effect-uai-embedding
effect-uai-embedding is a RAG & retrieval skill for AI agents, published by betalyra in the effect-uai repository on GitHub. Skillspace rates effect-uai-embedding F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Use when the user wants to embed text or images with effect-uai — semantic search, RAG retrieval primitive, cross-modal cosine ranking, or late-interaction (multivector) scoring. Covers the EmbeddingModel service, the Embedding tagged union (float32 / int8 / binary / sparse / multivector), provider wiring (OpenAI text-only, Gemini multimodal, Jina sparse / multivector / binary), and Vector math primitives (cosine, sparseCosine, maxSim).
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 24
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.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- High-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- references sensitive credential env
- mentions secrets in text
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.