vectorize-search
vectorize-search is a RAG & retrieval skill for AI agents, published by joelhooks in the atproto-agent-network repository on GitHub. Skillspace rates vectorize-search D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Vectorize semantic search patterns for agent memory. Use when implementing embedding generation, semantic search, memory retrieval, or working with the Vectorize API. Triggers on Vectorize, embeddings, semantic search, vector database, similarity search.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 20
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
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- 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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