LaunchKit · 2026
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content-quality-auditor

Use when the user asks to "audit content quality", "EEAT score", "content quality check", "CORE-EEAT audit", "how.

1
1.7k downloads
by @aaron-he-zhu

Setup & Installation

openclaw skills install @aaron-he-zhu/content-quality-auditor

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install content-quality-auditor

Version History

v3.0.0Mar 4, 2026 - Version note by skill developer:

Version 3.0.0 of content-quality-auditor - Expanded trigger phrases and description to cover E-E-A-T, helpful content, and GEO/AI citation readiness. - Added compatibility notes and allowed-tools section, including WebFetch support. - Introduced explicit support for Vercel Labs, ClawHub, and MCP network ecosystem. - Added new reference file: references/item-reference.md for complete item mapping. - Updated tags and metadata to reflect E-E-A-T, helpful content, and AI quality assessment. - Minor improvements for audit instructions and output example clarity.

What This Skill Does

Runs an 80-item content audit across 8 dimensions: Contextual Clarity, Organization, Referenceability, and Exclusivity (CORE, for GEO/AI citation readiness) plus Experience, Expertise, Authoritativeness, and Trust (EEAT, for SEO credibility). Each item is scored Pass, Partial, or Fail. The output includes dimension scores, a content-type-weighted total, veto item detection, and a prioritized fix plan.

It scores both GEO readiness (AI citation potential) and SEO credibility in one pass, so you don't need separate tools for each signal.

When to use it

  • Checking a blog post against E-E-A-T criteria before publishing
  • Scoring a product review page for AI citation potential
  • Comparing your article quality against a competitor's page
  • Finding which sections of a how-to guide are weakest
  • Running periodic quality checks across existing content

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Run a content quality audit on https://example.com/product-review as a product review

AGENT
  1. 1Fetches page content from the provided URL
  2. 2Detects content type as 'Product Review' and loads the corresponding dimension weights
  3. 3Checks three veto items (T04, C01, R10) first and flags any critical violations
  4. 4Scores all 80 CORE-EEAT items as Pass, Partial, or Fail across 8 dimensions
  5. 5Calculates GEO Score, SEO Score, and weighted total, then ranks the top 5 improvements by impact
OUTPUT

Audit report with per-item scores, dimension breakdown, GEO/SEO scores, veto status, and a prioritized action plan grouped by effort level