Forensics Osquery
AgentSecOps/SecOpsAgentKit
SQL-powered forensic investigation and system interrogation using osquery to query operating systems as relational databases.
Agent skill
Analyzing Memory Forensics With Lime And Volatility
Performs Linux memory acquisition using LiME (Linux Memory Extractor) kernel module and analysis with Volatility 3 framework.
Install Analyzing Memory Forensics With Lime And Volatility
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-memory-forensics-with-lime-and-volatility -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-memory-forensics-with-lime-and-volatility --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-memory-forensics-with-lime-and-volatility .claude/skills/analyzing-memory-forensics-with-lime-and-volatility && 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-memory-forensics-with-lime-and-volatility" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-memory-forensics-with-lime-and-volatility into .claude/skills/analyzing-memory-forensics-with-lime-and-volatility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-memory-forensics-with-lime-and-volatility", 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-memory-forensics-with-lime-and-volatilityType 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-memory-forensics-with-lime-and-volatility -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-memory-forensics-with-lime-and-volatility --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-memory-forensics-with-lime-and-volatility .agents/skills/analyzing-memory-forensics-with-lime-and-volatility && 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-memory-forensics-with-lime-and-volatility" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-memory-forensics-with-lime-and-volatility into .agents/skills/analyzing-memory-forensics-with-lime-and-volatility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-memory-forensics-with-lime-and-volatility", 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-memory-forensics-with-lime-and-volatility -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-memory-forensics-with-lime-and-volatility --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-memory-forensics-with-lime-and-volatility .cursor/skills/analyzing-memory-forensics-with-lime-and-volatility && 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-memory-forensics-with-lime-and-volatility" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-memory-forensics-with-lime-and-volatility into .cursor/skills/analyzing-memory-forensics-with-lime-and-volatility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-memory-forensics-with-lime-and-volatility", 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-memory-forensics-with-lime-and-volatility--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-memory-forensics-with-lime-and-volatility -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-memory-forensics-with-lime-and-volatility --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-memory-forensics-with-lime-and-volatility .gemini/skills/analyzing-memory-forensics-with-lime-and-volatility && 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-memory-forensics-with-lime-and-volatility" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-memory-forensics-with-lime-and-volatility into .gemini/skills/analyzing-memory-forensics-with-lime-and-volatility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-memory-forensics-with-lime-and-volatility", 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-memory-forensics-with-lime-and-volatilityInstalls 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-memory-forensics-with-lime-and-volatility -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-memory-forensics-with-lime-and-volatility .github/skills/analyzing-memory-forensics-with-lime-and-volatility && 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-memory-forensics-with-lime-and-volatility" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-memory-forensics-with-lime-and-volatility into .github/skills/analyzing-memory-forensics-with-lime-and-volatility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-memory-forensics-with-lime-and-volatility", 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-memory-forensics-with-lime-and-volatility -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-memory-forensics-with-lime-and-volatility --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-memory-forensics-with-lime-and-volatility .opencode/skills/analyzing-memory-forensics-with-lime-and-volatility && 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-memory-forensics-with-lime-and-volatility" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-memory-forensics-with-lime-and-volatility into .opencode/skills/analyzing-memory-forensics-with-lime-and-volatility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-memory-forensics-with-lime-and-volatility", 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.
Facts
- Skill name
analyzing-memory-forensics-with-lime-and-volatility- GitHub stars
- 34k
- Token cost
- ~631 tokens
- SKILL.md length
- 146 words
- Files
- 4 (incl. scripts, references)
- Skills in repo
- 644
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Performs Linux memory acquisition using LiME (Linux Memory Extractor) kernel module and analysis with Volatility 3 framework.
- Works in 5 steps: Acquire memory with LiME (format=lime or… → List processes with linux.pslist,… → Extract bash command history with… → …
- Performing incident response on compromised Linux systems
- SKILL.md covers When to Use, Prerequisites, Instructions and Examples
- Runs Python scripts from its folder
What it does
Analyzing Memory Forensics With Lime And Volatility is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Performs Linux memory acquisition using LiME (Linux Memory Extractor) kernel module and analysis with Volatility 3 framework. Extracts process lists, network connections, bash history, loaded kernel modules, and injected code from Linux memory images. Use when performing incident response on compromised Linux systems.
Its SKILL.md is about 630 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 Incident response. It works with Linux and Bash. 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.
