eval-config
Configure content eval settings. Use when: adjusting score thresholds, dimension weights, or auto-reject rules.
npx skills add indranilbanerjee/digital-marketing-pro --skill eval-config --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# /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 overr
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What does the eval-config skill do?
Configure content eval settings. Use when: adjusting score thresholds, dimension weights, or auto-reject rules.
How do I install it?
Run `npx skills add indranilbanerjee/digital-marketing-pro --skill eval-config --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From indranilbanerjee/digital-marketing-pro, a repository with 700 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.