compare-embedding-models
compare-embedding-models is a RAG & retrieval skill for AI agents, published by jeanibarz in the knowledge-base-mcp-server repository on GitHub. Skillspace rates compare-embedding-models 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.
Run an apples-to-apples benchmark of two embedding models on a fixture or your KB and produce an HTML report covering cold-start indexing, warm-query latency, batch throughput, storage, and quality.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 50
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.
Our review
- Architecture
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- High-risk patterns
- License
- Unlicense
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- references sensitive credential env
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.