phoenix-evals
phoenix-evals is an LLM evaluation & observability skill for AI agents, published by Arize-ai in the phoenix repository on GitHub. Skillspace rates phoenix-evals C (77/100) and it passed the safety scan; the rating is based on static analysis only.
Build and run evaluators for AI/LLM applications using Phoenix.
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 10,577
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
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Documents Arize Phoenix's public evals product
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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