts is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Examine Linux system artifacts (auth logs, cron/systemd persistence, shell history, SSH keys, and system configuration) to uncover evidence of compromise, detect rootkits or backdoors, and reconstruct user/attacker activity. Use when investigating a compromised Linux server or workstation, hunting for persistence mechanisms, or scoping a Linux-based breach during incident response.
Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/agent.py`).
It sits in DevOps & Cloud, covering Linux administration, Scheduled and recurring tasks and Incident response. It works with Linux. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3sshFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use ssh, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Analyzing Linux System Artifacts loads about 3.7k tokens when it runs, and up to ~4.6k if it reads all its reference files. Until then it costs about 104 tokens; SKILL.md has 453 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 453 words, ~3,734 tokens.
.claude/skills/analyzing-linux-system-artifacts/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.# 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/# Analyze user accounts for anomalies
python3 << 'PYEOF'
print("=== USER ACCOUNT ANALYSIS ===\n")
# Parse /etc/passwd
with open('/cases/case-2024-001/linux/config/passwd') as f:
for line in f:
parts = line.strip().split(':')
if len(parts) >= 7:
username, _, uid, gid, comment, home, shell = parts[0], parts[1], int(parts[2]), int(parts[3]), parts[4], parts[5], parts[6]
# Flag accounts with UID 0 (root equivalent)
if uid == 0 and username != 'root':
print(f" ALERT: UID 0 account: {username} (shell: {shell})")
# Flag accounts with login shells that shouldn't have them
if shell not in ('/bin/false', '/usr/sbin/nologin', '/bin/sync') and uid >= 1000:
print(f" User: {username} (UID:{uid}, Shell:{shell}, Home:{home})")
# Flag system accounts with login shells
if uid < 1000 and uid > 0 and shell in ('/bin/bash', '/bin/sh', '/bin/zsh'):
print(f" WARNING: System account with shell: {username} (UID:{uid}, Shell:{shell})")
# Parse /etc/shadow for account status
print("\n=== PASSWORD STATUS ===")
with open('/cases/case-2024-001/linux/config/shadow') as f:
for line in f:
parts = line.strip().split(':')
if len(parts) >= 3:
username = parts[0]
pwd_hash = parts[1]
last_change = parts[2]
if pwd_hash and pwd_hash not in ('*', '!', '!!', ''):
hash_type = 'Unknown'
if pwd_hash.startswith('$6$'): hash_type = 'SHA-512'
elif pwd_hash.startswith('$5$'): hash_type = 'SHA-256'
elif pwd_hash.startswith('$y$'): hash_type = 'yescrypt'
elif pwd_hash.startswith('$1$'): hash_type = 'MD5 (WEAK)'
print(f" {username}: {hash_type} hash, last changed: day {last_change}")
PYEOF
# Analyze login history
last -f /cases/case-2024-001/linux/logs/wtmp > /cases/case-2024-001/linux/analysis/login_history.txt
lastb -f /cases/case-2024-001/linux/logs/btmp > /cases/case-2024-001/linux/analysis/failed_logins.txt 2>/dev/null# Check cron jobs for all users
echo "=== CRON JOBS ===" > /cases/case-2024-001/linux/persistence/cron_analysis.txt
# System cron
for cronfile in /mnt/evidence/etc/crontab /mnt/evidence/etc/cron.d/*; do
echo "--- $cronfile ---" >> /cases/case-2024-001/linux/persistence/cron_analysis.txt
cat "$cronfile" 2>/dev/null >> /cases/case-2024-001/linux/persistence/cron_analysis.txt
echo "" >> /cases/case-2024-001/linux/persistence/cron_analysis.txt
done
# User cron tabs
for cronfile in /mnt/evidence/var/spool/cron/crontabs/*; do
echo "--- User crontab: $(basename $cronfile) ---" >> /cases/case-2024-001/linux/persistence/cron_analysis.txt
cat "$cronfile" 2>/dev/null >> /cases/case-2024-001/linux/persistence/cron_analysis.txt
echo "" >> /cases/case-2024-001/linux/persistence/cron_analysis.txt
done
# Check systemd services for persistence
echo "=== SYSTEMD SERVICES ===" > /cases/case-2024-001/linux/persistence/systemd_analysis.txt
find /mnt/evidence/etc/systemd/system/ -name "*.service" -newer /mnt/evidence/etc/os-release \
