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agent-reviewer

Review Custom Agents by loading AGENT.md and generating a prioritized improvement report.

1|Updated Dec 14, 2014
Search Tags:#automation#checklist#quality-review#sub-agent#review-report#ai-governance#agent-review
One-click install
npx skills add https://github.com/goldeneggg/dotfiles --skill agent-reviewer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-reviewer
Source: https://github.com/goldeneggg/dotfiles/tree/main/claude-linux/.claude/skills/agent-reviewer
Command: npx skills add https://github.com/goldeneggg/dotfiles --skill agent-reviewer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Reviews existing Custom Agents and provides improvement recommendations based on a comprehensive checklist.

Core Features & Use Cases

  • Reads AGENT.md to extract agent intent and constraints.
  • Applies a structured, multi-phase evaluation to generate actionable findings with priority labels.
  • Generates an interactive, stepwise report that guides improvements and production readiness.

Quick Start

Load the target Agent's AGENT.md and run the reviewer to produce a structured report.

Frequently Asked Questions about agent-reviewer

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

FAQPage Schema
How do I review a Custom Agent and generate an improvement report?▼

To review a Custom Agent, load its AGENT.md file and run the agent-reviewer to apply a formal checklist, generating a structured report with prioritized, actionable improvement recommendations.

What is an agent quality review checklist?▼

An agent quality review checklist is a structured, multi-phase evaluation framework applied to an agent's AGENT.md to validate frontmatter, system prompts, and tool usage constraints, producing prioritized findings for production readiness.

How do I check if my AGENT.md is production ready?▼

You can check AGENT.md production readiness by running an automated review that validates frontmatter, analyzes system prompts, and enforces tool usage constraints to output a stepwise report with actionable recommendations.

Can I automate AI governance reviews for my Custom Agents?▼

Yes, you can automate AI governance reviews by loading an agent's AGENT.md file and running a formal checklist evaluation to generate a reproducible, structured improvement report with clear priority labels.

What does a structured agent review report include?▼

A structured agent review report includes actionable findings with priority labels, frontmatter validation results, and stepwise guidance for improvements, generated after applying a formal evaluation checklist to the target agent.

What are the limitations of using an automated checklist for agent reviews?▼

The automated checklist review relies entirely on reading the AGENT.md file to evaluate agent intent and constraints, meaning it cannot assess runtime behavior, dynamic tool execution, or external integration failures outside the documented configuration.

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