on-page-seo-checker

on-page-seo-checker is an SEO strategy & audits skill for AI agents, published by aaron-he-zhu in the aaron-marketing-skills repository on GitHub. Skillspace rates on-page-seo-checker C (72/100) and the safety scan flagged it for review; the rating is based on static analysis only.

Use when the user asks to "audit on-page SEO" or "diagnose why a single page dropped"; scores titles, meta, header structure, keyword placement, links, and images with prioritized fixes. Not for E-E-A-T / publish-readiness scoring — use content-quality-auditor; not for crawl / CWV / indexing — use technical-seo-checker. 页面SEO审计/排名诊断

Grade
C
Quality
72 / 100
Safety
Needs review
GitHub stars
2,393

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
94 / 100
Maturity
Packaged: licensed, with a version or references
Security scan
Medium-risk patterns
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 2 collections
Scope
Portable: works in any project. General on-page SEO audit method for any page

What the scanner flagged

  • suspicious outbound endpoint

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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