>> /cases/case-2024-001/linux/persistence/systemd_analysis.txt
for svc in /mnt/evidence/etc/systemd/system/*.service; do
echo "--- $(basename $svc) ---" >> /cases/case-2024-001/linux/persistence/systemd_analysis.txt
cat "$svc" >> /cases/case-2024-001/linux/persistence/systemd_analysis.txt
echo "" >> /cases/case-2024-001/linux/persistence/systemd_analysis.txt
done
# Check authorized SSH keys (backdoor detection)
echo "=== SSH AUTHORIZED KEYS ===" > /cases/case-2024-001/linux/persistence/ssh_keys.txt
find /mnt/evidence/home/ /mnt/evidence/root/ -name "authorized_keys" -exec sh -c \
'echo "--- {} ---"; cat {}; echo ""' \; >> /cases/case-2024-001/linux/persistence/ssh_keys.txt
# Check rc.local and init scripts
cat /mnt/evidence/etc/rc.local 2>/dev/null > /cases/case-2024-001/linux/persistence/rc_local.txt
# Check /etc/profile.d/ for login-triggered scripts
ls -la /mnt/evidence/etc/profile.d/ > /cases/case-2024-001/linux/persistence/profile_scripts.txt
# Check for LD_PRELOAD hijacking
grep -r "LD_PRELOAD" /mnt/evidence/etc/ 2>/dev/null > /cases/case-2024-001/linux/persistence/ld_preload.txt
cat /mnt/evidence/etc/ld.so.preload 2>/dev/null >> /cases/case-2024-001/linux/persistence/ld_preload.txt# Analyze bash history for each user
python3 << 'PYEOF'
import os, glob
print("=== SHELL HISTORY ANALYSIS ===\n")
suspicious_commands = [
'wget', 'curl', 'nc ', 'ncat', 'netcat', 'python -c', 'python3 -c',
'perl -e', 'base64', 'chmod 777', 'chmod +s', '/dev/tcp', '/dev/udp',
'nmap', 'masscan', 'hydra', 'john', 'hashcat', 'passwd', 'useradd',
'iptables -F', 'ufw disable', 'history -c', 'rm -rf /', 'dd if=',
'crontab', 'at ', 'systemctl enable', 'ssh-keygen', 'scp ', 'rsync',
'tar czf', 'zip -r', 'openssl enc', 'gpg --encrypt', 'shred',
'chattr', 'setfacl', 'awk', '/tmp/', '/dev/shm/'
]
for hist_file in glob.glob('/cases/case-2024-001/linux/users/*/.bash_history'):
username = hist_file.split('/')[-2]
print(f"User: {username}")
with open(hist_file, 'r', errors='ignore') as f:
lines = f.readlines()
print(f" Total commands: {len(lines)}")
flagged = []
for i, line in enumerate(lines):
line = line.strip()
for cmd in suspicious_commands:
if cmd in line.lower():
flagged.append((i+1, line))
break
if flagged:
print(f" Suspicious commands: {len(flagged)}")
for lineno, cmd in flagged:
print(f" Line {lineno}: {cmd[:120]}")
print()
PYEOF# Check for known rootkit indicators
# Compare system binary hashes against known-good
find /mnt/evidence/usr/bin/ /mnt/evidence/usr/sbin/ /mnt/evidence/bin/ /mnt/evidence/sbin/ \
-type f -executable -exec sha256sum {} \; > /cases/case-2024-001/linux/analysis/binary_hashes.txt
# Check for SUID/SGID binaries (potential privilege escalation)
find /mnt/evidence/ -perm -4000 -type f 2>/dev/null > /cases/case-2024-001/linux/analysis/suid_files.txt
find /mnt/evidence/ -perm -2000 -type f 2>/dev/null > /cases/case-2024-001/linux/analysis/sgid_files.txt
# Check for suspicious files in /tmp and /dev/shm
find /mnt/evidence/tmp/ /mnt/evidence/dev/shm/ -type f 2>/dev/null \
-exec file {} \; > /cases/case-2024-001/linux/analysis/tmp_files.txt
# Check for hidden files and directories
find /mnt/evidence/ -name ".*" -not -path "*/\." -type f 2>/dev/null | \
head -100 > /cases/case-2024-001/linux/analysis/hidden_files.txt
# Check kernel modules
ls -la /mnt/evidence/lib/modules/$(ls /mnt/evidence/lib/modules/ | head -1)/extra/ 2>/dev/null \
> /cases/case-2024-001/linux/analysis/extra_modules.txt
# Check for modified PAM configuration (authentication backdoors)
diff /mnt/evidence/etc/pam.d/ /cases/baseline/pam.d/ 2>/dev/null \
> /cases/case-2024-001/linux/analysis/pam_changes.txt| Concept | Description |
|---|---|
| /var/log/auth.log | Primary authentication log on Debian/Ubuntu systems |
| /var/log/secure | Primary authentication log on RHEL/CentOS systems |
| wtmp/btmp | Binary logs recording successful and failed login sessions |
| .bash_history | User command history file (can be cleared by attackers) |
| crontab | Scheduled task system commonly used for persistence |
