Container Runtime Threat Model Generator for Openclaw

An expert-level security tool that generates STRIDE-based threat models for containerized applications and Kubernetes workloads.

krishnakumarmahadevan-cmd
v1.0.0
Mar 18, 2026
0
872
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install container-runtime-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 container-runtime-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 Container Runtime Threat Model Generator?

The Container Runtime Threat Model Generator is a sophisticated security tool designed to identify vulnerabilities within containerized environments. Built by CISSP and CISM certified professionals, it provides a rigorous analysis of attack surfaces across container components, images, privilege levels, and network exposure. By leveraging specialized Openclaw Skills, developers can transform raw infrastructure data into actionable security intelligence.

This skill goes beyond simple configuration checks by delivering comprehensive STRIDE analysis (Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, and Elevation of Privilege). It assesses the risk of container escape, host access vulnerabilities, and missing security controls like seccomp or AppArmor, ensuring that cloud-native applications are resilient against modern threats.

Container Runtime Threat Model Generator Use Cases

  • Assessing the security posture of Kubernetes workloads before production deployment.
  • Conducting STRIDE analysis for cloud-native applications to meet compliance requirements like PCI-DSS or SOC2.
  • Evaluating the risk of container escape and privilege escalation in environments using Docker, containerd, or Podman.
  • Reviewing the impact of mounting host namespaces or the Docker socket in container configurations.
  • Generating prioritized mitigation roadmaps for security teams and DevOps engineers.

How Container Runtime Threat Model Generator Works

  1. The agent gathers specific application metadata, including runtime environment, orchestrator details, and container component configurations.
  2. User provides security control status such as image scanning, admission controllers, and network policies.
  3. The skill triggers a secure API call to the ToolWeb backend using a valid API key.
  4. The backend processes the architecture data against known threat patterns and security benchmarks.
  5. A detailed report is returned, featuring a numerical risk score, categorized threat lists, and a prioritized action plan for remediation.

Container Runtime Threat Model Generator Setup

To use this among your Openclaw Skills, you must have curl installed and an active API key from the ToolWeb portal.

# Export your API key to your environment
export TOOLWEB_API_KEY="your_api_key_here"

# The skill will use curl to communicate with the security engine
curl -s -X POST "https://portal.toolweb.in/apis/security/crtmg" \
  -H "X-API-Key: $TOOLWEB_API_KEY"

Container Runtime Threat Model Generator Data Schema & Taxonomy

The skill organizes threat data into a structured hierarchy to ensure clarity for security audits:

Data Category Key Fields Included
Application Meta App name, Environment (Prod/Dev), Cloud Provider, Orchestrator
Component Specs Image tags, Privilege status, Capabilities (NET_ADMIN, etc.), Volume mounts
Threat Metrics Overall Risk Score (0-100), Critical/High/Medium threat counts
STRIDE Summary Quantitative breakdown of threats across the six STRIDE pillars
Mitigation Plan Priority-ordered fixes with associated impact levels

Container Runtime Threat Model Generator Advanced Features

  • Multi-component analysis for complex microservices architectures.
  • Deep integration with compliance frameworks including HIPAA and CIS Benchmarks.
  • Support for advanced container security controls like OPA/Kyverno admission controllers and read-only root filesystems.
  • Risk scoring tailored to data sensitivity levels such as PII and financial data handled by the application.

SKILL.md


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