hard-mode-mom-v2

Validate manual enforcement actions against MOM system invariants and event-driven principles.

Updated Mar 30, 2026
One-click install
npx skills add https://github.com/anpanmaaaan/FleziBCG --skill hard-mode-mom-v2
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hard-mode-mom-v2
Source: https://github.com/anpanmaaaan/FleziBCG/tree/main/docs/ai-skills/hard-mode-mom-v2
Command: npx skills add https://github.com/anpanmaaaan/FleziBCG --skill hard-mode-mom-v2

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

The hard-mode-mom-v2 Skill unit provides a strict, event-driven validation layer for manual reviews of FleziBCG's MOM system, ensuring accuracy and compliance during smaller-scale manual enforcement.

Core Features & Use Cases

  • Event-driven Execution: Ensures that all actions are performed in a controlled, event-driven manner.
  • Invariant Enforcement: Validates business invariants to maintain data integrity.
  • Test-first Approach: Offers a structured process for review and acceptance testing.
  • Use Case: For manual reviews of the MOM system, use the hard-mode-mom-v2 Skill to validate actions against predefined invariants and state machines.

Quick Start

Run the hard-mode-mom-v2 Skill to review a batch of manual enforcement actions for compliance with FleziBCG's MOM system invariants.

Frequently Asked Questions about hard-mode-mom-v2

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

FAQPage Schema
How do I validate manual enforcement actions against event-driven principles in a MOM system?

Validating manual enforcement actions in a MOM system requires checking actions against event-driven principles, business invariants, and test-first acceptance criteria to ensure compliance and maintain data integrity during reviews.

What is the test-first approach for manual MOM system reviews?

The test-first approach for manual MOM system reviews provides a structured process where acceptance testing and predefined invariants validate state machines and manual enforcement actions before final approval.

Can I use this validation approach for large-scale automated event-driven processing?

This validation approach is designed for smaller-scale manual reviews and compliance checks rather than large-scale automated event-driven processing, focusing on strict manual enforcement accuracy.

How do I enforce business invariants during a manual MOM review?

Enforcing business invariants during a manual MOM review involves validating each manual enforcement action against predefined state machines and invariant rules to maintain strict data integrity.

Why does my manual enforcement action fail invariant validation in the MOM system?

Manual enforcement actions fail invariant validation when they do not adhere to strict event-driven principles or violate predefined business invariants and test-first acceptance criteria within the MOM system.