safety-net
CommunityProve safety with real recovery and privacy
AuthorBeltDoor
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps business owners overcome fear of data loss, privacy issues, and irreversible mistakes by demonstrating that their AI workspace can be safely restored and explaining where their information lives.
Core Features & Use Cases
- Undo Demonstration: Creates a real restore point, intentionally changes a test file, and proves it can be recovered byte-for-byte.
- Privacy Explanation: Generates a plain-English safety statement covering ownership, connected accounts, data handling, and recovery practices.
- Use Case: When an owner asks whether their AI system is secure or whether a mistake can be undone, use this Skill to provide a practical proof instead of only reassurance.
Quick Start
Ask the safety-net skill to prove the system can recover from mistakes and explain where my business data lives.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: safety-net Download link: https://github.com/BeltDoor/aios-template/archive/main.zip#safety-net Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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