Draft QA — Message Quality Scoring (MQS)

Score email drafts against multi-point quality rubrics with mechanical and AI checks.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/bostonrobbie/BDR --skill draft-qa-message-quality-scoring-mqs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Draft QA — Message Quality Scoring (MQS)
Source: https://github.com/bostonrobbie/BDR/tree/main/skills/draft-qa
Command: npx skills add https://github.com/bostonrobbie/BDR --skill draft-qa-message-quality-scoring-mqs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automatically scores email drafts against a detailed rubric, catching mechanical errors and evaluating subjective quality to ensure messages are professional, personalized, and effective before they are sent to prospects.

Core Features & Use Cases

  • Automated Scoring: Evaluates drafts based on a 12-point (T1) or 9-point (T2) rubric.
  • Mechanical Checks: Verifies word count, question marks, subject line format, named customers, brand mentions, and placeholder text.
  • AI Judgment Checks: Assesses intro relevance, challenge hook specificity, Call-to-Action (CTA) effectiveness, proof point rotation, and conversational tone.
  • Hard Fail Detection: Identifies critical errors that require immediate rejection.
  • Use Case: Before sending a T1 outreach email, run this skill to ensure it meets the minimum quality score of 9/12, preventing common mistakes like incorrect word count or generic openings.

Quick Start

Run the QA check on the provided email draft.

Frequently Asked Questions about Draft QA — Message Quality Scoring (MQS)

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

FAQPage Schema
How do I score email drafts for sales outreach quality?

To check sales outreach quality, run your drafts against a multi-point rubric that evaluates word count, personalization, CTAs, and proof points. This process catches mechanical errors and applies AI judgment to ensure messages meet minimum score thresholds before sending.

What is message quality scoring and how does it evaluate outreach emails?

Message quality scoring evaluates email drafts against a detailed rubric to catch mechanical errors and assess subjective quality. It grades criteria like intro relevance, challenge hook specificity, CTA effectiveness, and conversational tone to ensure professional outreach.

How do I detect toxic phrases and hard fails in my outreach emails?

Detect toxic phrases and hard fails by applying automated quality checks to your email drafts. Hard fails identify critical errors requiring immediate rejection, while toxic phrase detection flags language that could harm your sales outreach effectiveness.

Can I use automated draft scoring for both T1 and T2 outreach campaigns?

Yes, automated draft scoring supports both T1 and T2 outreach campaigns. The system applies a 12-point rubric for T1 emails and a 9-point rubric for T2 emails, ensuring both campaign types meet minimum quality thresholds before sending.

What are the limitations of AI judgment checks for email quality evaluation?

AI judgment checks for email quality evaluation are limited to assessing subjective elements like intro relevance, challenge hook specificity, CTA effectiveness, and conversational tone. They do not replace human review for nuanced context or highly specialized outreach scenarios.