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golden-principles

Define ten core operating principles governing AI agent behavior and infrastructure decisions.

Updated Mar 16, 2026
Search Tags:#best practices#ai#agent#governance#principles#rules
One-click install
npx skills add https://github.com/batuhanysv/sdx-agentic-infraops --skill golden-principles-batuhanysv
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: golden-principles
Source: https://github.com/batuhanysv/sdx-agentic-infraops/tree/main/.github/skills/golden-principles
Command: npx skills add https://github.com/batuhanysv/sdx-agentic-infraops --skill golden-principles-batuhanysv

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill codifies the fundamental operating principles for AI agents within this repository, ensuring consistent, reliable, and governed behavior.

Core Features & Use Cases

  • Governs Agent Behavior: Provides a clear framework for how agents should operate, make decisions, and interact with the system.
  • Ensures Consistency: Promotes adherence to best practices like "Repository Is the System of Record" and "AVM-First, Security Baseline Always."
  • Use Case: When an agent needs to decide how to store its output or validate a resource, it consults these principles to ensure it follows the established conventions.

Quick Start

Consult the golden principles to understand how agents should operate.

Frequently Asked Questions about golden-principles

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

FAQPage Schema
What are AI agent operating principles for infrastructure development?▼

AI governance principles ensure consistent agent behavior by codifying rules like using the repository as the system of record and prioritizing AVM modules with a security baseline. This framework provides a structured approach to infrastructure development.

How do I enforce governance rules for AI agents in my repository?▼

You enforce governance rules by applying operating principles that dictate agent behavior and decision-making. This involves prioritizing AVM modules with a security baseline and ensuring mechanical enforcement of rules over relying on documentation.

Can I use these governance principles to manage how AI agents store output?▼

Yes, these governance principles manage AI agent output storage by directing agents to consult the framework for established conventions. This ensures decisions like using the repository as the system of record are consistently followed.

What is the best way to ensure AI agents follow security baselines and AVM modules?▼

The best way to ensure AI agents follow security baselines and AVM modules is by applying operating principles that mandate an AVM-first approach. This governance framework mechanically enforces the security baseline always requirement for infrastructure development.

Why prioritize mechanical enforcement of rules over documentation for AI agents?▼

Mechanical enforcement of rules over documentation is prioritized to ensure AI agents consistently adhere to governance principles without relying on manual interpretation. This guarantees reliable behavior and a structured approach to infrastructure development.

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