keyword-clustering
keyword-clustering is a Keyword research skill for AI agents, published by every-app in the open-seo repository on GitHub. Skillspace rates keyword-clustering D (65/100) and it passed the safety scan; a judge model has also reviewed it.
Cluster keywords by intent and map them to existing or proposed pages.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 18,590
Placed #3 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
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #3 of 6 in the judged category final for Keyword research.
- Trigger
68 68 - Instructions
88 88 - Specificity
86 86 - Safety
90 90 - Disclosure
62 62 - Maintenance
80 80
Clear cluster-to-page workflow with real guardrails (skip over-clustering small sets, confirm before tagging) and Search-Console-based cannibalization detection.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- 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.