enforce-safe-skills

Enforce copy-first adaptation workflows for protected shared skill repositories.

1|Updated May 29, 2026
One-click install
npx skills add https://github.com/rod97-1/design-skills --skill enforce-safe-skills
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: enforce-safe-skills
Source: https://github.com/rod97-1/design-skills/tree/main/raw-design-skills/enforce-safe-skills
Command: npx skills add https://github.com/rod97-1/design-skills --skill enforce-safe-skills

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Agents working with shared skill libraries, protected source repositories, or reusable tool folders often accidentally modify canonical source files, push unapproved changes, or add agent-specific metadata to shared repos, breaking the library for all users and violating authorization rules.

Core Features & Use Cases

  • Copy-First Adaptation Enforcement: Requires agents to copy needed skills to their local environment instead of modifying the protected source repo directly.
  • Explicit Approval Requirement: Blocks all source repo mutations (including reformatting, adding metadata, or pushing commits) unless the user provides clear, specific approval for the exact change.
  • Secret and Customization Guardrails: Prevents importing secrets into shared repos and ensures agent-specific customizations are confined to local agent environments.
  • Use Case: If your team maintains a shared library of AI skills, this skill ensures you only make local changes to your own copy and get explicit approval before altering the shared source, keeping the library stable and consistent for all team members.

Quick Start

Use the enforce-safe-skills skill to copy the required design skill from the shared protected repository to your local environment and make any needed adaptations without modifying the original source.

Frequently Asked Questions about enforce-safe-skills

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

FAQPage Schema
How do I prevent AI agents from modifying shared skill libraries?

To prevent AI agents from modifying shared skill libraries, you can use a copy-first adaptation enforcement mechanism that requires agents to duplicate skills to their local environment instead of altering the protected source repository directly.

What is copy-first adaptation for AI agent workflows?

Copy-first adaptation for AI agent workflows is a safety process where agents copy needed skills from a shared source repository to a local environment, ensuring any customizations or mutations are confined locally and do not break the canonical library.

How do I block unauthorized commits to shared source repositories?

You can block unauthorized commits to shared source repositories by enforcing a rule that requires explicit user approval for any source repo mutations, including reformatting, adding metadata, or pushing changes, while blocking secret imports.

Can I customize a reusable tool repository for a specific AI agent without breaking it for others?

Yes, you can customize a reusable tool repository for a specific AI agent without breaking it for others by using guardrails that confine agent-specific customizations to local agent environments rather than the shared source.

What happens if an AI agent tries to import secrets into a shared memory pack?

If an AI agent attempts to import secrets into a shared memory pack, the repository protection guardrails block the action to prevent unauthorized modifications and ensure secrets remain outside the shared source repository.

Does this repository protection work with template folders and framework bases?

Yes, this repository protection applies to all interactions with canonical skill libraries, shared memory packs, template folders, framework bases, and reusable tool repositories used by multiple AI agents, requiring explicit approval for mutations.