grant-review

Analyze grant proposals against NIH and NSF review criteria.

42|7|Updated Mar 23, 2026
One-click install
npx skills add https://github.com/neuromechanist/research-skills --skill grant-review-neuromechanist
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: grant-review
Source: https://github.com/neuromechanist/research-skills/tree/main/plugins/grant/skills/grant-review
Command: npx skills add https://github.com/neuromechanist/research-skills --skill grant-review-neuromechanist

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the process of critically analyzing and scoring grant proposals based on official NIH and NSF review criteria, helping reviewers produce comprehensive, fair, and constructive feedback.

Core Features & Use Cases

  • Criterion-specific scoring: Assess proposals across significance, investigators, innovation, approach, and environment.
  • Standardized review output: Generate clear, detailed reviews adhering to agency templates including strengths, weaknesses, and suggested improvements.
  • Use Case: A panel reviewer uses this Skill to evaluate a submitted NIH R01 application, ensuring all review criteria are thoroughly considered and communicated.

Quick Start

Input a grant proposal document to receive a detailed review aligned with NIH or NSF guidelines.

Frequently Asked Questions about grant-review

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

FAQPage Schema
How do I evaluate an NIH grant proposal against official review criteria?

To evaluate an NIH grant proposal, this Skill analyzes the document for scientific merit, innovation, and approach, applying structured scoring templates to generate detailed feedback based on official review criteria.

What is the best way to score NSF broader impacts during a grant review?

The best way to score NSF broader impacts is to use a structured grant review process that evaluates the proposal against NSF standards, generating a comprehensive assessment of broader impacts alongside scientific merit.

Can I generate standardized review feedback for multiple funding agencies?

Yes, you can generate standardized review feedback for multiple funding agencies. This Skill supports both NIH and NSF standards, producing detailed reviews with strengths, weaknesses, and suggested improvements.

How do I structure a fair grant proposal evaluation for an R01 application?

To structure a fair grant proposal evaluation for an R01 application, input the document into a review system that assesses significance, investigators, innovation, approach, and environment using standardized templates.

Does this grant review approach require familiarity with proposal structures?

Yes, this grant review approach requires familiarity with official review criteria and proposal structures to ensure the automated scoring and generated feedback align properly with agency standards.

What limitations exist when automating scoring for scientific merit and innovation?

A limitation when automating scoring for scientific merit and innovation is that the system requires a complete proposal document to function, meaning incomplete submissions may yield reviews lacking comprehensive criterion-specific feedback.