← All skills
Tencent SkillHub · Data Analysis

Content Quality Auditor

Runs a full CORE-EEAT 80-item content quality audit, scoring content across 8 dimensions with weighted scoring by content type. Produces a detailed report wi...

skill openclawclawhub Free
0 Downloads
0 Stars
0 Installs
0 Score
High Signal

Runs a full CORE-EEAT 80-item content quality audit, scoring content across 8 dimensions with weighted scoring by content type. Produces a detailed report wi...

⬇ 0 downloads ★ 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, references/item-reference.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
3.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 18 sections Open source page

Content Quality Auditor

Based on CORE-EEAT Content Benchmark. Full benchmark reference: references/core-eeat-benchmark.md 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 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

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

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)

Category context

Data access, storage, extraction, analysis, reporting, and insight generation.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
2 Docs
  • SKILL.md Primary doc
  • references/item-reference.md Docs