| authorized_keys | SSH public keys granting passwordless access to an account |
| SUID bit | File permission allowing execution as the file owner (privilege escalation vector) |
| LD_PRELOAD | Environment variable that loads a shared library before all others (hooking technique) |
| Tool | Purpose |
|---|---|
| chkrootkit | Rootkit detection scanner for Linux systems |
| rkhunter | Rootkit Hunter - checks for rootkits, backdoors, and local exploits |
| AIDE | Advanced Intrusion Detection Environment - file integrity monitor |
| auditd | Linux audit framework for system call and file access monitoring |
| last/lastb | Parse wtmp/btmp for login and failed login history |
| Plaso/log2timeline | Super-timeline creation including Linux artifacts |
| osquery | SQL-based system querying for live forensic investigation |
| Velociraptor | Endpoint agent with Linux artifact collection capabilities |
Scenario 1: SSH Brute Force Followed by Compromise Analyze auth.log for failed SSH attempts followed by success, identify the attacking IP, check .bash_history for post-compromise commands, examine authorized_keys for added backdoor keys, check crontab for persistence, review network connections.
Scenario 2: Web Server Compromise via Application Vulnerability Examine web server access and error logs for exploitation attempts, check /tmp and /dev/shm for webshells, analyze the web server user's activity (www-data), check for privilege escalation via SUID binaries or kernel exploits, review outbound connections.
Scenario 3: Insider Threat on Database Server Analyze the suspect user's bash_history for database dump commands, check for large tar/zip files in home directory or /tmp, examine scp/rsync commands for data transfer, review cron jobs for automated exfiltration, check USB device logs.
Scenario 4: Crypto-Miner on Cloud Instance Check for high-CPU processes in /proc (live) or systemd service files, examine crontab entries for miner restart scripts, check /tmp for mining binaries, analyze network connections for mining pool communications, review authorized_keys for attacker access.
Linux Forensics Summary:
System: webserver01 (Ubuntu 22.04 LTS)
Hostname: webserver01.corp.local
Kernel: 5.15.0-91-generic
User Accounts:
Total: 25 (3 with UID 0 - 1 ANOMALOUS)
Interactive shells: 8 users
Recently created: admin2 (created 2024-01-15)
Authentication Events:
Successful SSH logins: 456
Failed SSH attempts: 12,345 (from 23 unique IPs)
Sudo executions: 89
Persistence Mechanisms Found:
Cron jobs: 3 suspicious (reverse shell, miner restart)
Systemd services: 1 unknown (update-checker.service)
SSH keys: 2 unauthorized keys in root authorized_keys
rc.local: Modified with download cradle
Suspicious Activity:
- bash_history contains wget to pastebin URL
- SUID binary /tmp/.hidden/escalate found
- /dev/shm/ contains compiled ELF binary
- LD_PRELOAD in /etc/ld.so.preload pointing to /lib/.hidden.so
Report: /cases/case-2024-001/linux/analysis/© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (scripts, references) in skills/analyzing-linux-system-artifacts of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
Analyzing Linux System Artifacts next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Analyzing Linux System Artifacts this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~3.7k | Automated safety check: Pass | Apache-2.0 | |
| Shadowvpn Deploy Clientmadeye/shadowvpn | 101 | — | ~2.4k | Automated safety check: Notes | MIT | |
| Nextclaw AutostartPeiiii/nextclaw | 260 | — | ~943 | Automated safety check: Notes | MIT | |
| Openbkn Deployopenbkn-ai/bkn-foundry | 629 | — | ~1.9k | Automated safety check: Notes | Custom licence | |
| Aliyun Swas Managecinience/alicloud-skills | 397 | 1 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Minimegasandia-minimega/minimega | 160 | — | ~3.2k | Automated safety check: Pass | GPL-3.0-only |
madeye/shadowvpn
Deploy, install, and run the ShadowVPN client in a target environment — Linux (systemd), macOS (launchd), or Windows (Wintun, foreground launcher or scheduled-task service).
