Content quality auditor
Skill ulpi-io/plugin-marketplace/plugins/aaron-he-zhu/skills/content-quality-auditor
This skill should be used when the user asks to "audit content quality", "EEAT score", "E-E-A-T audit", "content quality check", "CORE-EEAT audit", "helpful content assessment", "experience expertise authoritativeness trust", "how good is my content", "is my content AI-citation worthy", "content improvement plan", "helpful content update impact", or "GEO quality score". Runs the full 80-item CORE-EEAT audit across 8 dimensions: Contextual Clarity, Organization, Referenceability, Exclusivity (CORE, GEO-focused) plus Experience, Expertise, Authoritativeness, Trust (EEAT, SEO-focused). Produces a GEO Score, SEO Score, content-type weighted total, per-item pass/partial/fail, and prioritized fix plan with veto item checks. For SEO page element audits, see on-page-seo-auditor. For domain-level authority, see domain-authority-auditor.From its SKILL.md
npx -y skills add ulpi-io/plugin-marketplace --skill content-quality-auditorAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its file declares
Copied from the file, not written here
The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
14.5 KB, ~3.3k tokens by cl100k_base, as published. Nobody here has run it
Content Quality Auditor
Based on CORE-EEAT Content Benchmark. Full benchmark reference: references/core-eeat-benchmark.md
<details> <summary>Browse all 20 skills</summary>SEO & GEO Skills Library · 20 skills for SEO + GEO · Install all:
npx skills add aaron-he-zhu/seo-geo-claude-skills
Research · keyword-research · competitor-analysis · serp-analysis · content-gap-analysis
Build · seo-content-writer · geo-content-optimizer · meta-tags-optimizer · schema-markup-generator
Optimize · on-page-seo-auditor · technical-seo-checker · internal-linking-optimizer · content-refresher
Monitor · rank-tracker · backlink-analyzer · performance-reporter · alert-manager
Cross-cutting · content-quality-auditor · domain-authority-auditor · entity-optimizer · memory-management
</details>This skill evaluates content quality across 80 standardized criteria organized in 8 dimensions. It produces a comprehensive audit report with per-item scoring, dimension and system scores, weighted totals by content type, and a prioritized action plan.
When to Use This Skill
- Auditing content quality before publishing
- Evaluating existing content for improvement opportunities
- Benchmarking content against CORE-EEAT standards
- Comparing content quality against competitors
- Assessing both GEO readiness (AI citation potential) and SEO strength (source credibility)
- Running periodic content quality checks as part of a content maintenance program
- After writing or optimizing content with seo-content-writer or geo-content-optimizer
What This Skill Does
- Full 80-Item Audit: Scores every CORE-EEAT check item as Pass/Partial/Fail
- Dimension Scoring: Calculates scores for all 8 dimensions (0-100 each)
- System Scoring: Computes GEO Score (CORE) and SEO Score (EEAT)
- Weighted Totals: Applies content-type-specific weights for final score
- Veto Detection: Flags critical trust violations (T04, C01, R10)
- Priority Ranking: Identifies Top 5 improvements sorted by impact
- Action Plan: Generates specific, actionable improvement steps
How to Use
Audit Content
Audit this content against CORE-EEAT: [content text or URL]
Run a content quality audit on [URL] as a [content type]
Audit with Content Type
CORE-EEAT audit for this product review: [content]
Score this how-to guide against the 80-item benchmark: [content]
Comparative Audit
Audit my content vs competitor: [your content] vs [competitor content]
Data Sources
See CONNECTORS.md for tool category placeholders.
With ~~web crawler + ~~SEO tool connected: Automatically fetch page content, extract HTML structure, check schema markup, verify internal/external links, and pull competitor content for comparison.
With manual data only: Ask the user to provide:
- Content text, URL, or file path
- Content type (if not auto-detectable): Product Review, How-to Guide, Comparison, Landing Page, Blog Post, FAQ Page, Alternative, Best-of, or Testimonial
- Optional: competitor content for benchmarking
Proceed with the full 80-item audit using provided data. Note in the output which items could not be fully evaluated due to missing access (e.g., backlink data, schema markup, site-level signals).
