Forensics Osquery
AgentSecOps/SecOpsAgentKit
SQL-powered forensic investigation and system interrogation using osquery to query operating systems as relational databases.
Agent skill
Deploy and configure Velociraptor for scalable endpoint forensic artifact collection during incident response using VQL queries, hunts, and pre-built artifact packs across Windows, Linux, and macOS…
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-velociraptor-for-ir-collection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-velociraptor-for-ir-collection --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/implementing-velociraptor-for-ir-collection .claude/skills/implementing-velociraptor-for-ir-collection && 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 "implementing-velociraptor-for-ir-collection" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-velociraptor-for-ir-collection into .claude/skills/implementing-velociraptor-for-ir-collection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-velociraptor-for-ir-collection", 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/implementing-velociraptor-for-ir-collectionType 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 implementing-velociraptor-for-ir-collection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-velociraptor-for-ir-collection --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/implementing-velociraptor-for-ir-collection .agents/skills/implementing-velociraptor-for-ir-collection && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "implementing-velociraptor-for-ir-collection" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-velociraptor-for-ir-collection into .agents/skills/implementing-velociraptor-for-ir-collection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-velociraptor-for-ir-collection", 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 implementing-velociraptor-for-ir-collection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-velociraptor-for-ir-collection --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/implementing-velociraptor-for-ir-collection .cursor/skills/implementing-velociraptor-for-ir-collection && 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 "implementing-velociraptor-for-ir-collection" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-velociraptor-for-ir-collection into .cursor/skills/implementing-velociraptor-for-ir-collection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-velociraptor-for-ir-collection", 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/implementing-velociraptor-for-ir-collection--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 implementing-velociraptor-for-ir-collection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-velociraptor-for-ir-collection --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/implementing-velociraptor-for-ir-collection .gemini/skills/implementing-velociraptor-for-ir-collection && 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 "implementing-velociraptor-for-ir-collection" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-velociraptor-for-ir-collection into .gemini/skills/implementing-velociraptor-for-ir-collection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-velociraptor-for-ir-collection", 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 implementing-velociraptor-for-ir-collectionInstalls 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 implementing-velociraptor-for-ir-collection -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/implementing-velociraptor-for-ir-collection .github/skills/implementing-velociraptor-for-ir-collection && 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 "implementing-velociraptor-for-ir-collection" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-velociraptor-for-ir-collection into .github/skills/implementing-velociraptor-for-ir-collection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-velociraptor-for-ir-collection", 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 implementing-velociraptor-for-ir-collection -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 implementing-velociraptor-for-ir-collection --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/implementing-velociraptor-for-ir-collection .opencode/skills/implementing-velociraptor-for-ir-collection && 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 "implementing-velociraptor-for-ir-collection" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-velociraptor-for-ir-collection into .opencode/skills/implementing-velociraptor-for-ir-collection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-velociraptor-for-ir-collection", 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.
implementing-velociraptor-for-ir-collectionDeploy and configure Velociraptor for scalable endpoint forensic artifact collection during incident response using VQL queries, hunts, and pre-built artifact packs across Windows, Linux, and macOS…
Implementing Velociraptor For Ir Collection is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Deploy and configure Velociraptor for scalable endpoint forensic artifact collection during incident response using VQL queries, hunts, and pre-built artifact packs across Windows, Linux, and macOS environments.
Its SKILL.md is about 2.3k 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 DevOps & Cloud, covering Incident response. 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.
Shell commands in SKILL.md call:
wgetdockerFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
github.comAlso links to:
docs.velociraptor.apprapid7.comcisa.govpentestpartners.comFrom 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.
Implementing Velociraptor For Ir Collection loads about 2.3k tokens when it runs, and up to ~4.7k if it reads all its reference files. Until then it costs about 64 tokens; SKILL.md has 318 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 noted patterns worth knowing about, such as sudo or a known installer.
sudo cp velociraptor-linux-amd64 /usr/local/bin/velociraptorsudo velociraptor --config /etc/velociraptor/server.config.yaml service installAutomated 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). 318 words, ~2,303 tokens.
.claude/skills/implementing-velociraptor-for-ir-collection/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.Velociraptor is an advanced open-source endpoint monitoring, digital forensics, and incident response platform developed by Rapid7. It uses the Velociraptor Query Language (VQL) to create custom artifacts that collect, query, and monitor almost any aspect of an endpoint. Velociraptor enables incident response teams to rapidly collect and examine forensic artifacts from across a network, supporting large-scale deployments with minimal performance impact. The client-server architecture with Fleetspeak communication enables real-time data collection from thousands of endpoints simultaneously, with offline endpoints picking up hunts when they reconnect.