Peiiii/nextclaw
A skill your agent uses when the user asks about NextClaw autostart, auto-start on login or reboot, daemon/service registration, LaunchAgent, systemd, Windows Scheduled Task, service autostart…
openbkn-ai/bkn-foundry
Deploy or upgrade OpenBKN on a customer-authorized Linux server through the repository's deploy scripts, with preflight checks, explicit confirmation, secret handling, and post-deployment…
cinience/alicloud-skills
A skill your agent uses when managing Alibaba Cloud Simple Application Server (SWAS OpenAPI 2020-06-01) resources end-to-end, including querying instances, starting/stopping/rebooting, executing…
sandia-minimega/minimega
This skill should be used when the user asks how to configure, run, automate, integrate, or troubleshoot minimega (VMs, namespaces, VLANs, clusters, miniccc, miniweb, command socket or Python API…
drawthingsai/draw-things-community
Set up and verify a new Draw Things CPU proxy and Envoy server using the scripts in Scripts/ServerManagement/CPUScript.
mukul975/Anthropic-Cybersecurity-Skills
Weighs infrastructure, TTP, malware code and timing evidence with the Diamond Model and competing hypotheses to reach a confidence-rated attribution.
mukul975/Anthropic-Cybersecurity-Skills
Walks through reverse engineering Go-compiled malware in Ghidra: parsing buildinfo and pclntab, recovering stripped function names and extracting dependencies.
mukul975/Anthropic-Cybersecurity-Skills
Guides forensic analysis of Windows LNK shortcut files and Jump Lists with LECmd, JLECmd and manual parsing to show file access and program execution.
mukul975/Anthropic-Cybersecurity-Skills
Hunts Windows malware persistence with Sysinternals Autoruns, covering run keys, services, scheduled tasks and drivers, with baseline comparison.
mukul975/Anthropic-Cybersecurity-Skills
Guides a Windows forensic examination of the NTFS Master File Table to recover deleted-file evidence, build timelines and spot timestomping.
mukul975/Anthropic-Cybersecurity-Skills
Detects DNS tunneling, ICMP exfiltration and HTTP-based covert channels in packet captures and DNS logs when hunting for hidden command-and-control traffic.
Works with
Categories
Examine Linux system artifacts (auth logs, cron/systemd persistence, shell history, SSH keys, and system configuration) to uncover evidence of compromise, detect rootkits or backdoors, and…. Analyzing Linux System Artifacts is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Examine Linux system artifacts (auth logs, cron/systemd persistence, shell history, SSH keys, and system configuration) to uncover evidence of compromise, detect rootkits or backdoors, and reconstruct user/attacker activity.
Analyzing Linux System Artifacts fits situations like: investigating a compromised Linux server; hunting for persistence mechanisms; scoping a Linux-based breach during incident response.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-linux-system-artifacts -a claude-code`. Or copy the skill folder (skills/analyzing-linux-system-artifacts in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/analyzing-linux-system-artifacts in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-linux-system-artifacts -a codex`. Or copy the skill folder (skills/analyzing-linux-system-artifacts in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/analyzing-linux-system-artifacts in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-linux-system-artifacts -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyzing-linux-system-artifacts, .gemini/skills/analyzing-linux-system-artifacts, .github/skills/analyzing-linux-system-artifacts and .opencode/skills/analyzing-linux-system-artifacts in your project.
Going by SKILL.md and its folder, Analyzing Linux System Artifacts needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and ssh). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use ssh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Analyzing Linux System Artifacts is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.7k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 873 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Analyzing Linux System Artifacts: Shadowvpn Deploy Client (madeye/shadowvpn, 101 stars), Nextclaw Autostart (Peiiii/nextclaw, 260 stars), Openbkn Deploy (openbkn-ai/bkn-foundry, 629 stars) and Aliyun Swas Manage (cinience/alicloud-skills, 397 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 33,870 GitHub stars. The repository holds 639 skills in this directory. The repository was last updated on August 31, 2026.
Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.