Automate multi-round external research critique via Codex MCP.
npx skills add https://github.com/jkfee/Auto-Research --skill research-review-jkfee
Please help me install this Agent Skill. Skill: research-review Source: https://github.com/jkfee/Auto-Research/tree/main/skills/research-review Command: npx skills add https://github.com/jkfee/Auto-Research --skill research-review-jkfee
This Skill provides an automated, rigorous external critique of your research work by coordinating multi-round reviews via Codex MCP, surfacing weak claims, missing experiments, and narrative gaps.
Provide your project context and specific questions to initiate Round 1 with the Codex MCP reviewer.
High-intent search queries and answers about installing and using this skill.
To get automated external review for your research paper, provide your project context, briefing, and specific questions to initiate a multi-round critique workflow via Codex MCP. The reviewer identifies logical gaps and unsupported claims, outputting a final consensus document.
Multi-round critique for experimental design works by orchestrating iterative feedback from an external reviewer backend via Codex MCP. It surfaces missing experiments and weaknesses across rounds, culminating in a final consensus review document with actionable recommendations.
Yes, you can use AI-guided review to improve narrative analysis for conference submissions. The process structures a stronger story and clearer contribution for venues like NeurIPS/ICML by identifying narrative gaps and refining the overall manuscript presentation.
Yes, you need a Codex MCP server setup to run automated paper reviews. The workflow requires configuring reviewer backends, feeding project context and questions to the server, and coordinating multi-round critiques to generate the final consensus feedback.
The best way to detect unsupported claims in a research report is by running a structured external review through Codex MCP. The multi-round critique workflow specifically targets weak claims, logical gaps, and missing experiments to strengthen scientific rigor.
You should not use automated research review when you lack a project briefing or cannot feed context and specific questions to the reviewer. The multi-round critique requires a Codex MCP server setup and structured project input to generate actionable feedback.
chenghaoYangCoordinate multi-round external research reviews using Codex MCP.
loriensleafsCritique decisions through decomposed claims, evidence verification, and adversarial review.
Leo1349Generate structured research paper outlines from narrative reports and experimental results.
satsuki-64Identify logical gaps, unjustified claims, and missing experiments in research work.
