Forensics Osquery
AgentSecOps/SecOpsAgentKit
SQL-powered forensic investigation and system interrogation using osquery to query operating systems as relational databases.
Agent skill
Analyze memory dumps using Volatility3 plugins to detect injected code, rootkits, credential theft, and malware artifacts in Windows, Linux, and macOS memory images.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-memory-forensics-with-volatility3-plugins -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-memory-forensics-with-volatility3-plugins --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/performing-memory-forensics-with-volatility3-plugins .claude/skills/performing-memory-forensics-with-volatility3-plugins && 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 "performing-memory-forensics-with-volatility3-plugins" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-memory-forensics-with-volatility3-plugins into .claude/skills/performing-memory-forensics-with-volatility3-plugins/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-memory-forensics-with-volatility3-plugins", 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/performing-memory-forensics-with-volatility3-pluginsType 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 performing-memory-forensics-with-volatility3-plugins -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-memory-forensics-with-volatility3-plugins --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/performing-memory-forensics-with-volatility3-plugins .agents/skills/performing-memory-forensics-with-volatility3-plugins && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "performing-memory-forensics-with-volatility3-plugins" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-memory-forensics-with-volatility3-plugins into .agents/skills/performing-memory-forensics-with-volatility3-plugins/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-memory-forensics-with-volatility3-plugins", 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 performing-memory-forensics-with-volatility3-plugins -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-memory-forensics-with-volatility3-plugins --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/performing-memory-forensics-with-volatility3-plugins .cursor/skills/performing-memory-forensics-with-volatility3-plugins && 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 "performing-memory-forensics-with-volatility3-plugins" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-memory-forensics-with-volatility3-plugins into .cursor/skills/performing-memory-forensics-with-volatility3-plugins/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-memory-forensics-with-volatility3-plugins", 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/performing-memory-forensics-with-volatility3-plugins--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 performing-memory-forensics-with-volatility3-plugins -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-memory-forensics-with-volatility3-plugins --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/performing-memory-forensics-with-volatility3-plugins .gemini/skills/performing-memory-forensics-with-volatility3-plugins && 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 "performing-memory-forensics-with-volatility3-plugins" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-memory-forensics-with-volatility3-plugins into .gemini/skills/performing-memory-forensics-with-volatility3-plugins/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-memory-forensics-with-volatility3-plugins", 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 performing-memory-forensics-with-volatility3-pluginsInstalls 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 performing-memory-forensics-with-volatility3-plugins -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/performing-memory-forensics-with-volatility3-plugins .github/skills/performing-memory-forensics-with-volatility3-plugins && 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 "performing-memory-forensics-with-volatility3-plugins" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-memory-forensics-with-volatility3-plugins into .github/skills/performing-memory-forensics-with-volatility3-plugins/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-memory-forensics-with-volatility3-plugins", 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 performing-memory-forensics-with-volatility3-plugins -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 performing-memory-forensics-with-volatility3-plugins --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/performing-memory-forensics-with-volatility3-plugins .opencode/skills/performing-memory-forensics-with-volatility3-plugins && 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 "performing-memory-forensics-with-volatility3-plugins" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-memory-forensics-with-volatility3-plugins into .opencode/skills/performing-memory-forensics-with-volatility3-plugins/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-memory-forensics-with-volatility3-plugins", 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.
performing-memory-forensics-with-volatility3-pluginsAnalyze memory dumps using Volatility3 plugins to detect injected code, rootkits, credential theft, and malware artifacts in Windows, Linux, and macOS memory images.
Performing Memory Forensics With Volatility3 Plugins is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Analyze memory dumps using Volatility3 plugins to detect injected code, rootkits, credential theft, and malware artifacts in Windows, Linux, and macOS memory images.
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `assets/template.md`, `references/api-reference.md` and `references/standards.md`).
It sits in Security, covering Digital forensics. It works with Linux and macOS. 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.
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 2 files in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
volatilityfoundation.orggithub.comnewtonpaul.comattack.mitre.orgFrom 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.
Performing Memory Forensics With Volatility3 Plugins loads about 2.1k tokens when it runs, and up to ~3.1k if it reads all its reference files. Until then it costs about 55 tokens; SKILL.md has 237 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). 237 words, ~2,133 tokens.
