Agent skill

Ir Velociraptor

by AgentSecOps in AgentSecOps/SecOpsAgentKit

Endpoint visibility, digital forensics, and incident response using Velociraptor Query Language (VQL) for evidence collection and threat hunting at scale.

Custom licenceAuto-check passedSecurity

Install Ir Velociraptor

skills CLI
$ npx skills add AgentSecOps/SecOpsAgentKit --skill ir-velociraptor -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install AgentSecOps/SecOpsAgentKit ir-velociraptor --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/AgentSecOps/SecOpsAgentKit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/incident-response/ir-velociraptor .claude/skills/ir-velociraptor && rm -rf skills-src

Use ~/.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/

Facts

Skill name
ir-velociraptor
GitHub stars
220
Used in
1 other repo
Token cost
~3.1k tokens
SKILL.md length
964 words
Files
13 (incl. references, assets)
Skills in repo
24
Repo updated
First seen
Licence
Custom licence

At a glance

Endpoint visibility, digital forensics, and incident response using Velociraptor Query Language (VQL) for evidence collection and threat hunting at scale.

  • Works in 7 steps: Identify patient zero endpoint → Collect: Windows.Forensics.Timeline for… → Collect: Windows.EventLogs.Evtx for… → …
  • Conducting forensic investigations across multiple endpoints
  • SKILL.md covers Overview, Quick Start, Core Incident Response Workflows and VQL Query Patterns, plus 7 more sections
  • Reaches github.com

What it does

Ir Velociraptor is an agent skill from AgentSecOps/SecOpsAgentKit. Endpoint visibility, digital forensics, and incident response using Velociraptor Query Language (VQL) for evidence collection and threat hunting at scale. Use when: (1) Conducting forensic investigations across multiple endpoints, (2) Hunting for indicators of compromise or suspicious activities, (3) Collecting endpoint telemetry and artifacts for incident analysis, (4) Performing live response and evidence preservation, (5) Monitoring endpoints for security events, (6) Creating custom forensic artifacts for…

Its SKILL.md is about 3.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including reference files and assets (for example `assets/artifact-template.yaml`, `assets/ci-config-template.yml` and `assets/hunt-template.yaml`).

It sits in Security, covering Digital forensics, Incident response and Security operations. The repository describes itself as: Security operations toolkit for AI coding agents. Give Claude Code 25+ skills to catch vulnerabilities, scan containers, detect secrets, and enforce policies automatically.

When your agent uses it

  • Conducting forensic investigations across multiple endpoints
  • Hunting for indicators of compromise
  • Suspicious activities
  • Collecting endpoint telemetry and artifacts for incident analysis

Example prompts

  • “/ir-velociraptor”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Identify patient zero endpoint
  2. Collect: Windows.Forensics.Timeline for file modification patterns
  3. Collect: Windows.EventLogs.Evtx for authentication events
  4. Hunt for: Lateral movement artifacts across network
  5. Hunt for: Scheduled tasks or services for persistence
  6. Extract: Ransomware binary samples for malware analysis
  7. Build: Timeline of infection spread and data encryption

What it can do on your machine

Read from SKILL.md and the folder at commit 6e25a4b. 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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are sql, bash and yaml).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    Also links to:

    • docs.velociraptor.app
    • attack.mitre.org

    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

Ir Velociraptor loads about 3.1k tokens when it runs, and up to ~24k if it reads all its reference files. Until then it costs about 139 tokens; SKILL.md has 964 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~139
When it runs · the whole SKILL.md, loaded when a task matches
~3.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~24k

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); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 964 words (~3,077 tokens).

“Velociraptor is an endpoint visibility and forensics platform for collecting host-based state information using Velociraptor Query Language (VQL). It operates in three core modes: Collect (targeted evidence gathering), Monitor (continuous event capture), and Hunt (proactive threat hunting).”

— opening of SKILL.md by AgentSecOps, Custom licence
name
ir-velociraptor
version
0.1.0
maintainer
SirAppSec
category
incident-response
tags
forensics, incident-response, endpoint-detection, threat-hunting, vql, dfir, live-response, evidence-collection
frameworks
MITRE-ATT&CK, NIST
dependencies.tools
velociraptor
references
https://docs.velociraptor.app/, https://github.com/Velocidex/velociraptor, https://docs.velociraptor.app/artifact_references/

Read the full SKILL.md on GitHub

Files

SKILL.md and 12 other files (references, assets) in skills/incident-response/ir-velociraptor of AgentSecOps/SecOpsAgentKit.

