eval-config

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

726|123|Updated Feb 11, 2026
One-click install
npx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill eval-config
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: eval-config
Source: https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/eval-config
Command: npx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill eval-config

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Configure the evaluation system for a brand by setting thresholds, weights, and auto-reject rules to control content quality scoring.

Core Features & Use Cases

  • Global thresholds, per-dimension weights, and auto-reject rules to enforce quality.
  • Content-type overrides and industry-aware recommendations to tailor scoring.
  • Process-driven workflows for loading brand context, validating config, applying changes, and generating before/after impact analyses.

Quick Start

Run /dm:eval-config to view and adjust your brand's evaluation settings.

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 quality evaluation thresholds and weights for a specific brand?

To configure content quality evaluation thresholds and weights, load your brand context and adjust global thresholds, per-dimension weights, and auto-reject rules. The system validates config integrity before applying changes and generates a before/after impact analysis.

Can I set different content quality scoring rules for multiple content types?

Yes, content quality scoring supports content-type overrides. You can apply per-dimension controls and auto-reject rules tailored to specific content types within a brand's configuration profile.

What are auto-reject rules in content quality scoring and when should I use them?

Auto-reject rules in content quality scoring automatically fail content that falls below defined thresholds. Use them to enforce minimum quality standards and prevent substandard content from passing evaluation.

Does the content evaluation config support industry-specific scoring recommendations?

Yes, the content evaluation config provides industry-aware recommendations. These recommendations help tailor how scores are computed and enforced based on your brand's specific industry context.

How do I check the impact of changing content quality thresholds before applying them?

To check the impact of changing content quality thresholds, generate a before/after impact analysis. The system retrieves current configs, validates the integrity of your proposed changes, and compares the scoring outcomes.

Why are my content quality config changes not applying correctly across different brands?

Content quality config changes require loading the correct brand context and passing config integrity validation. Ensure you are retrieving the current configs for the intended brand before applying threshold and weight adjustments.