grade-rule

Grade rule or command files using a standardized rubric with weighted scores.

2|Updated Dec 22, 2025
One-click install
npx skills add https://github.com/TMI-apps/boilerplate-vite-supabase-mui-cursor --skill grade-rule
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: grade-rule
Source: https://github.com/TMI-apps/boilerplate-vite-supabase-mui-cursor/tree/main/.cursor/skills/grade-rule
Command: npx skills add https://github.com/TMI-apps/boilerplate-vite-supabase-mui-cursor --skill grade-rule

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Grade an attached rule or command file using a rubric to deliver a rigorous, objective assessment.

Core Features & Use Cases

  • Rubric-based evaluation of Cursor commands and context files.
  • Generates structured scores across key criteria (clarity, handling ambiguity, structure, completeness, actionability, guardrails).
  • Use case: QA teams validating the quality of user-provided rule contexts in Cursor workflows.

Quick Start

Grade the attached rule or command file using the rubric and return a scored report.

Frequently Asked Questions about grade-rule

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

FAQPage Schema
How do I evaluate the quality of a Cursor rule file?

You can grade a Cursor rule file using a standardized rubric that evaluates clarity, ambiguity handling, structure, completeness, actionability, and safety, outputting a weighted score and formal grade.

What is a rubric-based assessment for code review commands?

A rubric-based assessment for code review commands scores rule files across predefined criteria like actionability and guardrails to deliver a rigorous, objective quality assurance evaluation.

Can I use a standardized rubric to grade command context files?

Yes, you can use a standardized rubric to grade command context files by evaluating completeness and safety, generating structured scores to validate rule quality in Cursor workflows.

How do I score ambiguity handling in AI coding rules?

Scoring ambiguity handling in AI coding rules requires applying a predefined weight from a quality assurance rubric to measure how well the command file manages unclear scenarios safely.

What are the limitations of using a weighted scoring rubric for code review?

A limitation of using a weighted scoring rubric for code review is that it strictly evaluates attached rule or command files against predefined weights, restricting assessment to documented file content.