consensus-review

Orchestrate parallel multi-agent code reviews with adaptive budgets and consolidated reports.

Updated Jan 7, 2026
One-click install
npx skills add https://github.com/fyrsmithlabs/marketplace --skill consensus-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: consensus-review
Source: https://github.com/fyrsmithlabs/marketplace/tree/main/plugins/fs-dev/skills/consensus-review
Command: npx skills add https://github.com/fyrsmithlabs/marketplace --skill consensus-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill orchestrates a multi-agent consensus review process for code changes, reducing review time and improving issue detection through parallel evaluation by specialized reviewers.

Core Features & Use Cases

  • Parallel Agent Dispatch: Simultaneously engages multiple review agents to analyze the same scope, increasing coverage.
  • Adaptive Budgeting: Allocates tokens and time across agents to balance depth and speed.
  • Contextual Isolation: Uses branch isolation when reviewing large scopes to prevent cross-interference.
  • Use Case: When evaluating a PR with complex changes, kick off a consensus review to surface diverse concerns and compile a consolidated report.

Quick Start

Run a consensus review on the current branch with: /fs-dev:consensus-review

  • Review a specific directory: /fs-dev:consensus-review src/utils/
  • Review a subset of agents: /fs-dev:consensus-review --agents security-reviewer,vulnerability-reviewer

Frequently Asked Questions about consensus-review

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

FAQPage Schema
How do I run a multi-agent code review on a pull request?

You can run a multi-agent code review by dispatching specialized agents in parallel across your pull requests, directories, or code changes to evaluate the scope simultaneously and compile a consolidated review report.

What is parallel agent dispatch in code review?

Parallel agent dispatch is a mechanism that simultaneously engages multiple specialized review agents to analyze the same code scope, increasing overall coverage and reducing the time needed to detect issues.

How does adaptive budgeting work for parallel code reviews?

Adaptive budgeting allocates tokens and time dynamically across multiple review agents to balance analytical depth and processing speed, ensuring efficient resource usage during the code review process.

Can I use specific agents to review a subset of my code changes?

Yes, you can review a subset of code changes by specifying agent names as command arguments, allowing you to engage only selected specialized reviewers like security or vulnerability agents for targeted analysis.

When should I use branch isolation for code reviews?

You should use branch isolation when reviewing large code scopes to prevent cross-interference between parallel agents, ensuring each agent operates within a clean, contextual boundary managed via contextd.