r

Enforce a read-first policy requiring explicit user approval before any action.

Updated Mar 1, 2026
One-click install
npx skills add https://github.com/hve4638/hve-cc-marketplace --skill r-hve4638
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: r
Source: https://github.com/hve4638/hve-cc-marketplace/tree/main/common/skills/r
Command: npx skills add https://github.com/hve4638/hve-cc-marketplace --skill r-hve4638

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Users risk unintended changes when AI systems act without explicit confirmation. This skill enforces a read-first policy, ensuring that no write, modification, or sensitive action occurs until the user explicitly requests it.

Core Features & Use Cases

  • Read-first policy enforcement before any operation.
  • Safe, auditable prompts that require confirmation.
  • Use Case: Before executing a file write or system change, prompt the user for explicit consent and log the decision.

Quick Start

Tell the AI to wait for explicit user approval before performing any actions.

Frequently Asked Questions about r

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

FAQPage Schema
How do I prevent an AI assistant from making unintended file changes without my approval?

To prevent unintended file changes, you can enforce a read-first policy that requires explicit user approval before any data writes, modifications, or environment changes occur. This ensures safe, auditable interactions.

What is a read-first policy for AI task management and how does it work?

A read-first policy for AI task management prevents any action until the user explicitly approves it. It works by applying built-in safety checks across all requests, requiring explicit prompts before executing sensitive operations.

How do I set up guardrails to require explicit prompts for AI data writes?

You can set up guardrails by instructing the AI to wait for explicit user consent before performing actions. This enforces a read-first policy that blocks data writes, file changes, or environment modifications until approved.

Can I apply safety checks across all user requests to an AI assistant?

Yes, you can apply safety checks across all user requests to an AI assistant. This enforces a read-first policy that intercepts any task, ensuring no sensitive action occurs without explicit user confirmation and logged decisions.

Does enforcing a read-first policy for AI interactions support auditing user decisions?

Yes, enforcing a read-first policy supports auditing by generating safe, auditable prompts that require explicit user confirmation. This process logs the decision before executing any file write, system change, or environment modification.

What are the limitations of using a read-first policy for task management with AI?

A limitation of a read-first policy is that it prevents any action until explicit approval is given, which may interrupt automated workflows. It requires manual user consent for every data write or environment modification, slowing down task execution.