Individual skill
eval-config
Tune eval thresholds: dimension minimums, weights, auto-reject floors. "raise the hallucination threshold"
skills/eval-config/SKILL.md
Source commit cc45ca06eaf48abde3bb60fb79d31c41229c58db
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- Yes
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- Observed behavior
- Local scripts
- Last checked
- Nov 10, 2026
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- Repository last updated
- Nov 7, 2026
- License
- MIT
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- aeo Repository topic
- claude-code Repository topic
- claude-plugin Repository topic
- content-marketing Repository topic
- marketing-automation Repository topic
- seo Repository topic
- agent-skills Repository topic
- ai-marketing Repository topic
- eu-ai-act Repository topic
- geo Repository topic
- engineering Derived category
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# /digital-marketing-pro:eval-config
> **Script location.** If your host does not set `${CLAUDE_PLUGIN_ROOT}`, the scripts are in this plugin's `scripts/` folder, next to `skills/`. Run them with Python 3.10 or newer: `python`, or `python3` where `python` is not found (macOS, many Linux systems).
## 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):