keyword-research
keyword-research is a Keyword research skill for AI agents, published by MODSetter in the SurfSense repository on GitHub. Skillspace rates keyword-research B (84/100) and it passed the safety scan; a judge model has also reviewed it.
Find high-value SEO keywords: search volume, difficulty, intent classification, topic clusters. 关键词研究/内容选题
- Grade
- B
- Quality
- 84 / 100
- Safety
- Passed
- GitHub stars
- 15,263
Placed #6 of 6 in the judged category final for Keyword research.
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 1 collections
- Scope
- Portable: works in any project. Generic SEO keyword research methodology, reusable anywhere
Judge review
Placed #6 of 6 in the judged category final for Keyword research.
- Trigger
60 60 - Instructions
55 55 - Specificity
50 50 - Safety
75 75 - Disclosure
38 38 - Maintenance
48 48
Same weaknesses as its #0 variant: marketing links to the author's GitHub and marketplace, a broken tool placeholder, and an operating contract outsourced to external URLs instead of local references.
Padded with marketing links to the author's GitHub and marketplace listings plus a broken tool placeholder, and it outsources its own operating contract to external URLs instead of bundling the detail locally.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.