agent-reviewer

Review AI agent changes against project rules for correctness and security.

3|Updated Jun 8, 2026
One-click install
npx skills add https://github.com/pax-k/pax-fullstack-harness --skill agent-reviewer-pax-k
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-reviewer
Source: https://github.com/pax-k/pax-fullstack-harness/tree/main/skills/agent-reviewer
Command: npx skills add https://github.com/pax-k/pax-fullstack-harness --skill agent-reviewer-pax-k

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill streamlines the review process for agent-generated changes, ensuring they adhere to project rules and minimize potential risks.

Core Features & Use Cases

  • Change Review: Inspects agent-generated changes for correctness, security, architecture, and other project rules.
  • Prioritized Findings: Prioritizes risks over style commentary, helping users focus on critical issues first.
  • Use Case: Before opening a pull request, use this Skill to review changes made by an AI agent, ensuring they meet project standards and are free from major issues.

Quick Start

Use the agent-reviewer skill to review the changes made by the AI agent in the 'latest-branch'.

Frequently Asked Questions about agent-reviewer

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

FAQPage Schema
How do I review AI-generated code changes for project compliance?

To review AI-generated code changes for project compliance, provide a diff inventory and relevant project rules. The review inspects changes for correctness, security, and architecture alignment, prioritizing risks over style commentary to reduce potential issues.

What is the best way to check agent-generated changes for security and architecture risks?

Checking agent-generated changes for security and architecture risks involves analyzing a diff inventory against project guidelines. This process prioritizes critical risk assessment over style commentary, ensuring changes meet project standards before opening a pull request.

Can I use an automated review to check configuration changes made by an AI agent?

Yes, you can use automated review to check configuration changes made by an AI agent. The review process applies to code, documentation updates, and configuration changes, verifying correctness and security against your established project rules.

Do I need a diff inventory to assess AI agent change management risks?

Yes, you need a diff inventory to assess AI agent change management risks. Providing a diff inventory alongside an analysis of relevant project rules is required to evaluate correctness, security, and architecture compliance effectively.

When should I review AI agent changes before opening a pull request?

You should review AI agent changes before opening a pull request to ensure they meet project standards. This pre-review step focuses on correctness, security, and architecture, prioritizing major risks to minimize potential issues before submission.