ce-agent-native-audit

To audit agent-native architecture, this skill launches parallel sub-agents to evaluate each core principle across your codebase, producing per-principle scores and a prioritized improvement plan for architecture hardening.

A cross-agent architecture audit evaluates codebases with multiple sub-agents and diverse data flows. It applies parallel audits to measure compliance with core principles, including security risks like prompt injection, and generates a scored report.

You generate a compliance score report by running the audit workflow, which orchestrates eight parallel principle audits. It summarizes results with per-principle scores and outputs a unified report with concrete gaps and remediation recommendations.

Yes, this audit is specifically designed for codebases with multiple sub-agents and diverse data flows. It evaluates architecture compliance across eight core principles and provides a prioritized improvement plan to guide remediation.

The best way to harden AI sub-agents is coordinating a cross-agent architecture audit. This process evaluates compliance with core principles in parallel, generating a scored report with prioritized recommendations to guide architecture improvements.

While the audit orchestrates eight parallel sub-agents to evaluate core principles and generate scored reports, it focuses on architecture compliance and producing a prioritized improvement plan rather than automatically applying code fixes.