keyword-research
keyword-research is a Keyword research skill for AI agents, published by unifapi-agent in the agents repository on GitHub. Skillspace rates keyword-research C (79/100) and it passed the safety scan; a judge model has also reviewed it.
When the user wants to research keywords, find keyword opportunities, run a keyword gap analysis, build topic clusters, or compare what competitors rank for. Also use on "keyword research," "keyword gaps," "what should I target," "competitor keywords," "search volume," "keyword difficulty," "keyword opportunities," "long-tail keywords," "topic clusters," "what keywords am I missing," or "find keywords for my niche." For diagnosing an existing site, see the seo-audit skill. For structured data, see the schema skill.
- Grade
- C
- Quality
- 79 / 100
- Safety
- Passed
- GitHub stars
- 567
Placed #1 of 4 when judged against its near-duplicates in 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
- 97 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #1 of 4 when judged against its near-duplicates in Keyword research.
- Trigger
90 90 - Instructions
90 90 - Specificity
92 92 - Safety
95 95 - Disclosure
62 62 - Maintenance
78 78
Grounds every step in named live UnifAPI calls, states an explicit read-only safety scope, and reasons about when the expensive SERP call is worth spending on.
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
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