SEO Aeo Internal Linking
henryalouf/ruflow
Maps internal link opportunities between pages with anchor text, placement instructions, orphan page detection, and cannibalization checks.
This skill should be used when the user asks to "audit content quality", "EEAT score", "E-E-A-T audit", "content quality check", "CORE-EEAT audit", "helpful content assessment", "experience…
Install Content Quality Auditor
$ npx skills add majiayu000/claude-skill-registry --skill content-quality-auditor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install majiayu000/claude-skill-registry content-quality-auditor --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/analysis/content-quality-auditor-quyenvjp-pmtl-vn .claude/skills/content-quality-auditor && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "content-quality-auditor" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/analysis/content-quality-auditor-quyenvjp-pmtl-vn into .claude/skills/content-quality-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-quality-auditor", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/majiayu000/claude-skill-registry/tree/main/skills/analysis/content-quality-auditor-quyenvjp-pmtl-vnType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add majiayu000/claude-skill-registry --skill content-quality-auditor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install majiayu000/claude-skill-registry content-quality-auditor --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/analysis/content-quality-auditor-quyenvjp-pmtl-vn .agents/skills/content-quality-auditor && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "content-quality-auditor" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/analysis/content-quality-auditor-quyenvjp-pmtl-vn into .agents/skills/content-quality-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-quality-auditor", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add majiayu000/claude-skill-registry --skill content-quality-auditor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install majiayu000/claude-skill-registry content-quality-auditor --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/analysis/content-quality-auditor-quyenvjp-pmtl-vn .cursor/skills/content-quality-auditor && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "content-quality-auditor" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/analysis/content-quality-auditor-quyenvjp-pmtl-vn into .cursor/skills/content-quality-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-quality-auditor", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/majiayu000/claude-skill-registry.git --path skills/analysis/content-quality-auditor-quyenvjp-pmtl-vn--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add majiayu000/claude-skill-registry --skill content-quality-auditor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install majiayu000/claude-skill-registry content-quality-auditor --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/analysis/content-quality-auditor-quyenvjp-pmtl-vn .gemini/skills/content-quality-auditor && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "content-quality-auditor" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/analysis/content-quality-auditor-quyenvjp-pmtl-vn into .gemini/skills/content-quality-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-quality-auditor", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install majiayu000/claude-skill-registry content-quality-auditorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add majiayu000/claude-skill-registry --skill content-quality-auditor -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/analysis/content-quality-auditor-quyenvjp-pmtl-vn .github/skills/content-quality-auditor && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "content-quality-auditor" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/analysis/content-quality-auditor-quyenvjp-pmtl-vn into .github/skills/content-quality-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-quality-auditor", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add majiayu000/claude-skill-registry --skill content-quality-auditor -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install majiayu000/claude-skill-registry content-quality-auditor --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/analysis/content-quality-auditor-quyenvjp-pmtl-vn .opencode/skills/content-quality-auditor && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "content-quality-auditor" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/analysis/content-quality-auditor-quyenvjp-pmtl-vn into .opencode/skills/content-quality-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-quality-auditor", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
content-quality-auditor- GitHub stars
- 666
- Used in
- 1 other repo
- Token cost
- ~3.7k tokens
- SKILL.md length
- 825 words
- Files
- 2
- Skills in repo
- 1,273
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
This skill should be used when the user asks to "audit content quality", "EEAT score", "E-E-A-T audit", "content quality check", "CORE-EEAT audit", "helpful content assessment", "experience…
- Works in 4 steps: Preparation → CORE Audit (40 items) → EEAT Audit (40 items) → …
- Asks to audit content quality
- SKILL.md covers When to Use This Skill, What This Skill Does, How to Use and Data Sources, plus 6 more sections
- Calls npx
What it does
Content Quality Auditor is an agent skill from majiayu000/claude-skill-registry. This skill should be used when the user asks to "audit content quality", "EEAT score", "E-E-A-T audit", "content quality check", "CORE-EEAT audit", "helpful content assessment", "experience expertise authoritativeness trust", "how good is my content", "is my content AI-citation worthy", "content improvement plan", "helpful content update impact", or "GEO quality score". Runs the full 80-item CORE-EEAT audit across 8 dimensions: Contextual Clarity, Organization, Referenceability, Exclusivity (CORE, GEO-focused)…
Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`). Compatibility notes: Claude Code ≥1.0, skills.sh marketplace, ClawHub marketplace, Vercel Labs skills ecosystem. No system packages required. Optional: MCP network access for SEO…
It sits in Marketing & SEO, covering On-page SEO, Link building and AI search optimization. The repository describes itself as: Searchable Claude Code skills catalog with source-linked guides and generated registry artifacts. The licence is Apache-2.0.
When your agent uses it
- Asks to audit content quality
- Content quality check
- CORE-EEAT audit
- Helpful content assessment
Example prompts
- “audit content quality”
- “EEAT score”
- “E-E-A-T audit”
- “/content-quality-auditor”
Requirements
- Node.js
- Compatibility (from SKILL.md): 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.
- Pre-approved tools (allowed-tools): WebFetch
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 2d14a69. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
WebFetch
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
npx
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
github.comskills.sh
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
From compatibility in the SKILL.md frontmatter.
Context cost
Content Quality Auditor loads about 3.7k tokens when it runs. Until then it costs about 216 tokens; SKILL.md has 825 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from majiayu000/claude-skill-registry at commit 2d14a69, republished under its Apache-2.0 licence (© majiayu000). 825 words, ~3,685 tokens.
