eeat-content-quality-audit
Systematic content quality audit based on 80 CORE-EEAT standards, evaluating content's GEO (Generative Engine Optimization) and SEO (Search Engine Optimization) potential. Features 8-dimension scoring, weighted total calculation, veto item detection, and priority improvement recommendations. Applicable for pre-publication checks, competitive analysis, and AI citation potential assessment.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/281862066-a11y/eeat-content-quality-auditEEAT Content Quality Audit
This skill is developed based on the CORE-EEAT Content Benchmark, providing 80 standardized content quality audit criteria.
Skill Overview
This skill evaluates content quality through 80 standardized criteria across 8 core dimensions. It generates comprehensive audit reports including item-level scores, dimension scores, system scores (GEO/SEO), content-type weighted total scores, veto item detection, and priority action plans.
Applicable Scenarios
Use this skill when users request the following:
- Content quality check or audit
- EEAT scoring or E-E-A-T audit
- Content quality assessment
- CORE-EEAT audit
- GEO quality scoring
- Content improvement recommendations
- AI citation potential assessment
- Content optimization plan
- "How good is my content"
- "Can my content be cited by AI"
Core Capabilities
This skill can:
- Complete 80-Item Audit: Score each CORE-EEAT item as Pass/Partial/Fail
- Dimension Scoring: Calculate scores for all 8 dimensions (0-100 points each)
- System Scoring: Calculate GEO score (CORE) and SEO score (EEAT)
- Weighted Total Score: Calculate final score based on content-type specific weights
- Veto Item Detection: Flag critical credibility violations (T04, C01, R10)
- Priority Ranking: Identify top 5 improvement recommendations by impact
- Action Plan: Generate specific, actionable improvement steps
Content Types
This skill supports the following content types, each with different dimension weights:
- Product Review
- How-To Guide
- Comparison Review
- Landing Page
- Blog Post
- FAQ
- Alternative Recommendation
- Best Recommendation
- User Review
Usage
Basic Audit
Please audit the quality of the following content: [Content text or URL]
Perform content quality audit on [URL]
Specify Content Type
Audit this content as a product review: [Content]
Score this tutorial based on 80 criteria: [Content]
Comparison Audit
Audit the differences between my content and competitor's: [Your content] vs [Competitor content]
Data Input Requirements
Manual Data Input (Currently recommended):
Request users to provide:
- Content text, URL, or file path
- Content type (if cannot auto-detect): Product Review, How-To Guide, Comparison Review, Landing Page, Blog Post, FAQ, Alternative Recommendation, Best Recommendation, User Review
- Optional: Competitor content for comparative assessment
Note: Explicitly mark in the output which items cannot be fully evaluated due to lack of access (e.g., backlink data, Schema markup, site-level signals).
Execution Steps
When users request content quality audit, follow these steps:
Step 1: Audit Preparation
### Audit Preparation
**Content**: [Title or URL]
**Content Type**: [Auto-detected or user-specified]
**Dimension Weights**: [Load from content type weight table]
#### Veto Item Check (Emergency Brake)
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-281862066-a11y-eeat-content-quality-audit": {
"enabled": true,
"auto_update": true
}
}
}Related Skills
eeat-openclaw-skill-audit
OpenClaw Skill quality audit based on CORE-EEAT framework adapted for AI agent skills. Evaluates skill's utility (task completion efficiency) and security (safe execution). Features 80 standardized criteria, 8-dimension scoring, veto item detection for security vulnerabilities, and priority improvement recommendations. Applicable for skill selection, security vetting, and skill quality assessment.
Valuemining Lengthybooks
Skill by 281862066-a11y
herclaw-agentsystem
Self-improving AI agent framework with autonomous learning, skill creation, and self-evolution. Features: - Learning Loop: Autonomous learning from experience - Skill Creation: Auto-generate skills from patterns - Self-Evolution: RL-based continuous improvement - Persistent Memory: Cross-session three-layer memory - Nudge System: Proactive behavior triggers