legion:review-panel

Compose expert review panels that assign domain-weighted rubrics and synthesize consolidated reports.

72|8|Updated Mar 1, 2026
One-click install
npx skills add https://github.com/9thLevelSoftware/legion --skill legion-review-panel
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: legion:review-panel
Source: https://github.com/9thLevelSoftware/legion/tree/main/skills/review-panel
Command: npx skills add https://github.com/9thLevelSoftware/legion --skill legion-review-panel

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the creation of context-aware expert review panels to remove manual reviewer selection, reduce overlapping feedback, and produce a consolidated, actionable synthesis from multiple specialist reviewers.

Core Features & Use Cases

  • Dynamic panel composition: Selects 2-4 reviewers from the agent pool based on phase artifacts, detected domains, and intent filters.
  • Domain-weighted rubrics: Assigns domain-specific evaluation criteria and enforces confidence requirements so reviewers focus only on their authoritative areas.
  • Result synthesis & deduplication: Deduplicates findings by file location and severity, escalates severity when needed, filters out-of-domain critiques, and generates a consolidated verdict and reports.
  • Use Case: Run a security-focused review for a release candidate, automatically assemble reviewers, collect domain-scoped findings, and produce a prioritized security review report.

Quick Start

Compose a dynamic expert review panel for the current phase using phase artifacts and return the proposed panel with assigned rubrics.

Frequently Asked Questions about legion:review-panel

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

FAQPage Schema
How do I automate code review with multiple agent reviewers?▼

Automate code review by composing a dynamic expert panel that selects 2-4 reviewer agents based on phase artifacts. The panel evaluates modified file lists using domain-weighted rubrics, deduplicates findings by file location, and produces a consolidated synthesis report with aggregate verdicts.

How do I deduplicate overlapping feedback from multiple code reviewers?▼

Deduplicate overlapping reviewer feedback by enforcing severity rules and consolidating findings by file location. The system escalates severity when needed, filters out-of-domain critiques, and generates a unified report to prevent redundant manual cross-checking across specialist reviews.

What is domain-weighted rubric evaluation in a code review panel?▼

Domain-weighted rubric evaluation assigns specific criteria to reviewer agents based on detected project domains, ensuring reviewers focus only on their authoritative areas. It enforces confidence thresholds and filters out-of-domain critiques to maintain review accuracy and relevance.

How do I run a security-focused review for a release candidate?▼

Run a focused review by applying intent-based filters to phase artifacts like CONTEXT.md and SUMMARY.md. The system automatically assembles the required reviewers, collects domain-scoped findings, and outputs a prioritized, consolidated security review report.

Can I use agent-orchestration for cross-domain code reviews?▼

Yes, agent-orchestration supports cross-domain reviews by analyzing phase artifacts to detect multiple domains. It dynamically assigns reviewers from the agent pool to handle complex, multi-domain software project evaluations and synthesizes their findings.

What are the limitations of automated review panel synthesis?▼

Automated synthesis relies on phase artifacts like CONTEXT.md and modified file lists, meaning incomplete project context can limit reviewer assignment accuracy. It filters out-of-domain critiques, so findings outside the detected domains or assigned rubrics are excluded from the final verdict.