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.