pytm
81Build pytm Threat Models as Code
Threat modeling often becomes outdated and disconnected from architecture changes. This skill helps create pytm models, STRIDE analysis, and diagram workflows for security reviews and CI.
Investigate Endpoints with Velociraptor VQL
Endpoint investigations require consistent queries, collection plans, and evidence controls. This skill provides Velociraptor workflows, VQL patterns, and deployment templates for authorized response.
Do not auto-install this skill.
The canonical policy requires operator review before any installation action.
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "ir-velociraptor" from https://skillstore.io/skills/agentsecops-ir-velociraptor.md and its manifest at https://skillstore.io/api/skills/agentsecops-ir-velociraptor/manifest. Verify the artifact. Do not auto-install. Inspect the skill and report your findings, then wait for an operator or manual installation decision.Your Agent should still show its plan and request any confirmation required by the security policy.
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Using "ir-velociraptor". Plan a hunt for suspicious PowerShell launched by office applications during the last 24 hours.
Expected outcome:
A staged hunt plan covering process ancestry, command-line indicators, PowerShell logs, endpoint labels, time limits, result fields, and false positive review.
Using "ir-velociraptor". Create an offline collection plan for a suspected ransomware incident.
Expected outcome:
A scoped evidence plan covering event logs, timelines, persistence, hashes, resource limits, encrypted storage, chain of custody, and isolated malware handling.
Using "ir-velociraptor". Review a Velociraptor server design that exposes the GUI to a large private network.
Expected outcome:
A risk review recommending a narrow management subnet, strong authentication, TLS, role separation, audit logging, firewall validation, and tested recovery procedures.
Most static alerts are documentation syntax, placeholders, or read-only defensive queries. Confirmed risks include remote script execution, privileged deployment, broad network exposure, and sensitive temporary files. CI bypasses and insecure deployment examples require correction before publication.
These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
https://skillstore.io/skills/agentsecops-ir-velociraptor/audits/9?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/agentsecops-ir-velociraptor?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/agentsecops-ir-velociraptor?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/agentsecops-ir-velociraptor/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/agentsecops-ir-velociraptor.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>AgentSecOps. (2026). ir-velociraptor security audit report (audit version 9) [Author version 0.1.0]. Skillstore. https://skillstore.io/skills/agentsecops-ir-velociraptor/audits/9@techreport{agentsecops-agentsecops-ir-velociraptor-2026,
author = {AgentSecOps},
title = {ir-velociraptor security audit report (audit version 9)},
institution = {Skillstore},
year = {2026},
number = {9},
url = {https://skillstore.io/skills/agentsecops-ir-velociraptor/audits/9},
note = {Author version 0.1.0}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "ir-velociraptor security audit report (audit version 9)"
version: "0.1.0"
type: report
authors:
- name: "AgentSecOps"
date-released: "2026-07-23"
url: "https://skillstore.io/skills/agentsecops-ir-velociraptor/audits/9"
identifiers:
- type: other
value: "skillstore:agentsecops-ir-velociraptor:audit:9"
description: "Skillstore immutable audit report identifier"
Build a focused collection plan for processes, logons, network connections, persistence, and recent file changes.
Create a staged hunt with endpoint labels, VQL artifacts, resource limits, positive indicators, and triage priorities.
Define parameters, preconditions, data sources, expected output, tests, and MITRE ATT&CK mappings for a custom artifact.
Create a Velociraptor triage plan for [incident type] on [operating system]. Include evidence priorities, artifact names, scope controls, and validation steps.
Draft a read-only VQL hunt for [indicator or behavior]. Explain each data source, filter, expected field, false positive, and resource limit.
Design a Velociraptor artifact for [forensic objective]. Include typed parameters, preconditions, bounded queries, output fields, test cases, and privacy controls.
Review this Velociraptor deployment design: [details]. Identify trust boundaries, privileged operations, certificate handling, network exposure, storage risks, and safer configuration changes.
Author
AgentSecOpsLicense
MIT
Author version
v0.1.0
Skillstore revision
r2
Repository
https://github.com/AgentSecOps/SecOpsAgentKit/tree/main/skills/incident-response/ir-velociraptorRef
9e952417e76879bc9d853e1b8b2cd6d6d8d4a1c2
Maintenance freshness
7/24/2026
Usage
7 downloads ยท 565 views
File structure
๐ assets/
๐ .gitkeep
๐ hunt-template.yaml
๐ offline-collector-config.yaml
๐ rule-template.yaml
๐ references/
๐ deployment-guide.md
๐ EXAMPLE.md
๐ vql-patterns.md
๐ SKILL.md
Build pytm Threat Models as Code
Threat modeling often becomes outdated and disconnected from architecture changes. This skill helps create pytm models, STRIDE analysis, and diagram workflows for security reviews and CI.
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