proposal-grader

Grades student research proposals using the Hug & Aeschbach rubric.

1|1|Updated Mar 31, 2026
One-click install
npx skills add https://github.com/mcmespinaa/scholar-support --skill proposal-grader
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: proposal-grader
Source: https://github.com/mcmespinaa/scholar-support/tree/main/skills/proposal-grader
Command: npx skills add https://github.com/mcmespinaa/scholar-support --skill proposal-grader

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Evaluates research proposal drafts against a standardized rubric, producing a structured assessment and actionable revision priorities to improve grading outcomes.

Core Features & Use Cases

  • Scores seven dimensions (originality, relevance, soundness, alignment, quality, feasibility) and provides a predicted A–F grade.
  • Delivers targeted revision guidance aligned with an adaptable rubric suitable for any research methods course.
  • Produces a clear, structured feedback report that can be shared with students and used for grade justification.

Quick Start

Provide the draft proposal file path or pasted text to be graded using the default Hug & Aeschbach rubric.

Frequently Asked Questions about proposal-grader

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

FAQPage Schema
How do I grade a research proposal using a rubric?

To grade a research proposal, provide the draft text or file path to apply the standardized Hug & Aeschbach rubric, which scores dimensions like originality, relevance, and soundness to generate a predicted A–F grade.

What is rubric-based assessment for academic writing?

Rubric-based assessment for academic writing evaluates proposals across multiple dimensions such as alignment, quality, and feasibility. This approach uses structured criteria to produce actionable revision guidance and a clear predicted grade for students.

How do I get structured feedback on a research methods proposal?

To get structured feedback on a research methods proposal, input the draft text to receive a report highlighting strengths and actionable revision priorities. The assessment aligns with an adaptable rubric suitable for any methods course.

Can I use a custom rubric to grade student proposals?

The grading system applies the default Hug & Aeschbach rubric but is adaptable for any research methods course. It scores seven dimensions to produce a structured assessment and targeted revision guidance for students.

What dimensions are evaluated in research proposal grading?

Research proposal grading evaluates seven dimensions: originality, relevance, soundness, alignment, quality, and feasibility. Scoring these areas reveals strengths and revision priorities to generate a predicted A–F grade and structured feedback.