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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
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npx skills add https://github.com/rome-os/rome-apps --skill content-quality-auditorコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
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Use for creative/product/design work before implementation. Guides the guardian from rough idea to approved design spec.
Senior engineer code review workflow — whole-picture understanding, mandatory beyond-the-diff verification, architecture-level review (SSOT, Occam's razor), SOLID, security, performance, and code quality, with P0-P3 severity classification.
Fetch GitHub pull request diffs with gh CLI, including large-PR fallback strategies.
SKILL.md を表示中
| name | content-quality-auditor |
| description | 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 |
| 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. |
| homepage | https://github.com/aaron-he-zhu/seo-geo-claude-skills |
| 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"]} |
Based on CORE-EEAT Content Benchmark. Full benchmark reference: references/core-eeat-benchmark.md
SEO & GEO Skills Library · 20 skills for SEO + GEO · ClawHub · skills.sh System Mode: This cross-cutting skill is part of the protocol layer and follows the shared Skill Contract and State Model.
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.
Use this when content needs a quality check before publishing — even if the user doesn't use audit terminology:
Start with one of these prompts. Finish with a publish verdict and a handoff summary using the repository format in Skill Contract.
Audit this content against CORE-EEAT: [content text or URL]
Run a content quality audit on [URL] as a [content type]
CORE-EEAT audit for this product review: [content]
Score this how-to guide against the 80-item benchmark: [content]
Audit my content vs competitor: [your content] vs [competitor content]
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/.
memory/audits/content/.memory/hot-cache.md (auto-saved, no user confirmation needed). Top improvement priorities to memory/open-loops.md.Next Best Skill below once the verdict is clear.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:
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).
When stopping to ask, always: (1) state the specific value and threshold, (2) offer numbered options with outcomes.
Stop and ask the user when:
Continue silently (never stop for):
When a user requests a content quality audit:
### 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.
Evaluate each item against the criteria in references/core-eeat-benchmark.md.
Score each item:
### 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.
### 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.
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
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:
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.
See references/item-reference.md for a complete scored example showing the C dimension with all 10 items, priority improvements, and weighted scoring.
These veto items are consistent with the CORE-EEAT benchmark (Section 3), which defines them as items that can override the overall score.