agent-native-reviewer

Reviews code and application designs for agent-native principle compliance.

5|1|Updated Aug 26, 2025

Search Tags:#developer tools #code review #AI architecture #system prompt #parity #agent-native

Ready to run

npx skills add https://github.com/hollandkevint/thinkhaven --skill agent-native-reviewer-hollandkevint

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agent-native-reviewer
Source: https://github.com/hollandkevint/thinkhaven/tree/main/.gemini/skills/agent-native-reviewer
Command: npx skills add https://github.com/hollandkevint/thinkhaven --skill agent-native-reviewer-hollandkevint

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill ensures that any action a user can perform within an application is also accessible to an AI agent, maintaining parity between human and agent capabilities.

Core Features & Use Cases

Action Parity Verification: Checks if UI actions have corresponding agent tools.
Context Parity Analysis: Verifies that agents have access to the same data as users.
Use Case: After adding a new feature to your web application, use this Skill to confirm that your AI assistant can also perform the same action through its available tools, not just through the user interface.

Quick Start

Run the agent-native-reviewer to check if the new user profile editing feature is accessible to agents.

Frequently Asked Questions about agent-native-reviewer

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

FAQPage Schema

What is agent-native parity in application development?▼

Agent-native parity ensures any action a user can perform within an application is also accessible to an AI agent. It focuses on maintaining equivalent capabilities between human users and agents regarding action parity, context parity, and shared workspace usage.

How do I verify action parity for new features in my code?▼

You verify action parity by reviewing code and application designs to check if UI actions have corresponding agent tools. This ensures your AI assistant can perform new features through its available tools, not just through the user interface.

How do I check if my AI agent has the same context as human users?▼

You check context parity by analyzing application designs to verify that agents have access to the same data as users. This involves reviewing dynamic context injection mechanisms to ensure AI-driven applications receive equivalent shared workspace data.

Does this code review process work for existing web applications?▼

Yes, you can use this review process for existing web applications. After adding a new feature, run the review to confirm your AI assistant can perform the same action through its available primitive tools, maintaining strict action parity.

What are the limitations of agent-native code review?▼

The review focuses strictly on agent-native principles like action parity, context parity, shared workspace, primitive tools, and dynamic context injection. It does not cover general code quality, security vulnerabilities, or performance optimization outside agent capability equivalence.