Content Quality Auditor

Stop publishing content that underperforms. This skill runs a rigorous 80-item CORE-EEAT audit across 8 dimensions — giving you a clear publish/fix/block verdict, weighted scores by content type, and a prioritized action plan so you know exactly what to improve before hitting publish.

How to start:

Audit the quality of [URL]

Based on CORE-EEAT Content Benchmark · Part of the SEO & GEO Skills Library · 20 skills · ClawHub · skills.sh

When This Must Trigger

Use this when content needs a quality check before publishing — even if the user doesn't use audit terminology:

• User asks "is this ready to publish" or "how good is this"
• User just finished writing with seo-content-writer or content-refresher
• PostToolUse hook auto-triggers: after content is written or substantially edited, the hook recommends this audit. When hook-triggered, skip setup questions — audit the content that was just produced.
• 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

1. Full 80-Item Audit: Scores every CORE-EEAT check item as Pass/Partial/Fail
2. Dimension Scoring: Calculates scores for all 8 dimensions (0-100 each)
3. System Scoring: Computes GEO Score (CORE) and SEO Score (EEAT)
4. Weighted Totals: Applies content-type-specific weights for final score
5. Veto Detection: Flags critical trust violations (T04, C01, R10)
6. Priority Ranking: Identifies Top 5 improvements sorted by impact
7. Action Plan: Generates specific, actionable improvement steps

Quick Start

Start with one of these prompts. Finish with a publish verdict and a handoff summary using the repository format in Skill Contract.

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]

Skill Contract

Gate verdict: SHIP (no veto items, dimension scores above threshold) / FIX (issues found but no veto) / BLOCK (veto item T04, C01, or R10 failed). Always state the verdict prominently at the top of the report.

Expected output: a CORE-EEAT audit report, a publish-readiness verdict, and a short handoff summary ready for

memory/audits/content/

• Reads: the target content, content type, supporting evidence, and any prior decisions from CLAUDE.md and the shared State Model when available.
• Writes: a user-facing audit report plus a reusable summary that can be stored under

  memory/audits/content/

  .
• Promotes: veto items and publish blockers to

  memory/hot-cache.md

  (auto-saved, no user confirmation needed). Top improvement priorities to

  memory/open-loops.md

  .
• Next handoff: use the

  Next Best Skill

  below once the verdict is clear.

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:

1. Content text, URL, or file path
2. Content type (if not auto-detectable): Product Review, How-to Guide, Comparison, Landing Page, Blog Post, FAQ Page, Alternative, Best-of, or Testimonial
3. 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).

Decision Gates

When stopping to ask, always: (1) state the specific value and threshold, (2) offer numbered options with outcomes.

Stop and ask the user when:

• Content is under minimum word count for its type (blog/guide: 300 words; product/landing page: 150 words; FAQ: fewer than 3 entries with 50+ words each) — state the actual count and offer: (1) expand to minimum, (2) continue audit with Insufficient Data flags, (3) cancel
• Content type cannot be auto-detected — state what you detected and ask to confirm before proceeding
• Content is primarily media (video/image) with minimal text — ask whether to audit transcript, alt text, or skip
• More than 50% of a dimension's items are N/A — name the dimension and ask: (1) provide supplementary data, (2) mark entire dimension as Insufficient Data
• Any veto item triggers — flag it immediately with the item ID and ask: (1) stop for immediate fix, (2) continue full audit and flag in report

Continue silently (never stop for):

• Individual Partial scores within a dimension
• Missing SEO tool data (mark items as N/A and continue)
• Low overall score (the report is the deliverable, not a judgment call)
• User not specifying content type (auto-detect and state your assumption)

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` with CORE-EEAT constraints
- For GEO optimization: use `geo-content-optimizer` targeting failed GEO-First items
- For content refresh: use `content-refresher` with weak dimensions as focus
- For technical fixes: run `/seo:check-technical` for site-level issues

Save Results

After delivering findings to the user, ask:

"Save these results for future sessions?"

If yes, write a dated summary to the appropriate

memory/

YYYY-MM-DD-<topic>.md

• One-line verdict or headline finding
• Top 3-5 actionable items
• Open loops or blockers
• Source data references

If any veto-level issue was found (CORE-EEAT T04, C01, R10 or CITE T03, T05, T09), also append a one-liner to

memory/hot-cache.md

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

1. 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.

2. Focus on high-weight dimensions — Different content types prioritize different dimensions
3. GEO-First items matter most for AI visibility — Prioritize items tagged GEO 🎯 if AI citation is the goal
4. Some EEAT items need site-level data — Don't penalize content for things only observable at the site level (backlinks, brand recognition)
5. Use the weighted score, not just the raw average — A product review with strong Exclusivity matters more than strong Authority
6. Re-audit after improvements — Run again to verify score improvements and catch regressions
7. 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

Next Best Skill

• Primary: content-refresher — turn failed checks into a concrete rewrite plan.

Related Skills

Part of the SEO & GEO Skills Suite — 20 specialized skills for search optimization.

content-refresher

domain-authority-auditor

seo-content-writer

geo-content-optimizer