Instructions
When a user requests a content quality audit:
Step 1: Preparation
### Audit Setup
**Content**: [title or URL]
**Content Type**: [auto-detected or user-specified]
**Dimension Weights**: [loaded from content-type weight table]
#### Veto Check (Emergency Brake)
| Veto Item | Status | Action |
|-----------|--------|--------|
| T04: Disclosure Statements | ✅ Pass / ⚠️ VETO | [If VETO: "Add disclosure banner at page top immediately"] |
| C01: Intent Alignment | ✅ Pass / ⚠️ VETO | [If VETO: "Rewrite title and first paragraph"] |
| R10: Content Consistency | ✅ Pass / ⚠️ VETO | [If VETO: "Verify all data before publishing"] |
If any veto item triggers, flag it prominently at the top of the report and recommend immediate action before continuing the full audit.
Step 2: CORE Audit (40 items)
Evaluate each item against the criteria in references/core-eeat-benchmark.md.
Score each item:
- Pass = 10 points (fully meets criteria)
- Partial = 5 points (partially meets criteria)
- Fail = 0 points (does not meet criteria)
### C — Contextual Clarity
| ID | Check Item | Score | Notes |
|----|-----------|-------|-------|
| C01 | Intent Alignment | Pass/Partial/Fail | [specific observation] |
| C02 | Direct Answer | Pass/Partial/Fail | [specific observation] |
| ... | ... | ... | ... |
| C10 | Semantic Closure | Pass/Partial/Fail | [specific observation] |
**C Score**: [X]/100
Repeat the same table format for O (Organization), R (Referenceability), and E (Exclusivity), scoring all 10 items per dimension.
Step 3: EEAT Audit (40 items)
### Exp — Experience
| ID | Check Item | Score | Notes |
|----|-----------|-------|-------|
| Exp01 | First-Person Narrative | Pass/Partial/Fail | [specific observation] |
| ... | ... | ... | ... |
**Exp Score**: [X]/100
Repeat the same table format for Ept (Expertise), A (Authority), and T (Trust), scoring all 10 items per dimension.
See references/item-reference.md for the complete 80-item ID lookup table and site-level item handling notes.
Step 4: Scoring & Report
Calculate scores and generate the final report:
## CORE-EEAT Audit Report
### Overview
- **Content**: [title]
- **Content Type**: [type]
- **Audit Date**: [date]
- **Total Score**: [score]/100 ([rating])
- **GEO Score**: [score]/100 | **SEO Score**: [score]/100
- **Veto Status**: ✅ No triggers / ⚠️ [item] triggered
### Dimension Scores
| Dimension | Score | Rating | Weight | Weighted |
|-----------|-------|--------|--------|----------|
| C — Contextual Clarity | [X]/100 | [rating] | [X]% | [X] |
| O — Organization | [X]/100 | [rating] | [X]% | [X] |
| R — Referenceability | [X]/100 | [rating] | [X]% | [X] |
| E — Exclusivity | [X]/100 | [rating] | [X]% | [X] |
| Exp — Experience | [X]/100 | [rating] | [X]% | [X] |
| Ept — Expertise | [X]/100 | [rating] | [X]% | [X] |
| A — Authority | [X]/100 | [rating] | [X]% | [X] |
| T — Trust | [X]/100 | [rating] | [X]% | [X] |
| **Weighted Total** | | | | **[X]/100** |
**Score Calculation**:
- GEO Score = (C + O + R + E) / 4
- SEO Score = (Exp + Ept + A + T) / 4
- Weighted Score = Σ (dimension_score × content_type_weight)
**Rating Scale**: 90-100 Excellent | 75-89 Good | 60-74 Medium | 40-59 Low | 0-39 Poor
### N/A Item Handling
When an item cannot be evaluated (e.g., A01 Backlink Profile requires site-level data not available):
1. Mark the item as "N/A" with reason
2. Exclude N/A items from the dimension score calculation
3. Dimension Score = (sum of scored items) / (number of scored items x 10) x 100
4. If more than 50% of a dimension's items are N/A, flag the dimension as "Insufficient Data" and exclude it from the weighted total
5. Recalculate weighted total using only dimensions with sufficient data, re-normalizing weights to sum to 100%
**Example**: Authority dimension with 8 N/A items and 2 scored items (A05=8, A07=5):
- Dimension score = (8+5) / (2 x 10) x 100 = 65
- But 8/10 items are N/A (>50%), so flag as "Insufficient Data -- Authority"
- Exclude A dimension from weighted total; redistribute its weight proportionally to remaining dimensions
### Per-Item Scores
#### CORE — Content Body (40 Items)
| ID | Check Item | Score | Notes |
