Content Quality Auditor

Content Quality Auditor

> Based on CORE-EEAT Content Benchmark. Full benchmark reference: [references/core-eeat-benchmark.md](../../references/core-eeat-benchmark.md)

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 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 recommendation: after content is written or substantially edited, the command-backed hook may recommend 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](../../references/skill-contract.md).

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 critical issues, dimension scores above threshold) / FIX (issues found but none critical) / BLOCK (a critical trust issue failed — see "Critical Issue to Fix" in the report). Always state the verdict prominently at the top of the report using plain language, not item IDs.

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, and supporting evidence.
• 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.
• Done when: all 80 CORE-EEAT items are scored or marked N/A, a SHIP/FIX/BLOCK verdict is stated, cap_applied/raw_overall_score/final_overall_score are set, and any veto (T04/C01/R10) is surfaced with a fix.
• Primary next skill: use the Next Best Skill below once the verdict is clear.

Data Sources

> See [CONNECTORS.md](../../CONNECTORS.md) for tool category placeholders.

With ~~web crawler + ~~SEO tool connected: Fetch only user-provided or authorized URLs after [SECURITY.md §Scraping Boundaries](../../SECURITY.md); then extract HTML, schema, links, and competitor content.

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]

#### Critical Trust Check (Emergency Brake)

| Check | Status | Action |
|-------|--------|--------|
| Affiliate links disclosed | ✅ Pass / ⚠️ CRITICAL | [If CRITICAL: "Add disclosure banner at page top immediately"] |
| Title matches page content | ✅ Pass / ⚠️ CRITICAL | [If CRITICAL: "Rewrite title and first paragraph to match"] |
| Data points are consistent | ✅ Pass / ⚠️ CRITICAL | [If CRITICAL: "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](../../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](references/item-reference.md) for the complete 80-item ID lookup table and site-level item handling notes.

Auditor Runbook — read this first

Before scoring, Read ../../references/auditor-runbook.md. It is the authoritative, framework-agnostic procedure: §1 Handoff Schema, §2 Critical Fail Cap method + decision table + deterministic rounding, §4 Artifact Gate 7-item checklist, §5 User-Facing Translation format, and the untrusted-content security boundary. It loads locally via relative path (no network) — do not skip it. This skill body carries only the CORE-EEAT-specific pieces below: the weighted worked examples, the content-level guardrails, and the CORE-EEAT veto-ID translation rows.

Handoff Summary

Emit the auditor-class handoff defined in [references/auditor-runbook.md §1](../../references/auditor-runbook.md): status, objective, key_findings, evidence_summary, recommended_next_skill, plus the auditor fields cap_applied, raw_overall_score (content-type weighted, floor-rounded, before cap), and final_overall_score.

§2 (CORE-EEAT) · Worked examples — weighted cap arithmetic

> Walk the runbook's §2 decision table, then mirror the matching example below. raw_overall_score > is the content-type weighted total (Σ dimension × weight from > [core-eeat-benchmark.md §Content-Type Weight Table](../../references/core-eeat-benchmark.md)), > floor-rounded, before the cap. Never the unweighted /8 mean.

Worked example 1 — single veto, raw dim above cap (Product Review)

Dimensions:  C=75 O=77 R=80 E=75 Exp=78 Ept=77 A=77 T=85
Weights (Product Review): C .10  O .10  R .15  E .20  Exp .20  Ept .05  A .05  T .15
Weighted:    75×.10 + 77×.10 + 80×.15 + 75×.20 + 78×.20 + 77×.05 + 77×.05 + 85×.15
           = 7.5 + 7.7 + 12.0 + 15.0 + 15.6 + 3.85 + 3.85 + 12.75 = 78.25 → raw_overall = 78

Veto check: T04 failed (affiliate links without disclosure)

After cap:  T dimension 85 → 60 (capped down, raw > 60)
            Overall 78 → 60 (any veto forces overall cap)

Handoff:    cap_applied: true   raw_overall_score: 78   final_overall_score: 60
            key_findings:
              - title: "Missing affiliate disclosure"
                severity: veto
                evidence: "No disclosure banner; 3 affiliate links detected in body"

