review-panel

Coordinate parallel multi-model reviews to identify and prioritize code defects.

126|22|Updated Jun 22, 2025
One-click install
npx skills add https://github.com/raine/consult-llm --skill review-panel-raine
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review-panel
Source: https://github.com/raine/consult-llm/tree/main/skills/review-panel
Command: npx skills add https://github.com/raine/consult-llm --skill review-panel-raine

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Standalone multi-model code review of an existing diff. Multiple LLMs review in parallel; agent deduplicates, prioritizes by severity/confidence, and optionally applies localized fixes.

Core Features & Use Cases

  • Independent parallel reviews by multiple models
  • Agent synthesizes findings into a prioritized checklist
  • Optional, localized fixes where unambiguous

Quick Start

Load the consult-llm skill and run a diff review to have multiple models assess the changes in parallel.

Frequently Asked Questions about review-panel

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

FAQPage Schema
How do I run a multi-model code review on a software diff?

To run a multi-model code review, load the consult-llm skill and apply it to your diff. Multiple LLMs will review the changes in parallel, and the agent synthesizes the findings into a prioritized checklist for triage.

What is the best way to triage defects found in code changes across repositories?

The best way to triage defects is to use a coordinated multi-model review process. This approach identifies and surfaces defects in code changes by deduplicating findings and prioritizing them by severity and confidence.

Can I apply localized fixes automatically after a parallel code review?

Yes, you can apply localized fixes automatically. The agent optionally applies unambiguous fixes after synthesizing the prioritized findings from the independent parallel reviews of your software diff.

How does multi-model code review deduplicate and prioritize findings?

Multi-model code review deduplicates and prioritizes findings by having an agent synthesize the parallel outputs. The agent applies a consistent rubric to produce unified priorities based on severity and confidence for triage.

Do I need specific baseline files to perform a multi-model diff review?

You need to provide your software diffs, changed files, and baselines across repositories. The review process uses these inputs to prompt the multiple models with a consistent rubric and output structured findings.

When should I avoid using parallel multi-model reviews for code changes?

You should avoid parallel multi-model reviews when your code changes are ambiguous and require localized fixes, as the automated remediation is strictly optional and only applies where fixes are unambiguous.