ce-agent-native-audit

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

Updated Sep 25, 2024
One-click install
npx skills add https://github.com/kwam1na/athena --skill ce-agent-native-audit-kwam1na
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ce-agent-native-audit
Source: https://github.com/kwam1na/athena/tree/main/.agents/skills/ce-agent-native-audit
Command: npx skills add https://github.com/kwam1na/athena --skill ce-agent-native-audit-kwam1na

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Traditional reviews of agent-native systems are ad-hoc and slow. This Skill provides a repeatable, scored audit across eight core principles to quickly identify gaps and prioritize improvements.

Core Features & Use Cases

  • Parallel principle audits: eight sub-agents assess Action Parity, Tools as Primitives, Context Injection, Shared Workspace, CRUD Completeness, UI Integration, Capability Discovery, and Prompt-Native Features.
  • Structured scoring: each principle yields a numeric X/Y score and a final overall score.
  • Actionable recommendations: the audit outputs concrete gaps and recommended mitigations.
  • Comprehensive summary: compiles results into a single, shareable report for stakeholders.

Quick Start

Run the ce-agent-native-audit workflow to kick off the eight-principle audits and generate the summary report.

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 audit and score my agent-native architecture across core principles?

Audit agent-native architecture by running eight parallel principle audits that validate interactions, tools, prompts, data stores, and UI hooks. The process generates a scored report with per-principle numeric scores, an overall score, and documented recommendations to prioritize improvements.

What principles are evaluated during an agent-native architecture review?

An agent-native architecture review evaluates eight core principles: Action Parity, Tools as Primitives, Context Injection, Shared Workspace, CRUD Completeness, UI Integration, Capability Discovery, and Prompt-Native Features. Each principle receives a numeric score and identified gaps for actionable mitigations.

How does an automated agent-native architecture audit compare to a manual code review?

An automated agent-native architecture audit provides a repeatable, scored evaluation across eight principles using parallel sub-agents, whereas manual reviews are ad-hoc and slow. This approach quickly identifies architectural gaps and outputs concrete mitigations compiled into a shareable summary report.

Can I audit an agent-native system if it only has prompts and tools without UI hooks?

Yes, the audit applies to codebases with agent-native interactions, tools, prompts, data stores, and UI hooks. It evaluates available components against the eight principles, scoring system completeness and generating recommendations even if certain integration layers are absent.

What is the best way to identify gaps in an agent-native codebase before deployment?

Run an automated eight-principle audit to identify gaps in an agent-native codebase. The audit evaluates Action Parity, CRUD Completeness, and Capability Discovery in parallel, producing a scored report with concrete mitigations to prioritize architecture improvements before deployment.