vector-bench
vector-bench is a RAG & retrieval skill for AI agents, published by opendata-oss in the opendata repository on GitHub. Skillspace rates vector-bench C (77/100) and it passed the safety scan; the rating is based on static analysis only.
Benchmark a vector dataset against OpenData Vector. Handles three modes — built-in dataset (sift, cohere, deep, …), bench-format custom (fvecs/bvecs/parquet you already have), or raw embeddings (npy / single parquet) that need to be converted first. Generates the config, generates ground truth if missing, runs the bench, and writes a summary.
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 467
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- 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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