hybrid-search-implementation
hybrid-search-implementation is a RAG & retrieval skill for AI agents, published by JeffGreen311 in the eve-agent-v2-unleashed repository on GitHub. Skillspace rates hybrid-search-implementation D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 39
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 89 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 15 other repositories, in 12 collections
- Scope
- Portable: works in any project. General hybrid vector plus keyword search patterns
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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