.claude/skills/performing-memory-forensics-with-volatility3-plugins/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.Volatility3 (v2.26.0+, feature parity release May 2025) is the standard framework for memory forensics, replacing the deprecated Volatility2. It analyzes RAM dumps from Windows, Linux, and macOS to detect malicious processes, code injection, rootkits, credential harvesting, and network connections that disk-based forensics cannot reveal. Key plugins include windows.malfind (detecting RWX memory regions indicating injection), windows.psscan (finding hidden processes), windows.dlllist (enumerating loaded modules), windows.netscan (active network connections), and windows.handles (open file/registry handles). The 2024 Plugin Contest introduced ETW Scan for extracting Event Tracing for Windows data from memory.
volatility3 framework installed.raw, .dmp, .vmem, .lime)#!/usr/bin/env python3
"""Volatility3-based memory forensics automation for malware analysis."""
import subprocess
import json
import sys
import os
class Vol3Analyzer:
"""Automate Volatility3 plugin execution for malware analysis."""
def __init__(self, dump_path, vol3_path="vol"):
self.dump_path = dump_path
self.vol3 = vol3_path
self.results = {}
def run_plugin(self, plugin, extra_args=None):
"""Execute a Volatility3 plugin and capture output."""
cmd = [
self.vol3, "-f", self.dump_path,
"-r", "json", plugin,
]
if extra_args:
cmd.extend(extra_args)
try:
result = subprocess.run(
cmd, capture_output=True, text=True, timeout=300
)
if result.returncode == 0:
return json.loads(result.stdout)
except (subprocess.TimeoutExpired, json.JSONDecodeError) as e:
print(f" [!] {plugin} failed: {e}")
return None
def detect_process_injection(self):
"""Use malfind to detect injected code regions."""
print("[+] Running windows.malfind (code injection detection)")
results = self.run_plugin("windows.malfind")
injected = []
if results:
for entry in results:
injected.append({
"pid": entry.get("PID"),
"process": entry.get("Process"),
"address": entry.get("Start VPN"),
"protection": entry.get("Protection"),
"hexdump": entry.get("Hexdump", "")[:200],
})
print(f" [!] Injection in PID {entry.get('PID')} "
f"({entry.get('Process')}) at {entry.get('Start VPN')}")
self.results["injected_processes"] = injected
return injected
def find_hidden_processes(self):
"""Compare pslist vs psscan to find hidden processes."""
print("[+] Running process comparison (pslist vs psscan)")
pslist = self.run_plugin("windows.pslist")
psscan = self.run_plugin("windows.psscan")
if not pslist or not psscan:
return []
list_pids = {e.get("PID") for e in pslist}
scan_pids = {e.get("PID") for e in psscan}
hidden = scan_pids - list_pids
if hidden:
print(f" [!] {len(hidden)} hidden processes found!")
for entry in psscan:
if entry.get("PID") in hidden:
print(f" PID {entry['PID']}: {entry.get('ImageFileName')}")
self.results["hidden_processes"] = list(hidden)
return list(hidden)
def analyze_network(self):
"""Extract active network connections."""
print("[+] Running windows.netscan")
results = self.run_plugin("windows.netscan")
connections = []
if results:
for entry in results:
conn = {
"pid": entry.get("PID"),
"process": entry.get("Owner"),
"local": f"{entry.get('LocalAddr')}:{entry.get('LocalPort')}",
"remote": f"{entry.get('ForeignAddr')}:{entry.get('ForeignPort')}",
"state": entry.get("State"),
"protocol": entry.get("Proto"),
}
connections.append(conn)
self.results["network_connections"] = connections
return connections
def extract_dlls(self, pid=None):
"""List loaded DLLs per process."""
print(f"[+] Running windows.dlllist{f' (PID {pid})' if pid else ''}")
args = ["--pid", str(pid)] if pid else None
results = self.run_plugin("windows.dlllist", args)
dlls = []
if results:
for entry in results:
dlls.append({
"pid": entry.get("PID"),
"process": entry.get("Process"),
"base": entry.get("Base"),
"name": entry.get("Name"),
"path": entry.get("Path"),
"size": entry.get("Size"),
})
self.results["loaded_dlls"] = dlls
return dlls
def scan_with_yara(self, rules_path):
"""Scan memory with YARA rules."""
