What Python tools are documented in this skill?

It covers the agentic-sandbox-client library, including the SandboxClient for command execution and file management, and the SandboxRouter for dynamic request routing.

What is the Kubernetes Agent Sandbox?

It is a CRD-based system designed to manage isolated and secure execution environments specifically for AI agents running on Kubernetes.

Does it support browser-based agent tasks?

Yes, it includes implementation examples for Gemini Computer Use and AIO-sandbox environments that support VNC and browser automation.

How does this skill assist with security configuration?

The skill provides documentation and examples for using gVisor runtime classes and strict NetworkPolicies (ingress/egress) to ensure agent sandboxes are network-isolated.

Can this skill help reduce agent cold starts?

Yes, it includes detailed instructions for SandboxWarmPool, which maintains a set of pre-warmed sandbox environments for immediate agent deployment.

Kubernetes Agent Sandbox

Name: Kubernetes Agent Sandbox
Author: khirotaka

bykhirotaka

Cloud Infrastructure

Manages isolated, secure AI agent execution environments on Kubernetes using Custom Resource Definitions and a Python SDK.

About

This skill provides a comprehensive guide for implementing and managing the Kubernetes Agent Sandbox, a system designed for the safe execution of AI agent workloads. It offers detailed technical documentation for Core and Extension CRDs—including Sandbox, SandboxTemplate, and SandboxWarmPool—alongside deep dives into the Python SDK for client-side interactions. Developers can utilize this skill to configure gVisor-isolated environments, implement granular NetworkPolicies, and deploy pre-warmed pools to minimize latency in agentic workflows. It serves as a central reference for building secure, scalable, and observable infrastructure for LLM-driven agents.

Key Features

Optimized search patterns for rapid retrieval of K8s manifest fields
Comprehensive Python SDK documentation for SandboxClient and SandboxRouter
Implementation examples for Python runtimes, VNC, and Gemini Computer Use
Full CRD reference for Sandbox, SandboxTemplate, SandboxClaim, and SandboxWarmPool
0 GitHub stars
Security patterns for gVisor runtime and NetworkPolicy isolation

Use Cases

Building secure, multi-tenant code execution environments for AI agents
Integrating LLMs with Kubernetes infrastructure via the Python Sandbox SDK
Reducing agent startup latency using SandboxWarmPool configurations

About

Key Features

Optimized search patterns for rapid retrieval of K8s manifest fields
Comprehensive Python SDK documentation for SandboxClient and SandboxRouter
Implementation examples for Python runtimes, VNC, and Gemini Computer Use
Full CRD reference for Sandbox, SandboxTemplate, SandboxClaim, and SandboxWarmPool
0 GitHub stars
Security patterns for gVisor runtime and NetworkPolicy isolation

Use Cases

Building secure, multi-tenant code execution environments for AI agents
Integrating LLMs with Kubernetes infrastructure via the Python Sandbox SDK
Reducing agent startup latency using SandboxWarmPool configurations