| name | eval-config |
| description | View and tune the brand's content evaluation settings — per-dimension minimum score thresholds, composite weight distribution, auto-reject floors, and content-type overrides — with validation, before/after scoring comparisons, and industry-based recommendations. Outputs an updated, internally consistent eval configuration. Triggers on "/digital-marketing-pro:eval-config", "raise the hallucination threshold", "why did this draft auto-reject", "recommend eval settings for healthcare", "reset eval scoring to defaults". Reads the brand profile and guidelines, writes via eval-config-manager.py, and pairs with /digital-marketing-pro:eval-content to see the new bar in action. |
/digital-marketing-pro:eval-config
Purpose
Configure the evaluation system for a brand. Set minimum quality thresholds per dimension, adjust scoring weights based on industry priorities and content strategy, configure auto-reject thresholds that prevent substandard content from passing evaluation, and define content-type-specific quality standards that apply different bars to different formats.
The eval config determines how strictly content is scored and what the quality bar looks like for the brand. A healthcare company may weight hallucination risk and claim verification heavily while relaxing readability thresholds for technical audiences. A consumer brand may prioritize brand voice and readability while accepting lighter claim verification for awareness content. An agency managing multiple brands can set different configs per brand. This command makes those trade-offs explicit and adjustable rather than buried in defaults.
Input Required
The user must provide (or will be prompted for):
- Configuration action: What to do —
view (show current settings via get-config), set-threshold (change a minimum score for a dimension; add --content-type to scope the override to one content type), set-weights (change dimension weight distribution; add --content-type for a per-type override), (change the composite score below which content automatically fails), (analysis only — get industry-appropriate settings suggestions), or (restore all settings to defaults). There is no separate action — content-type overrides are applied by passing to / .
