arize-evaluator
This skill covers designing, creating, and running LLM-as-judge evaluators on Arize. An evaluator defines the judge; a task is how you run it against real data.
SkillJury keeps community verdicts, source metadata, and external repository signals in separate lanes so ranking data never pretends to be a review.
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Weekly or total install activity from catalog data
npx skills add https://github.com/github/awesome-copilot --skill arize-evaluator
As of Apr 30, 2026, arize-evaluator has 756 weekly installs, 0 community reviews on SkillJury. Community votes currently stand at 0 upvotes and 0 downvotes. Source: github/awesome-copilot. Canonical URL: https://skills.sh/github/awesome-copilot/arize-evaluator.
Source description provided by the upstream listing. Community review signal and install context stay separate from this narrative layer.
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What does arize-evaluator do?
This skill covers designing, creating, and running LLM-as-judge evaluators on Arize. An evaluator defines the judge; a task is how you run it against real data.
Is arize-evaluator good?
arize-evaluator does not have approved reviews yet, so SkillJury cannot publish a community verdict.
Which AI agents support arize-evaluator?
arize-evaluator currently lists compatibility with Claude Code, Codex, Gemini CLI, Skills CLI.
Is arize-evaluator safe to install?
arize-evaluator has been scanned by security audit providers tracked on SkillJury. Check the security audits section on this page for detailed results from Socket.dev and Snyk.
What are alternatives to arize-evaluator?
Skills in the same category include grimoire-morpho-blue, conversation-memory, second-brain-ingest, zai-tts.
How do I install arize-evaluator?
Run the following command to install arize-evaluator: npx skills add https://github.com/github/awesome-copilot --skill arize-evaluator
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