Download SKILL.mdSave it as
.claude/skills/content-quality-auditor/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- content-quality-auditor
- description
- This skill should be used when the user asks to "audit content quality", "EEAT score", "E-E-A-T audit", "content quality check", "CORE-EEAT audit", "helpful content assessment", "experience expertise authoritativeness trust", "how good is my content", "is my content AI-citation worthy", "content improvement plan", "helpful content update impact", or "GEO quality score". Runs the full 80-item CORE-EEAT audit across 8 dimensions: Contextual Clarity, Organization, Referenceability, Exclusivity (CORE, GEO-focused) plus Experience, Expertise, Authoritativeness, Trust (EEAT, SEO-focused). Produces a GEO Score, SEO Score, content-type weighted total, per-item pass/partial/fail, and prioritized fix plan with veto item checks. For SEO page element audits, see on-page-seo-auditor. For domain-level authority, see domain-authority-auditor.
- 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.
- version
- 3.0.0
- license
- Apache-2.0
- metadata.author
- aaron-he-zhu
- metadata.version
- 3.0.0
- metadata.geo-relevance
- high
- metadata.tags
- seo, geo, e-e-a-t, helpful-content, content-quality, content-scoring, ai-quality, core-eeat, experience-expertise-authoritativeness-trust…
- metadata.triggers
- audit content quality, EEAT score, content quality check, CORE-EEAT audit, how good is my content, content assessment, quality score, is my content good…
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
<details>
<summary>Browse all 20 skills</summary>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
</details>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
How to Use
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]/100Repeat 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]/100Repeat 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 issuesValidation Checkpoints
Show full SKILL.md (338 more words)Show less
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)
© majiayu000, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in skills/analysis/content-quality-auditor-quyenvjp-pmtl-vn of majiayu000/claude-skill-registry.
- SKILL.md
- metadata.json
Open the folder on GitHubat commit 2d14a69
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in majiayu000/claude-skill-registry, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Content Quality Auditor next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
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|---|---|---|---|---|---|---|
| Content Quality Auditor this skillmajiayu000/claude-skill-registry | 666 | 1 repos | ~3.7k | Automated safety check: Pass | Apache-2.0 | |
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| SEO Aeo Internal Linkingsickn33/agentic-awesome-skills | 47k | 1 repos | ~2.3k | Automated safety check: Pass | MIT | |
| SEO DataforseoAgriciDaniel/codex-seo | 791 | 2 repos | ~4.6k | Automated safety check: Pass | MIT | |
| AI Citability Scorerzubair-trabzada/geo-seo-claude | 11k | 2 repos | ~3.7k | Automated safety check: Notes | MIT | |
| Beyondseobeyondtahir/beyondseo | 157 | — | ~4.3k | Automated safety check: Pass | MIT |
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Questions about Content Quality Auditor
What does Content Quality Auditor do?
This skill should be used when the user asks to "audit content quality", "EEAT score", "E-E-A-T audit", "content quality check", "CORE-EEAT audit", "helpful content assessment", "experience…. Content Quality Auditor is an agent skill from majiayu000/claude-skill-registry. This skill should be used when the user asks to "audit content quality", "EEAT score", "E-E-A-T audit", "content quality check", "CORE-EEAT audit", "helpful content assessment", "experience expertise authoritativeness trust", "how good is my content", "is my content AI-citation worthy", "content improvement plan", "helpful content update impact", or "GEO quality score".
When should I use Content Quality Auditor?
Content Quality Auditor fits situations like: asks to audit content quality; content quality check; CORE-EEAT audit; helpful content assessment.
How do I install Content Quality Auditor in Claude Code?
Run `npx skills add majiayu000/claude-skill-registry --skill content-quality-auditor -a claude-code`. Or copy the skill folder (skills/analysis/content-quality-auditor-quyenvjp-pmtl-vn in majiayu000/claude-skill-registry) into .claude/skills/content-quality-auditor in your project. Claude Code loads it when a task matches its description.
How do I install Content Quality Auditor in Codex?
Run `npx skills add majiayu000/claude-skill-registry --skill content-quality-auditor -a codex`. Or copy the skill folder (skills/analysis/content-quality-auditor-quyenvjp-pmtl-vn in majiayu000/claude-skill-registry) into .agents/skills/content-quality-auditor in your project. Codex loads it when a task matches its description.
Can I use Content Quality Auditor in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add majiayu000/claude-skill-registry --skill content-quality-auditor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/content-quality-auditor, .gemini/skills/content-quality-auditor, .github/skills/content-quality-auditor and .opencode/skills/content-quality-auditor in your project.
What does Content Quality Auditor need to run?
Going by SKILL.md and its folder, Content Quality Auditor needs the command-line tools its instructions call (npx). Our summary lists: Node.js. Its frontmatter pre-approves these tools: WebFetch. Compatibility (from SKILL.md): 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..
Does Content Quality Auditor access the network?
SKILL.md names 2 domains. As links in the text: github.com and skills.sh. This is read from the text; nothing was executed.
Is Content Quality Auditor safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Content Quality Auditor use?
Content Quality Auditor is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Content Quality Auditor use?
About 3.7k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Content Quality Auditor?
Skills that share tags, products or a category with Content Quality Auditor: SEO Aeo Internal Linking (henryalouf/ruflow, 156 stars), SEO Aeo Internal Linking (sickn33/agentic-awesome-skills, 47k stars), SEO Dataforseo (AgriciDaniel/codex-seo, 791 stars) and AI Citability Scorer (zubair-trabzada/geo-seo-claude, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Content Quality Auditor?
majiayu000 (a GitHub user) maintains it in majiayu000/claude-skill-registry, which has 666 GitHub stars. The repository holds 1,273 skills in this directory. The repository was last updated on October 7, 2026.
Source: majiayu000/claude-skill-registry on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.