Ctf Malware
ljagiello/ctf-skills
Provides malware analysis and network traffic techniques for CTF challenges.
Detects rootkit presence on compromised systems by identifying hidden processes, hooked system calls, modified kernel structures, and covert network connections using Volatility memory forensics…
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-rootkit-activity -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-rootkit-activity --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/detecting-rootkit-activity .claude/skills/detecting-rootkit-activity && 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 "detecting-rootkit-activity" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-rootkit-activity into .claude/skills/detecting-rootkit-activity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-rootkit-activity", 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/detecting-rootkit-activityType 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 detecting-rootkit-activity -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-rootkit-activity --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/detecting-rootkit-activity .agents/skills/detecting-rootkit-activity && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "detecting-rootkit-activity" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-rootkit-activity into .agents/skills/detecting-rootkit-activity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-rootkit-activity", 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 detecting-rootkit-activity -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-rootkit-activity --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/detecting-rootkit-activity .cursor/skills/detecting-rootkit-activity && 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 "detecting-rootkit-activity" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-rootkit-activity into .cursor/skills/detecting-rootkit-activity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-rootkit-activity", 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/detecting-rootkit-activity--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 detecting-rootkit-activity -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-rootkit-activity --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/detecting-rootkit-activity .gemini/skills/detecting-rootkit-activity && 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 "detecting-rootkit-activity" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-rootkit-activity into .gemini/skills/detecting-rootkit-activity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-rootkit-activity", 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 detecting-rootkit-activityInstalls 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 detecting-rootkit-activity -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/detecting-rootkit-activity .github/skills/detecting-rootkit-activity && 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 "detecting-rootkit-activity" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-rootkit-activity into .github/skills/detecting-rootkit-activity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-rootkit-activity", 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 detecting-rootkit-activity -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 detecting-rootkit-activity --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/detecting-rootkit-activity .opencode/skills/detecting-rootkit-activity && 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 "detecting-rootkit-activity" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-rootkit-activity into .opencode/skills/detecting-rootkit-activity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-rootkit-activity", 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.
detecting-rootkit-activityDetects rootkit presence on compromised systems by identifying hidden processes, hooked system calls, modified kernel structures, and covert network connections using Volatility memory forensics…
Detecting Rootkit Activity is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Detects rootkit presence on compromised systems by identifying hidden processes, hooked system calls, modified kernel structures, and covert network connections using Volatility memory forensics, cross-view detection, and tools like GMER, rkhunter, chkrootkit, and RootkitRevealer. Use when standard tools (Task Manager, netstat, AV/EDR) show nothing abnormal but compromise is suspected.
Its SKILL.md is about 3k 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 Security, covering Digital forensics and Task management. 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.
6 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:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
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.
Detecting Rootkit Activity loads about 3k tokens when it runs, and up to ~3.6k if it reads all its reference files. Until then it costs about 104 tokens; SKILL.md has 655 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). 655 words, ~2,984 tokens.
.claude/skills/detecting-rootkit-activity/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Do not use as a first-line detection method; start with standard malware triage and escalate to rootkit analysis when hiding behavior is suspected.
Compare process lists from different data sources to find discrepancies:
# Volatility: Compare process enumeration methods
# pslist - walks ActiveProcessLinks (EPROCESS linked list - what rootkits manipulate)
vol3 -f memory.dmp windows.pslist > pslist_output.txt
# psscan - scans physical memory for EPROCESS pool tags (rootkit-resistant)
vol3 -f memory.dmp windows.psscan > psscan_output.txt
# Compare outputs to find hidden processes
python3 << 'PYEOF'
pslist_pids = set()
psscan_pids = set()
with open("pslist_output.txt") as f:
for line in f:
parts = line.split()
if len(parts) > 1 and parts[1].isdigit():
pslist_pids.add(int(parts[1]))
with open("psscan_output.txt") as f:
for line in f:
parts = line.split()
if len(parts) > 1 and parts[1].isdigit():
psscan_pids.add(int(parts[1]))
hidden = psscan_pids - pslist_pids
if hidden:
print(f"[!] HIDDEN PROCESSES DETECTED (in psscan but not pslist):")
