Fetches content-quality-auditor from aaron-he-zhu/seo-geo-claude-skills and configures it for Cursor.
3
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
◆ Which agents do you want to install to?
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│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
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4
Verify installation
Confirm successful installation by checking the skill directory location:
.cursor/skills/content-quality-auditor
Restart Cursor to activate content-quality-auditor. Access via /content-quality-auditor in your agent's command palette.
⚠
Security Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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.
›Claude Desktop or compatible AI client with skill support
›Clear understanding of task or problem to solve
›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Steps
1Install skill using provided installation command
2Test with simple use case relevant to your work
3Evaluate output quality and relevance
4Iterate on prompts to improve results
5Integrate into regular workflow if valuable
Common Pitfalls
⚠Expecting perfect results without iteration
⚠Not providing enough context in prompts
⚠Using skill for tasks outside its intended scope
⚠Accepting outputs without review and validation
Best Practices
✓ Do
+Start with clear, specific prompts
+Provide relevant context and constraints
+Review and refine all outputs before using
+Iterate to improve output quality
+Document successful prompt patterns
✗ Don't
−Don't use without understanding skill limitations
−Don't skip validation of outputs
−Don't share sensitive information in prompts
−Don't expect skill to replace human judgment
💡 Pro Tips
★Be specific about desired format and style
★Ask for multiple options to choose from
★Request explanations to understand reasoning
★Combine AI efficiency with human expertise
When to Use This
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path
1Familiarize yourself with skill capabilities and limitations
2Start with low-risk, non-critical tasks
3Progress to more complex and valuable use cases
4Build expertise through regular use and experimentation
