agent-native-audit

Audit codebases across eight agent-native architecture principles and produce a scored report.

Updated Mar 22, 2026
One-click install
npx skills add https://github.com/drhazemibclc/plate --skill agent-native-audit-drhazemibclc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-native-audit
Source: https://github.com/drhazemibclc/plate/tree/main/.codex/skills/agent-native-audit
Command: npx skills add https://github.com/drhazemibclc/plate --skill agent-native-audit-drhazemibclc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a structured, multi-principle evaluation of a codebase to ensure compliance with agent-native architecture standards.

Core Features & Use Cases

  • Eight principle audits are executed via parallel sub-agents, generating a scored report you can act on.
  • Centralized scoring with identified gaps and actionable recommendations to improve architectural alignment.
  • Useful for governance, code reviews, and architecture conformance across teams.

Quick Start

Run the agent-native-audit workflow against the target codebase to produce a scored, principle-by-principle report.

Frequently Asked Questions about agent-native-audit

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

FAQPage Schema
How do I audit my codebase for agent-native architecture compliance?

To audit a codebase for agent-native architecture, run the audit workflow to evaluate it across eight principles using parallel sub-agents. This generates a structured, scored report identifying architectural gaps and opportunities for remediation.

What is agent-native architecture and when do I need an audit?

Agent-native architecture is a design approach ensuring codebases are structured for seamless AI agent integration. Auditing it requires evaluating the codebase against established governance principles to identify structural gaps and generate actionable remediation recommendations.

Can I use a scored architecture audit for team governance and code reviews?

Yes, a scored architecture audit supports governance and code reviews by providing centralized, principle-by-principle scoring. Teams use the actionable scorecard to measure conformance, track architectural alignment, and prioritize remediation across projects.

How do parallel sub-agents evaluate architecture principles during an audit?

Parallel sub-agents evaluate architecture principles by executing eight concurrent audits across the codebase. This mechanism centralizes the results into a single scorecard, producing a comprehensive report with identified gaps and targeted recommendations.

What does an agent-native audit report include for remediation?

The audit produces a structured, actionable scorecard detailing principle-by-principle scores, identified architectural gaps, and specific recommendations. You use this report to prioritize remediation and improve codebase alignment with agent-native standards.