review

Automate quality review of Open-FARS research projects with the open-fars-judge agent.

3|Updated Feb 21, 2026
One-click install
npx skills add https://github.com/hztBUAA/open-fars-template --skill review-hztbuaa
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review
Source: https://github.com/hztBUAA/open-fars-template/tree/main/template/.claude/skills/review
Command: npx skills add https://github.com/hztBUAA/open-fars-template --skill review-hztbuaa

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the process of quality assurance for AI-driven research projects, ensuring that each stage of the pipeline meets predefined standards before proceeding.

Core Features & Use Cases

  • Intelligent Target Detection: Automatically identifies what needs reviewing (e.g., completed stages, updated results, papers) based on project status.
  • Flexible Review Modes: Supports reviewing specific stages, the entire paper, or auditing plan vs. execution.
  • Use Case: After an AI completes an experimental stage in your research project, you can trigger /review to have the judge agent assess the results, identify any deviations from the plan, and provide a pass/fail verdict.

Quick Start

Run the review skill to automatically assess the current state of the research project.

Frequently Asked Questions about review

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

FAQPage Schema
How do I automate quality assurance reviews for AI-driven research pipelines?

Automate quality assurance by triggering a review process that detects critical research items like completed stages or draft papers, invoking a judge agent to assess results against plans. This ensures pipeline stages meet predefined standards before proceeding.

Can I audit plan versus execution deviations in an automated research project?

Yes, you can audit plan versus execution deviations using the audit mode. The review skill evaluates updated experimental results and completed stages, identifying discrepancies to provide a pass or fail verdict for the research project.

What review modes are supported for automated paper review and stage validation?

Supported review modes include 'paper' for evaluating draft papers, 'stage S{N}' for validating specific research stages, and 'audit' for comparing planned tasks against actual execution outcomes within the research pipeline.

How does intelligent target detection work for research stage reviews?

Intelligent target detection works by automatically identifying the most critical item requiring review based on project status, such as completed experimental stages or updated results, then invoking the judge agent to assess the targeted research output.

Does the automated review skill support custom focus queries for paper review?

Yes, the review skill supports user-defined focus queries to guide the paper review process. These queries allow you to direct the judge agent's attention to specific quality assurance criteria during the automated assessment.

What happens when a critical failure is detected during a research stage review?

When a critical failure is detected during a research stage review, the skill manages review rounds, persists the review outcomes, and escalates the critical failure to ensure the research pipeline meets predefined quality standards.