eval-config

Configure content evaluation thresholds, scoring weights, and auto-reject rules per brand.

Updated May 18, 2026
One-click install
npx skills add https://github.com/ajayatwal1105-emerson/digital-marketing-pro --skill eval-config-ajayatwal1105-emerson
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: eval-config
Source: https://github.com/ajayatwal1105-emerson/digital-marketing-pro/tree/main/skills/eval-config
Command: npx skills add https://github.com/ajayatwal1105-emerson/digital-marketing-pro --skill eval-config-ajayatwal1105-emerson

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

It removes guesswork from content evaluation by letting you explicitly set how strict scoring should be and when content should auto-fail, per brand and per content type.

Core Features & Use Cases

  • Threshold tuning: Set minimum acceptable scores (0–100) per quality dimension like claim verification, hallucination risk, readability, and structure.
  • Weighted scoring: Adjust how different dimensions contribute to the composite score based on industry and brand priorities.
  • Auto-reject rules: Define a composite score floor that automatically rejects substandard content to protect quality and compliance.
  • Content-type overrides: Apply different quality bars for different formats so, for example, awareness content can be evaluated with a different strictness than compliance-critical deliverables.
  • Industry recommendations: Generate suggested configurations using brand context, industry priorities, and any guideline requirements.

Quick Start

Run /digital-marketing-pro:eval-config and choose the recommend action to get industry-appropriate threshold and weight settings for your active brand.

Frequently Asked Questions about eval-config

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

FAQPage Schema
How do I configure content evaluation thresholds for brand governance?

Content evaluation thresholds are configured by setting minimum acceptable scores (0–100) per quality dimension, such as claim verification and hallucination risk, using the active brand profile to enforce brand governance rules.

Can I apply different scoring weights to content quality dimensions based on industry priorities?

Yes, you can adjust scoring weights to control how quality dimensions contribute to the composite score, and generate industry recommendations to align configuration settings with specific industry and brand priorities.

How do I set up auto-reject rules for substandard content scoring?

Auto-reject rules are established by defining a composite score floor that automatically fails substandard content, protecting quality and compliance by preventing low-scoring deliverables from passing quality gates.

What is the best way to evaluate compliance-critical content differently from awareness content?

Content-type overrides allow you to apply different quality bars for different formats, ensuring compliance-critical deliverables are evaluated with stricter scoring thresholds than awareness content.

Does the quality threshold configuration validate scoring weights and threshold ranges?

Yes, the configuration process validates weight sums and threshold ranges to ensure mathematical accuracy, presenting effective scoring behavior with before and after impact analysis for your brand profile.

How do I get industry-appropriate threshold and weight settings for my active brand?

Run the recommend action to generate suggested configurations using brand context, industry priorities, and guideline requirements, providing industry-appropriate threshold and weight settings for your active brand profile.