keyword-research
keyword-research is a Keyword research skill for AI agents, published by Eronred in the aso-skills repository on GitHub. Skillspace rates keyword-research D (68/100) and it passed the safety scan; a judge model has also reviewed it.
When the user wants to discover, evaluate, or prioritize App Store keywords. Also use when the user mentions "keyword research", "find keywords", "search volume", "keyword difficulty", "keyword ideas", or "what keywords should I target". For implementing keywords into metadata, see metadata-optimization. For auditing current keyword performance, see aso-audit.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 1,858
Placed #3 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
- 100 / 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 4 when judged against its near-duplicates in Keyword research.
- Trigger
92 92 - Instructions
84 84 - Specificity
87 87 - Safety
88 88 - Disclosure
60 60 - Maintenance
72 72
Clean ASO-specific process with a real opportunity-score formula and accurate Apple metadata-field mechanics, but never names a concrete data source for the metrics it asks you to evaluate.
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
Also published in 1 other repo
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