levelup-validate

Scan team-ai-directives for rule conflicts and update verification timestamps.

Updated Jul 7, 2026
One-click install
npx skills add https://github.com/eavichay/mycli --skill levelup-validate-eavichay
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: levelup-validate
Source: https://github.com/eavichay/mycli/tree/main/.cursor/skills/levelup-validate
Command: npx skills add https://github.com/eavichay/mycli --skill levelup-validate-eavichay

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill resolves rule conflicts and prevents directive decay within team-ai-directives, ensuring that your AI's operational guidelines remain coherent, up-to-date, and aligned with core principles.

Core Features & Use Cases

  • Conflict Detection: Automatically identifies direct, implicit, and constitutional contradictions between rules.
  • Memory Verification: Updates verification timestamps and resets age tracking for valid directives, maintaining a clean and fresh knowledge base.
  • CDR Generation: Automatically creates Conflict Decision Records (CDRs) for any detected issues, providing a clear path for manual resolution.

Quick Start

Run the levelup-validate skill to scan all directives for conflicts and update verification timestamps for valid rules.

Frequently Asked Questions about levelup-validate

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

FAQPage Schema
How do I detect conflicts and inconsistencies in team AI directives?

Detect conflicts in team AI directives by scanning rule repositories to identify direct, implicit, and constitutional contradictions. The validation process automatically generates Conflict Decision Records to provide a clear resolution path for the detected issues.

What is memory verification for AI directives?

Memory verification for AI directives is the process of updating verification timestamps and resetting age tracking for valid rules. It applies memory engineering principles to maintain a clean, fresh knowledge base and prevent directive decay.

Do I need a spec-kit project structure to validate rule repositories?

Yes, you need a spec-kit project structure with a `.specify` directory to execute validation scripts. This environment is required to scan rule repositories, perform memory verification, and generate conflict resolution records.

How do I generate Conflict Decision Records for rule contradictions?

Generate Conflict Decision Records automatically by running a validation scan across your team-ai-directives repository. The script detects direct, implicit, and constitutional rule conflicts and outputs CDRs for manual resolution.

How do I prevent directive decay and maintain freshness in AI rule repositories?

Prevent directive decay by performing memory verification on valid directives to update timestamps and reset age tracking. This maintains rule freshness and ensures operational guidelines remain coherent and aligned with core principles.

What types of rule contradictions can automated directive validation identify?

Automated directive validation identifies direct contradictions, implicit conflicts, and constitutional inconsistencies between rules. It scans team-ai-directives across repositories to ensure operational guidelines remain coherent.