  • SKILL.md
  • assets/.gitkeep
  • assets/artifact-template.yaml
  • assets/ci-config-template.yml
  • assets/hunt-template.yaml
  • assets/offline-collector-config.yaml
  • assets/rule-template.yaml
  • references/EXAMPLE.md
  • references/WORKFLOW_CHECKLIST.md
  • references/artifact-development.md
  • references/deployment-guide.md
  • references/mitre-attack-mapping.md
  • references/vql-patterns.md

Open the folder on GitHubat commit 6e25a4b

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in AgentSecOps/SecOpsAgentKit, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Ir Velociraptor 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.

Ir Velociraptor compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ir Velociraptor this skillAgentSecOps/SecOpsAgentKit2201 repos~3.1kAutomated safety check: PassCustom licence
Incident Response NetworkLeoYeAI/openclaw-master-skills2.2k—~5kAutomated safety check: PassApache-2.0
Malware Persistence Analysis with Autorunsmukul975/Anthropic-Cybersecurity-Skills34k—~1.2kAutomated safety check: PassApache-2.0
Incident Responsealirezarezvani/claude-skills28k—~3.8kAutomated safety check: PassMIT
Incident Responsehypnguyen1209/offensive-claude388—~2.5kAutomated safety check: PassMIT
Hunting For Webshell Activitymukul975/Anthropic-Cybersecurity-Skills34k—~904Automated safety check: PassApache-2.0

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  • TShark Traffic Analysis

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  • Container Scanning with Grype

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Questions about Ir Velociraptor

What does Ir Velociraptor do?

Endpoint visibility, digital forensics, and incident response using Velociraptor Query Language (VQL) for evidence collection and threat hunting at scale. Ir Velociraptor is an agent skill from AgentSecOps/SecOpsAgentKit. Endpoint visibility, digital forensics, and incident response using Velociraptor Query Language (VQL) for evidence collection and threat hunting at scale.

When should I use Ir Velociraptor?

Ir Velociraptor fits situations like: conducting forensic investigations across multiple endpoints; hunting for indicators of compromise; suspicious activities; collecting endpoint telemetry and artifacts for incident analysis.

How do I install Ir Velociraptor in Claude Code?

Run `npx skills add AgentSecOps/SecOpsAgentKit --skill ir-velociraptor -a claude-code`. Or copy the skill folder (skills/incident-response/ir-velociraptor in AgentSecOps/SecOpsAgentKit) into .claude/skills/ir-velociraptor in your project. Claude Code loads it when a task matches its description.

How do I install Ir Velociraptor in Codex?

Run `npx skills add AgentSecOps/SecOpsAgentKit --skill ir-velociraptor -a codex`. Or copy the skill folder (skills/incident-response/ir-velociraptor in AgentSecOps/SecOpsAgentKit) into .agents/skills/ir-velociraptor in your project. Codex loads it when a task matches its description.

Can I use Ir Velociraptor 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 AgentSecOps/SecOpsAgentKit --skill ir-velociraptor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ir-velociraptor, .gemini/skills/ir-velociraptor, .github/skills/ir-velociraptor and .opencode/skills/ir-velociraptor in your project.

What does Ir Velociraptor need to run?

SKILL.md names no scripts, command-line tools or credentials: Ir Velociraptor is instructions for the agent only.

Does Ir Velociraptor access the network?

SKILL.md names 3 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 and attack.mitre.org. This is read from the text; nothing was executed.

Is Ir Velociraptor 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. Review the folder before installing.

What licence does Ir Velociraptor use?

Ir Velociraptor has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Ir Velociraptor use?

About 3.1k 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 21k tokens, read only when the agent opens those files.

What are the alternatives to Ir Velociraptor?

Skills that share tags, products or a category with Ir Velociraptor: Incident Response Network (LeoYeAI/openclaw-master-skills, 2.2k stars), Malware Persistence Analysis with Autoruns (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Incident Response (alirezarezvani/claude-skills, 28k 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 Ir Velociraptor?

AgentSecOps (a GitHub organization) maintains it in AgentSecOps/SecOpsAgentKit, which has 220 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on April 15, 2026.

Source: AgentSecOps/SecOpsAgentKit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.