eval-content

Installation
SKILL.md

/dm:eval-content

Purpose

Comprehensive content evaluation using the full eval pipeline. Runs content through six scoring dimensions — content quality, brand voice, hallucination risk, claim verification, output structure, and readability — to produce a composite score with letter grade, flag specific issues with fix suggestions, and compare against brand quality baselines. This is the go-to command before any content goes to publication, client review, or campaign launch.

Every evaluation is logged to the quality tracker so regression detection, trend analysis, and brand-level quality reporting work continuously. If the brand has custom thresholds or dimension weights configured via /dm:eval-config, those are applied automatically — otherwise industry-standard defaults are used.

Input Required

The user must provide (or will be prompted for):

  • Content to evaluate: The text to score — provided inline, as a pasted block, or as a file path. Supports any marketing content format: blog post, email, ad copy, social post, landing page, press release, content brief, campaign plan, or custom
  • Content type (optional): One of blog_post, email, ad_copy, social_post, landing_page, press_release, content_brief, campaign_plan, or custom. If omitted, the eval runner auto-detects based on content structure and length. Content type determines which built-in schema is used for structure validation and which readability benchmarks apply
  • Evidence file (optional): A JSON file containing verifiable claims with source data — required for full claim verification scoring. Format: [{"claim": "...", "source": "...", "date": "...", "verified": true}]. If not provided, claim verification runs in extraction-only mode and flags all specific claims as "unverified — evidence recommended"
  • Schema (optional): A custom JSON schema file for structure validation — used when the content type does not match any of the 8 built-in schemas, or when the brand has a custom template that defines required sections, word counts, and formatting rules

Process

Related skills
Installs
31
GitHub Stars
100
First Seen
Feb 27, 2026