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deep-grade

Grade venture proposals against a calibrated dataset of student projects using Brain data.

2|Updated Mar 22, 2026
Search Tags:#project assessment#structured feedback#venture grading#calibrated data#Brain MCP
One-click install
npx skills add https://github.com/jsagir/mindrian-os-plugin --skill deep-grade
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-grade
Source: https://github.com/jsagir/mindrian-os-plugin/tree/main/skills/deep-grade
Command: npx skills add https://github.com/jsagir/mindrian-os-plugin --skill deep-grade

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the grading of ventures against a calibrated set of 100+ student projects, providing a structured and detailed assessment.

Core Features & Use Cases

  • Calibrated Grading: Offers a calibrated grade on the room's quality, comparing against 100+ real student projects.
  • Teaching Context: Provides explanations and encouragement based on the grading results.
  • Next Steps: Recommends specific commands to address weak components in the assessment.
  • Venture Journey Connection: Connects the assessment to the user's venture journey.

Quick Start

Use the /mos:deep-grade command to grade your venture against the calibrated set.

Frequently Asked Questions about deep-grade

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

FAQPage Schema
How does automated venture grading work with calibrated project data?▼

Automated venture grading evaluates new proposals against a calibrated dataset of over 100 student projects using Brain data to identify strengths and areas for improvement.

How do I grade a venture proposal using Brain MCP?▼

To grade a venture proposal, execute the `/mos:deep-grade` command, which requires Brain MCP and access to the Grading Agent to process and assess the submission.

Do I need a Grading Agent to assess venture quality?▼

Yes, accessing the Grading Agent and having Brain MCP connectivity are required prerequisites to generate calibrated venture grades and structured project feedback.

Can I get structured feedback for educational project assessment?▼

Yes, the venture grading process provides teaching context, offering explanations and encouragement based on grading results to support educational project assessment scenarios.

What steps should I take after receiving a weak venture assessment?▼

After identifying weak components in your venture assessment, the system recommends specific commands to execute as next steps to address and improve those areas.

What is the difference between calibrated grading and manual project assessment?▼

Calibrated grading compares your venture against a dataset of 100+ real student projects to ensure consistent quality measurement, unlike manual assessment which lacks structured data calibration.

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