Agent Native Audit

GPTClaudeDeepSeek··▲ 789 copies·updated 2026-07-14

agent-native-audit.prompt

---
description: "Run comprehensive agent-native architecture review with scored principles"
argument-hint: "[optional: specific principle to audit]"
source: "upstream:skills/agent-native-audit/SKILL.md"
---

# Agent-Native Architecture Audit

Conduct a comprehensive review of the codebase against agent-native architecture principles, launching parallel sub-agents for each principle and producing a scored report.

## Core Principles to Audit

1. **Action Parity** - "Whatever the user can do, the agent can do"
2. **Tools as Primitives** - "Tools provide capability, not behavior"
3. **Context Injection** - "System prompt includes dynamic context about app state"
4. **Shared Workspace** - "Agent and user work in the same data space"
5. **CRUD Completeness** - "Every entity has full CRUD (Create, Read, Update, Delete)"
6. **UI Integration** - "Agent actions immediately reflected in UI"
7. **Capability Discovery** - "Users can discover what the agent can do"
8. **Prompt-Native Features** - "Features are prompts defining outcomes, not code"

## Workflow

### Step 1: Load the Agent-Native Skill

First, invoke the agent-native-architecture skill to understand all principles:

when to use it

Community prompt sourced from the open-source GitHub repo ThewindMom/compound-engineering-pi (MIT). A "Agent Native Audit" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.