sandbox-hardening

Configure process, container, or microVM isolation with resource and network limits.

31|8|Updated Apr 10, 2026
One-click install
npx skills add https://github.com/itallstartedwithaidea/agent-skills --skill sandbox-hardening
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sandbox-hardening
Source: https://github.com/itallstartedwithaidea/agent-skills/tree/main/skills/security/sandbox-hardening
Command: npx skills add https://github.com/itallstartedwithaidea/agent-skills --skill sandbox-hardening

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Sandbox Hardening prevents AI agents from causing damage when they run generated or untrusted code by isolating execution, limiting resources, and restricting network and filesystem access.

Core Features & Use Cases

  • Isolation level selection: Choose process-level, container-level, or VM-level isolation based on trust boundary (internal tooling vs multi-tenant vs untrusted code).
  • Least-privilege enforcement: Apply permission boundaries, drop capabilities, run as non-root, and scope filesystem mounts to reduce what the agent can touch.
  • Resource and network control: Set CPU, memory, PID, and file descriptor limits while using network allowlists and syscall auditing to limit blast radius.
  • Validation-before-execution: Reduce risk by validating commands and applying blocklists to prevent obviously dangerous operations.

Quick Start

Instruct your agent to run its generated code inside a least-privilege sandbox using a container configured with a read-only filesystem, dropped Linux capabilities, strict resource limits, and an allowlisted network.

Frequently Asked Questions about sandbox-hardening

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

FAQPage Schema
How do I isolate AI agent execution to prevent harm from untrusted code?

Isolate AI agent execution by configuring sandboxed environments with process, container, or microVM boundaries. You prevent harm by enforcing least-privilege controls, restricting filesystem access, and applying resource limits before running any generated code.

What is the best way to sandbox untrusted code in multi-tenant agent platforms?

The best way to sandbox untrusted code in multi-tenant platforms is configuring a microVM with strict resource limits and an allowlisted network. This isolation level prevents prompt-injected or AI-generated code from causing damage across tenants.

How does least-privilege enforcement work for container security?

Least-privilege enforcement for container security works by dropping Linux capabilities, running as non-root, and scoping filesystem mounts to read-only. These restrictions limit what an agent can touch, reducing the blast radius of malicious operations.

Do I need network segmentation and seccomp profiles to restrict agent filesystem and network access?

You need network segmentation and seccomp profiles to restrict agent filesystem and network access effectively. Applying network allowlists and syscall auditing blocks unauthorized outbound connections and limits dangerous system calls during execution.

Can I validate commands before execution to block dangerous operations in a sandbox?

You can validate commands before execution to block dangerous operations in a sandbox. Applying blocklists helps validate instructions and prevent obviously risky operations, reducing risk before the agent code ever runs.

When should I use process-level isolation instead of a container or microVM for agent security?

Use process-level isolation instead of a container or microVM for agent security when working with trusted internal tooling. Choose container or VM-level isolation when executing untrusted code or operating multi-tenant services requiring stricter trust boundaries.