# Download latest release
wget https://github.com/Velocidex/velociraptor/releases/latest/download/velociraptor-linux-amd64
# Generate server configuration
./velociraptor-linux-amd64 config generate -i
# Start the server
./velociraptor-linux-amd64 --config server.config.yaml frontend
# Or run as systemd service
sudo cp velociraptor-linux-amd64 /usr/local/bin/velociraptor
sudo velociraptor --config /etc/velociraptor/server.config.yaml service install# Repack client MSI for Windows deployment
velociraptor --config server.config.yaml config client > client.config.yaml
velociraptor config repack --msi velociraptor-windows-amd64.msi client.config.yaml output.msi
# Deploy via Group Policy, SCCM, or Intune
# Client runs as a Windows service: "Velociraptor"
# Linux client deployment
velociraptor --config client.config.yaml client -v
# macOS client deployment
velociraptor --config client.config.yaml client -vdocker run --name velociraptor \
-v /opt/velociraptor:/velociraptor/data \
-p 8000:8000 -p 8001:8001 -p 8889:8889 \
velocidex/velociraptor-- Collect Windows Event Logs
SELECT * FROM Artifact.Windows.EventLogs.EvtxHunter(
EvtxGlob="C:/Windows/System32/winevt/Logs/*.evtx",
IDRegex="4624|4625|4648|4672|4688|4698|4769|7045"
)
-- Collect Prefetch files for execution evidence
SELECT * FROM Artifact.Windows.Forensics.Prefetch()
-- Collect Shimcache entries
SELECT * FROM Artifact.Windows.Registry.AppCompatCache()
-- Collect Amcache entries
SELECT * FROM Artifact.Windows.Forensics.Amcache()
-- Collect UserAssist data
SELECT * FROM Artifact.Windows.Forensics.UserAssist()
-- Collect NTFS MFT timestamps
SELECT * FROM Artifact.Windows.NTFS.MFT(
MFTFilename="C:/$MFT",
FileRegex=".(exe|dll|ps1|bat|cmd)$"
)
-- Collect scheduled tasks
SELECT * FROM Artifact.Windows.System.TaskScheduler()
-- Collect running processes with hashes
SELECT * FROM Artifact.Windows.System.Pslist()
-- Collect network connections
SELECT * FROM Artifact.Windows.Network.Netstat()
-- Collect DNS cache
SELECT * FROM Artifact.Windows.Network.DNSCache()
-- Collect browser history
SELECT * FROM Artifact.Windows.Applications.Chrome.History()
-- Collect PowerShell history
SELECT * FROM Artifact.Windows.Forensics.PowerShellHistory()
-- Collect autoruns/persistence
SELECT * FROM Artifact.Windows.Persistence.PermanentWMIEvents()
SELECT * FROM Artifact.Windows.System.Services()
SELECT * FROM Artifact.Windows.System.StartupItems()-- Collect auth logs
SELECT * FROM Artifact.Linux.Sys.AuthLogs()
-- Collect bash history
SELECT * FROM Artifact.Linux.Forensics.BashHistory()
-- Collect crontab entries
SELECT * FROM Artifact.Linux.Sys.Crontab()
-- Collect running processes
SELECT * FROM Artifact.Linux.Sys.Pslist()
-- Collect network connections
SELECT * FROM Artifact.Linux.Network.Netstat()
-- Collect SSH authorized keys
SELECT * FROM Artifact.Linux.Ssh.AuthorizedKeys()
-- Collect systemd services
SELECT * FROM Artifact.Linux.Services()-- Windows Triage Collection artifact
-- Collects event logs, prefetch, registry, browser data, and more
SELECT * FROM Artifact.Windows.KapeFiles.Targets(
Device="C:",
_AllFiles=FALSE,
_EventLogs=TRUE,
_Prefetch=TRUE,
_RegistryHives=TRUE,
_WebBrowsers=TRUE,
_WindowsTimeline=TRUE
)1. Navigate to Hunt Manager in Velociraptor Web UI
2. Click "New Hunt"
3. Configure:
- Description: "IR Triage - Case 2025-001"
- Include/Exclude labels for targeting
- Artifact selection (e.g., Windows.Forensics.Prefetch)
- Resource limits (CPU, IOPS, timeout)
4. Launch hunt
5. Monitor progress in real-time-- Hunt for specific file hash across all endpoints
SELECT * FROM Artifact.Generic.Detection.HashHunter(
Hashes="e99a18c428cb38d5f260853678922e03"
)
-- Hunt for YARA signatures in memory
SELECT * FROM Artifact.Windows.Detection.Yara.Process(
YaraRule='rule malware { strings: $s1 = "malicious_string" condition: $s1 }'
)
-- Hunt for Sigma rule matches in event logs
SELECT * FROM Artifact.Server.Import.SigmaRules()
-- Hunt for suspicious scheduled tasks
SELECT * FROM Artifact.Windows.System.TaskScheduler()
WHERE Command =~ "powershell|cmd|wscript|mshta|rundll32"
-- Hunt for processes with network connections to suspicious IPs
SELECT * FROM Artifact.Windows.Network.Netstat()
WHERE RemoteAddr =~ "10\\.13\\.37\\."-- Monitor for new process creation
SELECT * FROM watch_etw(guid="{22fb2cd6-0e7b-422b-a0c7-2fad1fd0e716}")
WHERE EventData.ImageName =~ "powershell|cmd|wscript"
-- Monitor file system changes
SELECT * FROM watch_directory(path="C:/Windows/Temp/")
-- Monitor registry changes
SELECT * FROM watch_registry(key="HKLM/SOFTWARE/Microsoft/Windows/CurrentVersion/Run/**")Velociraptor Server --> Elastic/OpenSearch --> Splunk HEC
--> Direct syslog forwarding
--> Velociraptor API --> Custom scripts --> Splunk# Velociraptor server config for Elastic output
Monitoring:
elastic:
addresses:
- https://elastic.local:9200
username: velociraptor
password: secure_password
index: velociraptor| Technique | VQL Artifact |
|---|---|
| T1059 - Command Scripting | Windows.EventLogs.EvtxHunter (4104, 4688) |
| T1053 - Scheduled Task | Windows.System.TaskScheduler |
