keyword-search
keyword-search is a Keyword research skill for AI agents, published by elastic in the kibana repository on GitHub. Skillspace rates keyword-search D (62/100) and it passed the safety scan; a judge model has also reviewed it.
Guide for building keyword/full-text search with Elasticsearch. Use when a developer wants text matching, filters, faceted search, autocomplete, or traditional search functionality.
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 21,286
Placed #2 of 6 in the judged category final for Keyword research.
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
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #2 of 6 in the judged category final for Keyword research.
- Trigger
85 85 - Instructions
88 88 - Specificity
90 90 - Safety
88 88 - Disclosure
58 58 - Maintenance
75 75
Concrete, directly executable Elasticsearch mappings and query code with an explicit boundary against semantic-search use cases, though everything lives in one long inline guide.
What the scanner flagged
- mentions secrets in text
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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