|----|-----------|-------|-------|
| C01 | Intent Alignment | [Pass/Partial/Fail] | [observation] |
| C02 | Direct Answer | [Pass/Partial/Fail] | [observation] |
| ... | ... | ... | ... |
#### EEAT — Source Credibility (40 Items)
| ID | Check Item | Score | Notes |
|----|-----------|-------|-------|
| Exp01 | First-Person Narrative | [Pass/Partial/Fail] | [observation] |
| ... | ... | ... | ... |
### Top 5 Priority Improvements
Sorted by: weight × points lost (highest impact first)
1. **[ID] [Name]** — [specific modification suggestion]
- Current: [Fail/Partial] | Potential gain: [X] weighted points
- Action: [concrete step]
2. **[ID] [Name]** — [specific modification suggestion]
- Current: [Fail/Partial] | Potential gain: [X] weighted points
- Action: [concrete step]
3–5. [Same format]
### Action Plan
#### Quick Wins (< 30 minutes each)
- [ ] [Action 1]
- [ ] [Action 2]
#### Medium Effort (1-2 hours)
- [ ] [Action 3]
- [ ] [Action 4]
#### Strategic (Requires planning)
- [ ] [Action 5]
- [ ] [Action 6]
### Recommended Next Steps
- For full content rewrite: use [seo-content-writer](../../build/seo-content-writer/) with CORE-EEAT constraints
- For GEO optimization: use [geo-content-optimizer](../../build/geo-content-optimizer/) targeting failed GEO-First items
- For content refresh: use [content-refresher](../../optimize/content-refresher/) with weak dimensions as focus
- For technical fixes: run `/seo:check-technical` for site-level issues
Validation Checkpoints
Input Validation
- Content source identified (text, URL, or file path)
- Content type confirmed (auto-detected or user-specified)
- Content is substantial enough for meaningful audit (≥300 words)
- If comparative audit, competitor content also provided
Output Validation
- All 80 items scored (or marked N/A with reason)
- All 8 dimension scores calculated correctly
- Weighted total matches content-type weight configuration
- Veto items checked and flagged if triggered
- Top 5 improvements sorted by weighted impact, not arbitrary
- Every recommendation is specific and actionable (not generic advice)
- Action plan includes concrete steps with effort estimates
Example
See references/item-reference.md for a complete scored example showing the C dimension with all 10 items, priority improvements, and weighted scoring.
Tips for Success
- Start with veto items — T04, C01, R10 are deal-breakers regardless of total score
These veto items are consistent with the CORE-EEAT benchmark (Section 3), which defines them as items that can override the overall score.
- Focus on high-weight dimensions — Different content types prioritize different dimensions
- GEO-First items matter most for AI visibility — Prioritize items tagged GEO 🎯 if AI citation is the goal
- Some EEAT items need site-level data — Don't penalize content for things only observable at the site level (backlinks, brand recognition)
- Use the weighted score, not just the raw average — A product review with strong Exclusivity matters more than strong Authority
- Re-audit after improvements — Run again to verify score improvements and catch regressions
- Pair with CITE for domain-level context — A high content score on a low-authority domain signals a different priority than the reverse; run domain-authority-auditor for the full 120-item picture
Reference Materials
- CORE-EEAT Content Benchmark — Full 80-item benchmark with dimension definitions, scoring criteria, and GEO-First item markers
- references/item-reference.md — All 80 item IDs in a compact lookup table + site-level item handling notes + scored example report
Related Skills
- domain-authority-auditor — Domain-level CITE audit (40 items) — the sister skill for full 120-item assessment
- seo-content-writer — Write content that scores high on CORE dimensions
- geo-content-optimizer — Optimize for GEO-First items
- content-refresher — Update content to improve weak dimensions
- on-page-seo-auditor — Technical on-page audit (complements this skill)
What ships with it: 1 file
5.3 KB alongside SKILL.md
references/
- item-reference.md5.3 KB