| T1547 - Boot/Logon Autostart | Windows.Persistence.PermanentWMIEvents |
| T1003 - OS Credential Dumping | Windows.Detection.Yara.Process |
| T1021 - Remote Services | Windows.EventLogs.EvtxHunter (4624 Type 3/10) |
| T1070 - Indicator Removal | Windows.EventLogs.Cleared |
© 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/implementing-velociraptor-for-ir-collection of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
Implementing Velociraptor For Ir Collection 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 |
|---|---|---|---|---|---|---|
| Implementing Velociraptor For Ir Collection this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.3k | Automated safety check: Notes | Apache-2.0 | |
| Forensics OsqueryAgentSecOps/SecOpsAgentKit | 220 | 1 repos | ~4.9k | Automated safety check: Notes | Custom licence | |
| Openclaw Live Updateropenclaw/openclaw | 392k | — | ~3.7k | Automated safety check: Pass | MIT | |
| .NET Crash Dump Collectiondotnet/skills | 5.6k | 2 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Release Allpaperboytm/spool | 592 | — | ~1.1k | Automated safety check: Pass | Custom licence | |
| Vuiovuiodev/vuio | 172 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 |
AgentSecOps/SecOpsAgentKit
SQL-powered forensic investigation and system interrogation using osquery to query operating systems as relational databases.
openclaw/openclaw
Maintain the canonical live OpenClaw main checkout, macOS LaunchAgent-managed Gateway, local macOS app, exact-head main CI, and recurring full release validation.
dotnet/skills
Configures automatic crash dumps or captures dumps from running processes for modern .NET apps on Linux, macOS and Windows, including Docker and Kubernetes.
paperboytm/spool
Publish the complete Spool CLI release train: synchronized versions, npm packages, the GitHub release, and the matching production web deployment.
vuiodev/vuio
Browse, search and cast a VuIO media library, build playlists, and control DLNA, Chromecast and AirPlay devices on the local network.
uvwt/agentdock
当用户询问 AgentDock 是什么、如何使用、配置在哪里、不同平台或安装方式怎样修改配置并生效、如何重启或验证配置、如何发现并配置 Codex/Claude/Grok 等 Coding Agent 的 ACP,以及常见运行问题时使用;覆盖 macOS Desktop、Windows Desktop、Linux 服务、Docker 和直接运行二进制,不用于源码开发与贡献流程。
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
Deploy and configure Velociraptor for scalable endpoint forensic artifact collection during incident response using VQL queries, hunts, and pre-built artifact packs across Windows, Linux, and macOS…. Implementing Velociraptor For Ir Collection is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Deploy and configure Velociraptor for scalable endpoint forensic artifact collection during incident response using VQL queries, hunts, and pre-built artifact packs across Windows, Linux, and macOS environments.
Implementing Velociraptor For Ir Collection fits situations like: tasks that involve Incident response.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-velociraptor-for-ir-collection -a claude-code`. Or copy the skill folder (skills/implementing-velociraptor-for-ir-collection in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/implementing-velociraptor-for-ir-collection in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-velociraptor-for-ir-collection -a codex`. Or copy the skill folder (skills/implementing-velociraptor-for-ir-collection in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/implementing-velociraptor-for-ir-collection 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 implementing-velociraptor-for-ir-collection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/implementing-velociraptor-for-ir-collection, .gemini/skills/implementing-velociraptor-for-ir-collection, .github/skills/implementing-velociraptor-for-ir-collection and .opencode/skills/implementing-velociraptor-for-ir-collection in your project.
Going by SKILL.md and its folder, Implementing Velociraptor For Ir Collection needs Python for the scripts in its folder and the command-line tools its instructions call (wget and docker). Our summary lists: Python 3; Docker.
SKILL.md names 5 domains. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. As links in the text: docs.velociraptor.app, rapid7.com, cisa.gov and pentestpartners.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (runs commands with sudo), nothing it rates as a warning. 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.
Implementing Velociraptor For Ir Collection 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 2.3k tokens (SKILL.md is roughly 9.2k 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 2.4k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Implementing Velociraptor For Ir Collection: Forensics Osquery (AgentSecOps/SecOpsAgentKit, 220 stars), Openclaw Live Updater (openclaw/openclaw, 392k stars), .NET Crash Dump Collection (dotnet/skills, 5.6k stars) and Release All (paperboytm/spool, 592 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 34,116 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.