When your agent uses it
- Performing incident response on compromised Linux systems
- Tasks that involve Digital forensics
- Tasks that involve Incident response
Example prompts
- “Use the analyzing-memory-forensics-with-lime-and-volatility skill to perform Linux memory acquisition using LiME (Linux Memory Extractor) kernel…”
- “/analyzing-memory-forensics-with-lime-and-volatility”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Acquire memory with LiME (format=lime or format=raw)
- List processes with linux.pslist, compare with linux.psscan
- Extract bash command history with linux.bash
- List network connections with linux.sockstat
- Check loaded kernel modules with linux.lsmod for rootkits
What it can do on your machine
Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Analyzing Memory Forensics With Lime And Volatility loads about 631 tokens when it runs, and up to ~1k if it reads all its reference files. Until then it costs about 93 tokens; SKILL.md has 146 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 146 words, ~631 tokens.
Download SKILL.mdSave it as
.claude/skills/analyzing-memory-forensics-with-lime-and-volatility/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- analyzing-memory-forensics-with-lime-and-volatility
- description
- Performs Linux memory acquisition using LiME (Linux Memory Extractor) kernel module and analysis with Volatility 3 framework. Extracts process lists, network connections, bash history, loaded kernel modules, and injected code from Linux memory images. Use when performing incident response on compromised Linux systems.
- domain
- cybersecurity
- subdomain
- security-operations
- tags
- memory-forensics, linux-forensics, lime, volatility, incident-response, kernel-modules
- version
- 1.0
- author
- mahipal
- license
- Apache-2.0
- nist_csf
- DE.CM-01, RS.MA-01, GV.OV-01, DE.AE-02
- mitre_attack
- T1055, T1003.001, T1620, T1564.001
Analyzing Memory Forensics with LiME and Volatility
When to Use
- When investigating security incidents that require analyzing memory forensics with lime and volatility
- When building detection rules or threat hunting queries for this domain
- When SOC analysts need structured procedures for this analysis type
- When validating security monitoring coverage for related attack techniques
Prerequisites
- Familiarity with security operations concepts and tools
- Access to a test or lab environment for safe execution
- Python 3.8+ with required dependencies installed
- Appropriate authorization for any testing activities
Instructions
Acquire Linux memory using LiME kernel module, then analyze with Volatility 3 to extract forensic artifacts from the memory image.
# LiME acquisition
insmod lime-$(uname -r).ko "path=/evidence/memory.lime format=lime"
# Volatility 3 analysis
vol3 -f /evidence/memory.lime linux.pslist
vol3 -f /evidence/memory.lime linux.bash
vol3 -f /evidence/memory.lime linux.sockstatimport volatility3
from volatility3.framework import contexts, automagic
from volatility3.plugins.linux import pslist, bash, sockstat
# Programmatic Volatility 3 usage
context = contexts.Context()
automagics = automagic.available(context)Key analysis steps:
- Acquire memory with LiME (format=lime or format=raw)
- List processes with linux.pslist, compare with linux.psscan
- Extract bash command history with linux.bash
- List network connections with linux.sockstat
- Check loaded kernel modules with linux.lsmod for rootkits
Examples
# Full forensic workflow
vol3 -f memory.lime linux.pslist | grep -v "\[kthread\]"
vol3 -f memory.lime linux.bash
vol3 -f memory.lime linux.malfind
vol3 -f memory.lime linux.lsmod© 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
Files
SKILL.md and 3 other files (scripts, references) in skills/analyzing-memory-forensics-with-lime-and-volatility of mukul975/Anthropic-Cybersecurity-Skills.
- SKILL.md
- LICENSE
- references/api-reference.md
- scripts/agent.py
Open the folder on GitHubat commit 54a7988
Compare with similar skills
Analyzing Memory Forensics With Lime And Volatility 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 Memory Forensics With Lime And Volatility this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~631 | Automated safety check: Pass | Apache-2.0 | |
| Forensics OsqueryAgentSecOps/SecOpsAgentKit | 220 | 1 repos | ~4.9k | Automated safety check: Notes | Custom licence | |
| Incident Response NetworkLeoYeAI/openclaw-master-skills | 2.2k | — | ~5k | Automated safety check: Pass | Apache-2.0 | |
| Sentinelvinayaklatthe/microsoft-security-skills | 175 | — | ~2.2k | Automated safety check: Pass | MIT | |
| Incident Responsehypnguyen1209/offensive-claude | 388 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Ir VelociraptorAgentSecOps/SecOpsAgentKit | 220 | 1 repos | ~3.1k | Automated safety check: Pass | Custom licence |
Similar skills
Incident Response Network
LeoYeAI/openclaw-master-skills
Network forensics evidence collection and analysis during security incidents.
