aqua-evaluation
aqua-evaluation is an LLM evaluation & observability skill for AI agents, published by oracle in the accelerated-data-science repository on GitHub. Skillspace rates aqua-evaluation D (60/100) and it passed the safety scan; the rating is based on static analysis only.
Evaluate LLM model quality using BERTScore, ROUGE, Perplexity, and Text Readability metrics on OCI AI Quick Actions (AQUA). Covers dataset preparation, evaluation job creation, and report interpretation. Triggered when user wants to evaluate or benchmark a model.
- Grade
- D
- Quality
- 60 / 100
- Safety
- Passed
- GitHub stars
- 125
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
- 86 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- UPL-1.0
- 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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