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ce-agent-native-audit

Review codebases against agent-native architecture principles with parallel sub-agents.

1|Updated Jun 2, 2026
Search Tags:#code analysis#compliance#architecture review#agent-native#principle scoring
One-click install
npx skills add https://github.com/FFCfelps1/SGPPF_Maua --skill ce-agent-native-audit-ffcfelps1
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ce-agent-native-audit
Source: https://github.com/FFCfelps1/SGPPF_Maua/tree/main/.gemini/skills/ce-agent-native-audit
Command: npx skills add https://github.com/FFCfelps1/SGPPF_Maua --skill ce-agent-native-audit-ffcfelps1

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, sub-agents, reporting, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive review of codebases against agent-native architecture principles, ensuring compliance and identifying areas for improvement.

Core Features & Use Cases

  • Parallel Sub-Agent Audits: Simultaneously reviews codebase principles using parallel sub-agents.
  • Scored Reports: Generates a report with specific scores and recommendations for each principle.
  • Customizable Audits: Optional to audit a specific principle by providing an argument hint.
  • Use Case: Ideal for developers and architects looking to ensure their codebase adheres to agent-native architecture principles, improving system consistency and user experience.

Quick Start

Run the comprehensive architecture review with scored principles by invoking the ce-agent-native-audit skill.

Frequently Asked Questions about ce-agent-native-audit

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

FAQPage Schema
How do I review my codebase against agent-native architecture principles?▼

Run an agent-native architecture audit to review your codebase against principles like action parity, context injection, and tools as primitives, generating a scored compliance report with actionable recommendations.

What is agent-native architecture compliance scoring?▼

Agent-native architecture compliance scoring evaluates your codebase against principles like action parity and context injection, assigning specific scores to each principle and providing targeted recommendations for improvement.

Can I audit a specific agent-native principle instead of the whole codebase?▼

Yes, you can audit a specific agent-native architecture principle by providing an argument hint when invoking the skill, allowing the sub-agents to focus their analysis and scoring on that individual principle.

Do I need Python to run an agent-native architecture review?▼

Yes, you need Python installed because the architecture review requires Python libraries to perform the codebase analysis and generate the scored compliance reports.

How does the architecture review handle multiple agent-native principles?▼

The architecture review handles multiple agent-native principles by deploying parallel sub-agents that simultaneously analyze different principles, ensuring a comprehensive and efficient evaluation of your codebase.

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