Sentinel
vinayaklatthe/microsoft-security-skills
Guidance for designing and operating Microsoft Sentinel, the cloud-native SIEM and SOAR delivered through the Defender portal.
Incident Response
hypnguyen1209/offensive-claude
A skill your agent uses when responding to or forensically investigating an incident — triage acquisition (Velociraptor/KAPE), Volatility 3 memory forensics, Chainsaw/Hayabusa EVTX timelining…
Ir Velociraptor
AgentSecOps/SecOpsAgentKit
Endpoint visibility, digital forensics, and incident response using Velociraptor Query Language (VQL) for evidence collection and threat hunting at scale.
Linux Platform Security
gmh5225/awesome-game-security
Analyze Linux, SteamOS, Steam Deck, Wine, or Proton game-security boundaries.
More from mukul975/Anthropic-Cybersecurity-Skills
All 644 skills in this repoCampaign Attribution Evidence Analysis
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.
Go Malware Analysis in Ghidra
mukul975/Anthropic-Cybersecurity-Skills
Walks through reverse engineering Go-compiled malware in Ghidra: parsing buildinfo and pclntab, recovering stripped function names and extracting dependencies.
LNK and Jump List Forensics
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.
Malware Persistence Analysis with Autoruns
mukul975/Anthropic-Cybersecurity-Skills
Hunts Windows malware persistence with Sysinternals Autoruns, covering run keys, services, scheduled tasks and drivers, with baseline comparison.
NTFS MFT Deleted File Recovery
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.
Network Covert Channel Analysis
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.
Related
Categories
Questions about Analyzing Memory Forensics With Lime And Volatility
What does Analyzing Memory Forensics With Lime And Volatility do?
Performs Linux memory acquisition using LiME (Linux Memory Extractor) kernel module and analysis with Volatility 3 framework. Analyzing Memory Forensics With Lime And Volatility is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Performs Linux memory acquisition using LiME (Linux Memory Extractor) kernel module and analysis with Volatility 3 framework.
When should I use Analyzing Memory Forensics With Lime And Volatility?
Analyzing Memory Forensics With Lime And Volatility fits situations like: performing incident response on compromised Linux systems; tasks that involve Digital forensics; tasks that involve Incident response.
How do I install Analyzing Memory Forensics With Lime And Volatility in Claude Code?
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-memory-forensics-with-lime-and-volatility -a claude-code`. Or copy the skill folder (skills/analyzing-memory-forensics-with-lime-and-volatility in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/analyzing-memory-forensics-with-lime-and-volatility in your project. Claude Code loads it when a task matches its description.
How do I install Analyzing Memory Forensics With Lime And Volatility in Codex?
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-memory-forensics-with-lime-and-volatility -a codex`. Or copy the skill folder (skills/analyzing-memory-forensics-with-lime-and-volatility in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/analyzing-memory-forensics-with-lime-and-volatility in your project. Codex loads it when a task matches its description.
Can I use Analyzing Memory Forensics With Lime And Volatility in Cursor, Gemini CLI or GitHub Copilot?
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-memory-forensics-with-lime-and-volatility -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-memory-forensics-with-lime-and-volatility, .gemini/skills/analyzing-memory-forensics-with-lime-and-volatility, .github/skills/analyzing-memory-forensics-with-lime-and-volatility and .opencode/skills/analyzing-memory-forensics-with-lime-and-volatility in your project.
What does Analyzing Memory Forensics With Lime And Volatility need to run?
Going by SKILL.md and its folder, Analyzing Memory Forensics With Lime And Volatility needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Analyzing Memory Forensics With Lime And Volatility access the network?
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.
Is Analyzing Memory Forensics With Lime And Volatility safe to install?
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.
What licence does Analyzing Memory Forensics With Lime And Volatility use?
Analyzing Memory Forensics With Lime And Volatility 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.
How many tokens does Analyzing Memory Forensics With Lime And Volatility use?
About 631 tokens (SKILL.md is roughly 2.5k 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 407 tokens, read only when the agent opens those files.
What are the alternatives to Analyzing Memory Forensics With Lime And Volatility?
Skills that share tags, products or a category with Analyzing Memory Forensics With Lime And Volatility: Forensics Osquery (AgentSecOps/SecOpsAgentKit, 220 stars), Incident Response Network (LeoYeAI/openclaw-master-skills, 2.2k stars), Sentinel (vinayaklatthe/microsoft-security-skills, 175 stars) and Incident Response (hypnguyen1209/offensive-claude, 388 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Analyzing Memory Forensics With Lime And Volatility?
mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 33,993 GitHub stars. The repository holds 644 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.