maxtac-cloud-runtime-boundary

Analyze cloud runtime boundaries for security risks across AWS, Azure, GCP, and Kubernetes.

12|Updated Jun 1, 2026
One-click install
npx skills add https://github.com/philo-groves/MaxTAC --skill maxtac-cloud-runtime-boundary
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: maxtac-cloud-runtime-boundary
Source: https://github.com/philo-groves/MaxTAC/tree/main/plugins/maxtac-cloud/skills/maxtac-cloud-runtime-boundary
Command: npx skills add https://github.com/philo-groves/MaxTAC --skill maxtac-cloud-runtime-boundary

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill identifies and evaluates potential security risks in cloud runtime boundaries, such as compute, serverless, containers, metadata services, workload identity, managed Kubernetes, network perimeters, or runtime-to-cloud privilege paths.

Core Features & Use Cases

  • Runtime Boundary Analysis: Assess HTTP request influence, SSRF, container control, pod control, and runtime configuration.
  • Provider Checks: Evaluate AWS, Azure, or GCP-specific configurations and services like IMDS, managed identities, security groups, and firewall rules.
  • Managed Kubernetes Checks: Validate Kubernetes configurations, service accounts, and workload identity.
  • Proof Hygiene: Ensure that sensitive data like credentials and tokens are not stored or transmitted insecurely.
  • Auditor Routing: Use Cloud auditor filters for targeted security checks.

Quick Start

Use the maxtac-cloud-runtime-boundary skill to analyze the cloud runtime boundary for the 'example-case-id'.

Frequently Asked Questions about maxtac-cloud-runtime-boundary

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze cloud runtime boundaries for SSRF and workload identity risks?

You can analyze cloud runtime boundaries for SSRF, HTTP request influence, container control, pod control, and metadata services using this skill to evaluate security configurations across AWS, Azure, GCP, and managed Kubernetes environments.

What is a cloud runtime boundary and when do I need to check its configuration?

A cloud runtime boundary defines the security perimeter around compute, serverless, and container workloads. You need to check it when evaluating runtime-to-cloud privilege paths, network perimeters, and workload identity configurations to prevent unauthorized access.

How do I check AWS, Azure, and GCP metadata services for security risks?

You can check AWS IMDS, Azure managed identities, and GCP firewall rules by applying provider-specific configurations and security checks to identify vulnerabilities in metadata services and network perimeters.

Can I validate managed Kubernetes service accounts and workload identity?

Yes, you can validate managed Kubernetes configurations, service accounts, and workload identity setups to ensure runtime boundary security and prevent unauthorized container or pod control.

Does this runtime boundary analysis require existing cloud provider configurations?

Yes, cloud provider-specific configurations and security checks must already be in place for the analysis to evaluate HTTP request influence, SSRF, container control, pod control, and metadata service risks accurately.

How do I ensure sensitive credentials and tokens are not stored insecurely in cloud runtimes?

You can use the proof hygiene checks in this skill to ensure that sensitive data like credentials and tokens are not stored or transmitted insecurely across your cloud runtime boundaries.