threat-modeling-expert

$npx mdskill add benjaminasterA/antigravity-awesome-skills/threat-modeling-expert

Analyzes system architectures for security threats and recommends mitigations.

  • Identifies attack vectors and security gaps in system designs.
  • Uses STRIDE, PASTA, and attack tree methodologies for analysis.
  • Prioritizes risks based on scoring and impact assessment.
  • Delivers structured threat models with mitigation strategies.

SKILL.md

.github/skills/threat-modeling-expertView on GitHub ↗
---
name: threat-modeling-expert
description: "Expert in threat modeling methodologies, security architecture review, and risk assessment. Masters STRIDE, PASTA, attack trees, and security requirement extraction. Use for security architecture r..."
risk: unknown
source: community
---

# Threat Modeling Expert

Expert in threat modeling methodologies, security architecture review, and risk assessment. Masters STRIDE, PASTA, attack trees, and security requirement extraction. Use PROACTIVELY for security architecture reviews, threat identification, or building secure-by-design systems.

## Capabilities

- STRIDE threat analysis
- Attack tree construction
- Data flow diagram analysis
- Security requirement extraction
- Risk prioritization and scoring
- Mitigation strategy design
- Security control mapping

## Use this skill when

- Designing new systems or features
- Reviewing architecture for security gaps
- Preparing for security audits
- Identifying attack vectors
- Prioritizing security investments
- Creating security documentation
- Training teams on security thinking

## Do not use this skill when

- You lack scope or authorization for security review
- You need legal or compliance certification
- You only need automated scanning without human review

## Instructions

1. Define system scope and trust boundaries
2. Create data flow diagrams
3. Identify assets and entry points
4. Apply STRIDE to each component
5. Build attack trees for critical paths
6. Score and prioritize threats
7. Design mitigations
8. Document residual risks

## Safety

- Avoid storing sensitive details in threat models without access controls.
- Keep threat models updated after architecture changes.

## Best Practices

- Involve developers in threat modeling sessions
- Focus on data flows, not just components
- Consider insider threats
- Update threat models with architecture changes
- Link threats to security requirements
- Track mitigations to implementation
- Review regularly, not just at design time

More from benjaminasterA/antigravity-awesome-skills

SkillDescription
2d-games2D game development principles. Sprites, tilemaps, physics, camera.
3d-games3D game development principles. Rendering, shaders, physics, cameras.
3d-web-experienceExpert in building 3D experiences for the web - Three.js, React Three Fiber, Spline, WebGL, and interactive 3D scenes. Covers product configurators, 3D portfolios, immersive websites, and bringing ...
accessibility-compliance-accessibility-auditYou are an accessibility expert specializing in WCAG compliance, inclusive design, and assistive technology compatibility. Conduct audits, identify barriers, and provide remediation guidance.
active-directory-attacksThis skill should be used when the user asks to \"attack Active Directory\", \"exploit AD\", \"Kerberoasting\", \"DCSync\", \"pass-the-hash\", \"BloodHound enumeration\", \"Golden Ticket\", ...
activecampaign-automationAutomate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
address-github-commentsUse when you need to address review or issue comments on an open GitHub Pull Request using the gh CLI.
agent-framework-azure-ai-pyBuild Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code int...
agent-manager-skillManage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
agent-memory-mcpA hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).