meta-tags-optimizer

meta-tags-optimizer is a Technical SEO & schema skill for AI agents, published by MODSetter in the SurfSense repository on GitHub. Skillspace rates meta-tags-optimizer B (87/100) and it passed the safety scan; a judge model has also reviewed it.

Optimize title tags, meta descriptions, Open Graph, Twitter cards for maximum CTR with A/B variations. 标题优化/元描述/CTR

Grade
B
Quality
87 / 100
Safety
Passed
GitHub stars
15,263

Placed #6 of 6 in the judged category final for Technical SEO & schema.

Not launch-quality. It is graded B with a clean safety verdict, but our quality filters exclude it: it looks like a template or a stub that was never filled in; it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

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

Our review

Architecture
100 / 100
Maturity
Packaged: licensed, with a version or references
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 3 other repositories, in 2 collections
Scope
Portable: works in any project. General SEO meta tag and Open Graph optimisation

Judge review

Placed #6 of 6 in the judged category final for Technical SEO & schema.

  • Trigger7070
  • Instructions6262
  • Specificity6060
  • Safety9292
  • Disclosure3535
  • Maintenance3838
Has genuinely concrete guidance (50-60 char title length, a page-analysis checklist) but it's buried under templated Skill-Contract boilerplate and self-promotional repo links.
Has genuinely concrete guidance (50-60 char title length, a page-analysis checklist) but it's buried under templated Skill-Contract boilerplate and self-promotional repo links.

Not checked yet

  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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