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Publish-readiness gate: 80-item CORE-EEAT audit with weighted scoring, veto checks, and fix plan. 内容质量/EEAT评分
version
6.0.0
license
Apache-2.0
allowed-tools
WebFetch
compatibility
Claude Code ≥1.0, skills.sh marketplace, ClawHub marketplace, Vercel Labs skills ecosystem. No system packages required. Optional: MCP network access for SEO tool integrations.
Use when auditing content quality before publishing. Runs CORE-EEAT 80-item scoring with veto checks. Also when the user asks for E-E-A-T analysis or publish readiness.
argument-hint
<URL or paste content> [keyword]
metadata
{"author":"aaron-he-zhu","version":"6.0.0","geo-relevance":"high","tags":["seo","geo","e-e-a-t","core-eeat","content-quality","content-scoring","helpful-content","publish-readiness","内容质量","コンテンツ品質","콘텐츠품질","auditoria-eeat"],"triggers":["audit content quality","EEAT score","CORE-EEAT audit","content quality check","content assessment","quality score","is this ready to publish","grade my article","check before publishing","how good is my content","is my content good enough to rank","rate my content quality","is my content ready to publish","how do I improve content quality","内容质量审计","EEAT评分","内容评估","文章能发吗","内容打几分","文章写得怎么样","コンテンツ品質監査","E-E-A-T評価","콘텐츠 품질 감사","EEAT 점수","auditoría de calidad de contenido","puntuación EEAT","auditoria de qualidade","EEAT scroe"]}
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.
System role: Publish Readiness Gate. It decides whether content is ready to ship, what blocks publication, and what should be promoted into durable project memory.
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
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
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.
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).
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.
## 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/ path using filename YYYY-MM-DD-<topic>.md containing:
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 without asking.
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
Next Best Skill
Primary: content-refresher — turn failed checks into a concrete rewrite plan.