for pid in hidden:
print(f" PID: {pid}")
else:
print("[*] No hidden processes detected via cross-view analysis")
PYEOFIdentify hooks in the System Service Descriptor Table (SSDT) and Import Address Tables:
# Check SSDT for hooked system calls
vol3 -f memory.dmp windows.ssdt
# Identify hooks pointing outside ntoskrnl.exe or win32k.sys
vol3 -f memory.dmp windows.ssdt | grep -v "ntoskrnl\|win32k"
# Check for Inline hooks (detour patching)
vol3 -f memory.dmp windows.apihooks --pid 4 # System process
# IDT (Interrupt Descriptor Table) analysis
vol3 -f memory.dmp windows.idt
# Check for IRP (I/O Request Packet) hooking on drivers
vol3 -f memory.dmp windows.driverscan
vol3 -f memory.dmp windows.driverirpTypes of Rootkit Hooks:
━━━━━━━━━━━━━━━━━━━━━
SSDT Hook: Modifies System Service Descriptor Table entries to redirect
system calls through rootkit code (filters process/file listings)
IAT Hook: Patches Import Address Table of a process to intercept API calls
before they reach the kernel
Inline Hook: Overwrites the first bytes of a function with a JMP to rootkit code
(detour/trampoline technique)
IRP Hook: Intercepts I/O Request Packets to filter disk/network operations
at the driver level
DKOM: Direct Kernel Object Manipulation - unlinking structures like
EPROCESS from the ActiveProcessLinks list without hookingIdentify unauthorized kernel drivers that may be rootkit components:
# List all loaded kernel modules
vol3 -f memory.dmp windows.modules
# Scan for drivers in memory (including hidden/unlinked)
vol3 -f memory.dmp windows.driverscan
# Compare module lists to find hidden drivers
vol3 -f memory.dmp windows.modscan > modscan.txt
vol3 -f memory.dmp windows.modules > modules.txt
# Check driver signatures and verify against known-good baselines
vol3 -f memory.dmp windows.verinfo
# Dump suspicious driver for static analysis
vol3 -f memory.dmp windows.moddump --base 0xFFFFF80012340000 --dumpIdentify files and registry keys hidden by the rootkit:
# Linux rootkit detection with rkhunter
rkhunter --check --skip-keypress --report-warnings-only
# chkrootkit scanning
chkrootkit -q
# Windows: Compare filesystem views
# Live system file listing vs Volatility filescan
vol3 -f memory.dmp windows.filescan > mem_files.txt
# Check for hidden registry keys
vol3 -f memory.dmp windows.registry.hivelist
vol3 -f memory.dmp windows.registry.printkey --key "SYSTEM\CurrentControlSet\Services"
# Look for hidden services (loaded but not in service registry)
vol3 -f memory.dmp windows.svcscan | grep -i "kernel"Find hidden network connections and backdoors:
# Memory-based network connection enumeration
vol3 -f memory.dmp windows.netscan
# Compare with live netstat (if available) to find hidden connections
# Hidden connections: present in memory but not shown by netstat
# Look for raw sockets (often used by rootkits for covert communication)
vol3 -f memory.dmp windows.netscan | grep RAW
# Check for network filter drivers (NDIS hooks)
vol3 -f memory.dmp windows.driverscan | grep -i "ndis\|tcpip\|afd"
# Analyze callback routines registered by drivers
vol3 -f memory.dmp windows.callbacksVerify system file and kernel integrity:
# Check kernel code integrity (compare in-memory kernel to on-disk copy)
vol3 -f memory.dmp windows.moddump --base 0xFFFFF80070000000 --dump
# Compare SHA-256 of dumped ntoskrnl.exe with known-good copy
# Windows: System File Checker (on live system)
sfc /scannow
# Linux: Package integrity verification
rpm -Va # RPM-based systems
debsums -c # Debian-based systems
# Compare critical system binaries
find /bin /sbin /usr/bin /usr/sbin -type f -exec sha256sum {} \; > current_hashes.txt
# Compare against baseline: diff baseline_hashes.txt current_hashes.txt
# YARA scan for known rootkit signatures
vol3 -f memory.dmp yarascan.YaraScan --yara-file rootkit_rules.yar| Term | Definition |
|---|---|
| Rootkit | Malware designed to maintain persistent, privileged access while hiding its presence from system administrators and security tools |
| DKOM | Direct Kernel Object Manipulation; technique of modifying kernel data structures (e.g., unlinking EPROCESS) to hide objects without hooking |
| SSDT Hooking | Replacing entries in the System Service Descriptor Table to intercept and filter system call results (hide processes, files, connections) |
| Inline Hooking | Patching the first instructions of a function with a jump to rootkit code; the rootkit can filter the function output before returning |
| Cross-View Detection | Comparing results from multiple enumeration methods (linked list walk vs memory scan) to identify discrepancies caused by hiding |
| Kernel Driver | Code running in kernel mode (Ring 0) with full system access; rootkits use malicious drivers to gain kernel-level control |
| Bootkits | Rootkits that infect the boot process (MBR, VBR, or UEFI firmware) to load before the operating system and security tools |
Context: An endpoint shows network beaconing to a known C2 IP in firewall logs, but the local EDR, Task Manager, and netstat show no suspicious processes or connections. A memory dump has been acquired for analysis.
Approach:
psscan and compare with pslist to identify processes hidden via DKOMwindows.ssdt to check for system call hooks that filter process and network listingswindows.malfind to detect injected code in legitimate processeswindows.netscan to find network connections hidden from user-mode toolswindows.driverscan to identify malicious kernel drivers enabling the hidingPitfalls:
ROOTKIT DETECTION ANALYSIS REPORT
====================================
Dump File: memory.dmp
System: Windows 10 21H2 x64
Analysis Tool: Volatility 3.2
CROSS-VIEW DETECTION
Process List Comparison:
pslist processes: 127
psscan processes: 129
[!] HIDDEN PROCESSES: 2
PID 6784: sysmon64.exe (hidden rootkit component)
PID 6812: netfilter.exe (hidden network filter)
SSDT HOOK ANALYSIS
[!] Entry 0x004A (NtQuerySystemInformation) hooked -> driver.sys+0x1200
[!] Entry 0x0055 (NtQueryDirectoryFile) hooked -> driver.sys+0x1400
[!] Entry 0x0119 (NtDeviceIoControlFile) hooked -> driver.sys+0x1600
Hook Target: driver.sys at 0xFFFFF800ABCD0000 (unsigned, suspicious)
KERNEL DRIVER ANALYSIS
[!] driver.sys - No digital signature, loaded at 0xFFFFF800ABCD0000
Size: 45,056 bytes
SHA-256: abc123def456...
