xsm-bf

Builds privacy-safe disaster-recovery packages for AI workbenches and local components.

20|2|Updated May 23, 2026
One-click install
npx skills add https://github.com/cbl980712-coder/xsm-bf --skill xsm-bf
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xsm-bf
Source: https://github.com/cbl980712-coder/xsm-bf/tree/main
Command: npx skills add https://github.com/cbl980712-coder/xsm-bf --skill xsm-bf

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Backups for AI workbenches often miss critical workflow instructions and may leak secrets. This Skill creates privacy-safe disaster-recovery packages that preserve continuity while keeping credentials out of the archive.

Core Features & Use Cases

  • Configurable backups of local skills, automations, project tools, and continuity memory templates.
  • Self-audited restore workflow with a built-in restoration protocol, archive verification, and cloud-replacement support.
  • Daily reminder and one-command rebuild flow to guarantee recoverability across devices.

Quick Start

Create a private backup.config.json with your paths and cloud settings, then run run-confirmed-backup.ps1 to build, verify, and optionally upload the recovery package.

Frequently Asked Questions about xsm-bf

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

FAQPage Schema
How do I back up my AI workbench without exposing credentials in the archive?

Privacy-safe AI workbench backups require building disaster-recovery packages that exclude secrets from the archive. This Skill creates configurable backups for local skills, automations, and memory templates while keeping credentials out of the recovery files.

What is a self-audited restore workflow for AI automations?

A self-audited restore workflow verifies archive integrity and supports cloud replacement during recovery. This Skill provides a built-in restoration protocol to safely restore skills, automations, and memory templates across configurable clouds.

How do I configure cloud backup settings for local AI skills and templates?

Configuring cloud backup for AI skills requires a private backup.config.json file specifying your paths and cloud settings. You then run a build script to generate, verify, and optionally upload the recovery package to your preferred cloud storage.

Can I use this backup approach for recovering memory templates across different devices?

Yes, recovering memory templates across devices is supported through a one-command rebuild flow. The Skill includes daily reminders and cloud-replacement support to guarantee recoverability of your continuity templates on any configured device.

What is the best way to automate disaster recovery for local AI project tools?

Automating disaster recovery for local AI project tools involves scheduled rebuilds and self-audited restore protocols. This Skill provides a one-command flow to build and verify recovery packages, ensuring your tools and automations remain continuously recoverable.

Do I need a specific config file to build a privacy-safe recovery package?

Yes, you need a user-specified backup.config.json file containing your local paths and cloud settings. This configuration file is required to run the build script and generate a verified, privacy-safe disaster-recovery archive.