Threat Modeling & Attack Scenario Design for Openclaw

A proactive security skill for identifying vulnerabilities and designing attack scenarios using STRIDE analysis and risk matrices.

sa9saq
v1.0.0
Feb 11, 2026
0
0
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install threat-model

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install threat-model using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Threat Modeling & Attack Scenario Design?

The Threat Model skill provides a structured framework for developers to evaluate the security posture of their AI agents. By adopting an attacker's perspective, this skill helps identify potential risks before they manifest as vulnerabilities, ensuring that Openclaw Skills remain resilient against diverse threats. It systematically applies the STRIDE framework to analyze system architecture and prioritize security investments through detailed risk matrices.

This skill is particularly focused on modern attack surfaces, including cryptocurrency asset protection, AI-specific logic flaws, and infrastructure weaknesses. Whether you are building automated trading bots or customer service agents, the Threat Model skill provides the technical depth required to design robust countermeasures and secure workflows.

Threat Modeling & Attack Scenario Design Use Cases

  • Performing a full STRIDE analysis on new agentic workflows to identify architectural flaws.
  • Designing complex attack scenarios to simulate red-teaming exercises against Openclaw Skills.
  • Creating risk assessment matrices to prioritize security patches and infrastructure hardening.
  • Auditing cryptocurrency wallet integrations to prevent unauthorized transfers and private key leakage.
  • Developing mitigation strategies for AI-specific threats like prompt injection and role-change attacks.

How Threat Modeling & Attack Scenario Design Works

  1. The user provides a system description or requests a security review of a specific functionality.
  2. The skill executes a STRIDE analysis, categorizing potential threats into Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, and Elevation of Privilege.
  3. It evaluates specific threat vectors relevant to the environment, such as crypto-asset security, AI prompt integrity, and API endpoint exposure.
  4. A risk matrix is generated, mapping the likelihood of an attack against its potential impact to determine the severity (Info to Critical).
  5. The skill outputs a comprehensive report including the attack path, identified risks, and recommended technical countermeasures.

Threat Modeling & Attack Scenario Design Setup

To integrate this security framework into your environment, follow these steps:

# Install the threat-model skill via the CLI
openclaw install threat-model

# Initialize a security audit for your current project
openclaw run threat-model --init

Ensure that your environment variables are configured for secure secret rotation to support the countermeasure recommendations provided for Openclaw Skills.

Threat Modeling & Attack Scenario Design Data Schema & Taxonomy

The skill organizes its security analysis into a structured format for easy integration into devops pipelines:

Attribute Description Data Type
threat_id Unique identifier for the identified risk String
framework The methodology used (e.g., STRIDE) String
impact_score Severity level from the risk matrix Enum (Critical, High, Medium, Low)
attack_path Step-by-step sequence of the simulated attack List
mitigation Technical configuration or code-level fix Markdown
agent_specific Boolean flag for AI-logic related threats Boolean

Threat Modeling & Attack Scenario Design Advanced Features

  • Real-time prompt injection detection integration when used alongside moltbook-security.
  • Automated generation of attack trees for visualizing complex multi-step security breaches.
  • Specific audit modules for DApp connections and cryptocurrency protocol integrity.
  • Custom risk matrix threshold configuration for different regulatory compliance levels.
  • Support for multi-agent collaboration security where one agent monitors the security logs of other Openclaw Skills.

SKILL.md


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