competitor-analysis
competitor-analysis is an SEO strategy & audits skill for AI agents, published by MODSetter in the SurfSense repository on GitHub. Skillspace rates competitor-analysis B (84/100) and it passed the safety scan; a judge model has also reviewed it.
Analyze competitor SEO/GEO: keywords, content, backlinks, AI citations, traffic share gaps. 竞品分析/竞争对手
- Grade
- B
- Quality
- 84 / 100
- Safety
- Passed
- GitHub stars
- 15,263
Placed #3 of 6 when judged against its near-duplicates in SEO strategy & audits.
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
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
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
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 4 other repositories, in 2 collections
- Scope
- Portable: works in any project. Generic SEO/GEO competitor-analysis methodology
Judge review
Placed #3 of 6 when judged against its near-duplicates in SEO strategy & audits.
- Trigger
72 72 - Instructions
70 70 - Specificity
62 62 - Safety
90 90 - Disclosure
55 55 - Maintenance
65 65
A real competitor-identification framework and clear scope, but the guidance stays at the level of generic research advice.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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