mav-scope-boundaries

Enforce hard limits on autonomous infrastructure, authentication, git, and production actions.

10|2|Updated Mar 3, 2026
One-click install
npx skills add https://github.com/thermiteau/maverick --skill mav-scope-boundaries
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mav-scope-boundaries
Source: https://github.com/thermiteau/maverick/tree/main/skills/mav-scope-boundaries
Command: npx skills add https://github.com/thermiteau/maverick --skill mav-scope-boundaries

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Claude Code requires firm boundaries to avoid unauthorized or risky actions across all workflows. This Skill defines hard limits and guardrails that prevent autonomous changes to infrastructure, authentication, destructive git operations, and production systems unless expressly authorised.

Core Features & Use Cases

  • Enforces definitive boundaries on infrastructure changes, authentication policy, destructive git commands, and production access.
  • Applies automatically to all workflows, skills, and agents to ensure consistent governance.
  • Useful for teams needing strong guardrails during autonomous AI-driven development.

Quick Start

Provide explicit authorisation in the issue before attempting any restricted action.

Frequently Asked Questions about mav-scope-boundaries

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

FAQPage Schema
How do I prevent Claude Code from running destructive git operations autonomously?

You can prevent destructive git operations by applying boundary guardrails that block autonomous actions unless explicit authorization is provided in the issue. This protects production integrity across all workflows.

Can I enforce policy guardrails for infrastructure changes across all AI agents?

Yes, you can enforce policy guardrails automatically across all workflows, skills, and agents. This ensures consistent governance by preventing unauthorized infrastructure changes and authentication modifications.

What are safe boundaries for autonomous AI-driven development in production environments?

Safe boundaries for autonomous development include hard limits on infrastructure changes, authentication modifications, destructive git commands, and production access. These guardrails require explicit authorization before any restricted action executes.

How do I authorize a restricted action blocked by production safety guardrails?

To authorize a restricted action blocked by production safety guardrails, you must provide explicit authorization directly in the issue before attempting the operation. This allows policy exceptions for specific tasks.

Does enforcing hard limits on AI agents affect existing workflows and skills?

Enforcing hard limits applies automatically to all existing workflows, skills, and agents without requiring individual configuration. This ensures consistent governance and production safety across the entire development environment.

When should I use explicit authorization guardrails for autonomous coding tools?

You should use explicit authorization guardrails whenever autonomous AI agents operate near production systems, infrastructure, or git history. This prevents unauthorized destructive operations and protects system integrity.