print(f"[+] Running windows.yarascan with {rules_path}")
results = self.run_plugin(
"windows.yarascan",
["--yara-file", rules_path]
)
matches = []
if results:
for entry in results:
matches.append({
"rule": entry.get("Rule"),
"pid": entry.get("PID"),
"process": entry.get("Process"),
"offset": entry.get("Offset"),
})
self.results["yara_matches"] = matches
return matches
def full_triage(self):
"""Run full malware-focused memory triage."""
print(f"[*] Full memory triage: {self.dump_path}")
print("=" * 60)
self.detect_process_injection()
self.find_hidden_processes()
self.analyze_network()
return self.results
if __name__ == "__main__":
if len(sys.argv) < 2:
print(f"Usage: {sys.argv[0]} <memory_dump>")
sys.exit(1)
analyzer = Vol3Analyzer(sys.argv[1])
results = analyzer.full_triage()
print(json.dumps(results, indent=2, default=str))© 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 7 other files (scripts, references, assets) in skills/performing-memory-forensics-with-volatility3-plugins of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
Performing Memory Forensics With Volatility3 Plugins 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 |
|---|---|---|---|---|---|---|
| Performing Memory Forensics With Volatility3 Plugins this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Forensics OsqueryAgentSecOps/SecOpsAgentKit | 219 | 1 repos | ~4.9k | Automated safety check: Notes | Custom licence | |
| Re Disk Forensicsdslsdzc/rev-skills | 117 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Runtime Memory Sample Acquisitiondslsdzc/rev-skills | 117 | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Game Automationrehan-remade/universal-modder | 4.7k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Ctf Cryptoljagiello/ctf-skills | 3.4k | — | ~11k | Automated safety check: Notes | MIT |
AgentSecOps/SecOpsAgentKit
SQL-powered forensic investigation and system interrogation using osquery to query operating systems as relational databases.
dslsdzc/rev-skills
磁盘/文件系统取证:删除恢复、时间线、可疑文件定位. An agent skill from dslsdzc/rev-skills.
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.
rehan-remade/universal-modder
Launch, see and drive a real game so an agent can test its own mods.
ljagiello/ctf-skills
Provides cryptography attack techniques for CTF challenges. An agent skill from ljagiello/ctf-skills.
cdxgen/cdxgen
Collects live operating-system inventory (OBOM) and host hardware inventory (HBOM) as CycloneDX documents using the cdxgen obom and hbom commands, including osquery-backed runtime artifacts, Linux…
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
Analyze memory dumps using Volatility3 plugins to detect injected code, rootkits, credential theft, and malware artifacts in Windows, Linux, and macOS memory images. Performing Memory Forensics With Volatility3 Plugins is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Analyze memory dumps using Volatility3 plugins to detect injected code, rootkits, credential theft, and malware artifacts in Windows, Linux, and macOS memory images.
Performing Memory Forensics With Volatility3 Plugins fits situations like: tasks that involve Digital forensics.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-memory-forensics-with-volatility3-plugins -a claude-code`. Or copy the skill folder (skills/performing-memory-forensics-with-volatility3-plugins in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/performing-memory-forensics-with-volatility3-plugins in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-memory-forensics-with-volatility3-plugins -a codex`. Or copy the skill folder (skills/performing-memory-forensics-with-volatility3-plugins in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/performing-memory-forensics-with-volatility3-plugins 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 performing-memory-forensics-with-volatility3-plugins -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/performing-memory-forensics-with-volatility3-plugins, .gemini/skills/performing-memory-forensics-with-volatility3-plugins, .github/skills/performing-memory-forensics-with-volatility3-plugins and .opencode/skills/performing-memory-forensics-with-volatility3-plugins in your project.
Going by SKILL.md and its folder, Performing Memory Forensics With Volatility3 Plugins needs Python for the scripts in its folder. Our summary lists: Python 3.
SKILL.md names 4 domains. As links in the text: volatilityfoundation.org, github.com, newtonpaul.com and attack.mitre.org. 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.
Performing Memory Forensics With Volatility3 Plugins 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 2.1k tokens (SKILL.md is roughly 8.5k 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 926 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Performing Memory Forensics With Volatility3 Plugins: Forensics Osquery (AgentSecOps/SecOpsAgentKit, 219 stars), Re Disk Forensics (dslsdzc/rev-skills, 117 stars), Runtime Memory Sample Acquisition (dslsdzc/rev-skills, 117 stars) and Game Automation (rehan-remade/universal-modder, 4.7k 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.