Worked example 2 — single veto, raw dim already below cap (FAQ Page)

Dimensions:  C=55 O=75 R=88 E=80 Exp=80 Ept=75 A=82 T=85
Weights (FAQ Page): C .25  O .25  R .15  E .05  Exp .05  Ept .10  A .05  T .10
Weighted:    55×.25 + 75×.25 + 88×.15 + 80×.05 + 80×.05 + 75×.10 + 82×.05 + 85×.10
           = 13.75 + 18.75 + 13.2 + 4.0 + 4.0 + 7.5 + 4.1 + 8.5 = 73.8 → raw_overall = 73

Veto check: C01 failed (clickbait — title doesn't match content)

After cap:  C dimension 55 → 55 (unchanged; cap is a ceiling, not a floor)
            Overall 73 → 60 (overall still capped because a veto is present)

Handoff:    cap_applied: true   raw_overall_score: 73   final_overall_score: 60
            key_findings:
              - title: "Title promises something the page doesn't deliver"
                severity: veto
                evidence: "Title: '10 Free Tools'; body delivers 3 free tools and 7 paid"

The C dimension stays 55 in the internal report — it is NOT raised to 60. Note that the weighted total (73) differs from the unweighted /8 mean (77) — always score with the weighted total.

Worked example 3 — 2+ veto fails (BLOCKED path)

Dimensions:  C=75 O=77 R=80 E=75 Exp=78 Ept=77 A=77 T=85  (Product Review weights → raw_overall = 78)

Veto check: T04 AND R10 both failed

Resolution: status: BLOCKED — do NOT compute capped scores.
            raw_overall_score retained for record; final_overall_score omitted.

Handoff:    status: BLOCKED   cap_applied: false   raw_overall_score: 78
            open_loops:
              - "2 veto items failed: T04 (affiliate disclosure) and R10 (data inconsistency)"
              - "Multi-veto cap calibration pending; page requires manual review before re-scoring"
            key_findings:
              - title: "Missing affiliate disclosure"
                severity: veto
              - title: "Data points contradict each other"
                severity: veto

§3 (CORE-EEAT) · Guardrail Negatives (content / page reframes)

These signals are POSITIVE under the stated condition. Award points, do not deduct. Conditions are explicit — unconditional reframes cause false negatives.

| Signal | Treat as positive WHEN | Example flag rule | |---|---|---| | Year marker in title/body | Year is within [current_year − 2, current_year] | "2026" in 2026: freshness positive. "2020" in 2026: R-dimension concern — do NOT award freshness | | Numbered list ("5 best", "Top 10", "3 steps") | Always | CTR positive, counts toward O-dimension structure | | Qualifier ("Open-Source", "Self-Hosted", "Free", "Local-First") | Always | Narrow intent, counts toward E-dimension exclusivity | | Short acronym ("SEO", "AI", "CRM", "API") | Always | Never apply length or stop-word filter to these tokens | | Homepage brand-first title ("Acme \| AI Workflow") | The page IS the homepage | Correct pattern; do not flag under C01 | | Inner-page keyword-first title ("AI Workflow for Teams — Acme") | The page is NOT the homepage | Correct pattern; do not flag under C01 |

If context contradicts a positive reframe (e.g. an explicitly evergreen page carrying a year stamp), state the exception in the finding's evidence field. Evaluate current_year dynamically at audit time.

§5 (CORE-EEAT) · Veto-ID translation rows

Use alongside the runbook's shared translation rows. These are the CORE-EEAT veto meanings — never the CITE ones.

| Internal | User-facing | |---|---| | "T04 failed" | "Missing affiliate disclosure" | | "C01 veto triggered" | "Title doesn't match what the page delivers" | | "R10 failure" | "Data on the page contradicts itself" |

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)

|

…

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [aaron-he-zhu](https://github.com/aaron-he-zhu)
- **Source:** [aaron-he-zhu/aaron-marketing-skills](https://github.com/aaron-he-zhu/aaron-marketing-skills)
- **License:** Apache-2.0

Install and usage instructions live in the source repository linked above.