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About phoenix-evals
phoenix-evals
Build and run evaluators for AI/LLM applications using Phoenix
phoenix-evals is an agent skill from the arize-ai Phoenix project for building and running evaluators for AI and LLM applications. Its guiding approach is to write code first for checks that code can decide, use an LLM for judgements that need nuance, and validate the evaluators against human labels before relying on them. The skill's quick reference lists the evaluator patterns and their setup, and it points to the Phoenix evaluation tooling that runs them over datasets and experiments. It is useful for teams that want to measure the quality of an LLM feature with repeatable tests rather than by reading outputs by hand, and for anyone who needs an LLM judge that has been checked against people. The guidance keeps the evaluator simple where possible, since a deterministic check is cheaper and more reliable than a model judge for many properties. It is listed on skills.sh, where the page shows install counts and GitHub stars for the Phoenix project. Its security audits all pass, including Gen Agent Trust Hub, Socket and Snyk. Install it with npx skills add https://github.com/arize-ai/phoenix --skill phoenix-evals.
- Price
- Free
- Made by
- arize-ai
- Category
- AI Skills
- Website
- github.com/arize-ai/phoenix/phoenix-evals