IRP Hooks: IRP_MJ_CREATE, IRP_MJ_DEVICE_CONTROL
Registry: HKLM\SYSTEM\CurrentControlSet\Services\MalDriver
HIDDEN NETWORK CONNECTIONS
PID 6812: 10.1.5.42:49152 -> 185.220.101.42:443 (ESTABLISHED)
- Not visible via netstat or user-mode tools
- Filtered by NtDeviceIoControlFile SSDT hook
ROOTKIT CAPABILITIES
- Process hiding (DKOM + SSDT)
- File hiding (NtQueryDirectoryFile hook)
- Network connection hiding (NtDeviceIoControlFile hook)
- Kernel-mode persistence (driver service)
REMEDIATION
- Boot from clean media for offline remediation
- Remove malicious driver from offline registry
- Verify MBR/VBR/UEFI integrity for boot persistence
- Full system rebuild recommended for kernel-level compromise© 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/detecting-rootkit-activity of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
Detecting Rootkit Activity 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 |
|---|---|---|---|---|---|---|
| Detecting Rootkit Activity this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~3k | Automated safety check: Pass | Apache-2.0 | |
| Ctf Malwareljagiello/ctf-skills | 3.4k | 1 repos | ~2.1k | Automated safety check: Notes | MIT | |
| Oss ForensicsTommy-yw/RunbookHermes | 546 | 3 repos | ~5k | Automated safety check: Pass | MIT | |
| Dfirtransilienceai/communitytools | 562 | — | ~1.5k | Automated safety check: Pass | MIT | |
| TShark Traffic AnalysisAgentSecOps/SecOpsAgentKit | 220 | 1 repos | ~4.8k | Automated safety check: Notes | Custom licence | |
| Runtime Memory Sample Acquisitiondslsdzc/rev-skills | 125 | — | ~2k | Automated safety check: Pass | Apache-2.0 |
ljagiello/ctf-skills
Provides malware analysis and network traffic techniques for CTF challenges.
Tommy-yw/RunbookHermes
Supply chain investigation, evidence recovery, and forensic analysis for GitHub repositories.
transilienceai/communitytools
Digital forensics and incident response - Windows event log analysis, PCAP forensics, filesystem artifact analysis, AD attack detection, and timeline correlation.
AgentSecOps/SecOpsAgentKit
Guides authorized packet capture and analysis with TShark, Wireshark's command-line tool, for security investigations, malware detection and forensic examination of network traffic.
dslsdzc/rev-skills
Captures an analyzable sample from a live system when the target leaves no file on disk, by finding abnormal executable memory and the execution context that reached it.
zhaoxuya520/reverse-skill
A skill your agent uses for authorized digital forensics including memory dumps, disk timelines, PCAP investigation, artifact triage, and IR evidence preservation.
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.
Categories
Detects rootkit presence on compromised systems by identifying hidden processes, hooked system calls, modified kernel structures, and covert network connections using Volatility memory forensics…. Detecting Rootkit Activity is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Detects rootkit presence on compromised systems by identifying hidden processes, hooked system calls, modified kernel structures, and covert network connections using Volatility memory forensics, cross-view detection, and tools like GMER, rkhunter, chkrootkit, and RootkitRevealer.
Detecting Rootkit Activity fits situations like: standard tools (Task Manager; AV/EDR) show nothing abnormal but compromise is suspected.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-rootkit-activity -a claude-code`. Or copy the skill folder (skills/detecting-rootkit-activity in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/detecting-rootkit-activity in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-rootkit-activity -a codex`. Or copy the skill folder (skills/detecting-rootkit-activity in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/detecting-rootkit-activity 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 detecting-rootkit-activity -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/detecting-rootkit-activity, .gemini/skills/detecting-rootkit-activity, .github/skills/detecting-rootkit-activity and .opencode/skills/detecting-rootkit-activity in your project.
Going by SKILL.md and its folder, Detecting Rootkit Activity needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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.
Detecting Rootkit Activity 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 3k tokens (SKILL.md is roughly 12k 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 592 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Detecting Rootkit Activity: Ctf Malware (ljagiello/ctf-skills, 3.4k stars), Oss Forensics (Tommy-yw/RunbookHermes, 546 stars), Dfir (transilienceai/communitytools, 562 stars) and TShark Traffic Analysis (AgentSecOps/SecOpsAgentKit, 220 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 33,922 GitHub stars. The repository holds 637 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.