Individual skill
phoenix-evals
Build, run, and validate evaluators for AI/LLM applications with Phoenix, in Python or TypeScript (including Vercel AI SDK apps) — code-based checks and LLM-as-a-judge, run over exported traces or dataframes or as Phoenix experiments, gate them in CI, and validate judges against human-labeled data.
skills/phoenix-evals/SKILL.md
Source commit f9382db47424df20a427c00acc193f87084598a2
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Instructions only
- Last checked
- Nov 7, 2026
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Repository context
- Repository stars (not skill ratings)
- 12,188
- Repository last updated
- Nov 7, 2026
- License
- NOASSERTION
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- llmops Repository topic
- ai-monitoring Repository topic
- ai-observability Repository topic
- llm-eval Repository topic
- aiengineering Repository topic
- datasets Repository topic
- agents Repository topic
- llms Repository topic
- prompt-engineering Repository topic
- anthropic Repository topic
- data Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 5,914 bytesreferences/axial-coding.mddoc · 2,373 bytesreferences/common-mistakes-python.mddoc · 8,111 bytesreferences/error-analysis-multi-turn.mddoc · 1,371 bytesreferences/error-analysis.mddoc · 4,316 bytesreferences/evaluate-dataframe-python.mddoc · 4,818 bytesreferences/evaluators-code-python.mddoc · 3,056 bytesreferences/evaluators-code-typescript.mddoc · 2,985 bytesreferences/evaluators-custom-templates.mddoc · 1,179 bytesreferences/evaluators-llm-python.mddoc · 4,315 bytesreferences/evaluators-llm-typescript.mddoc · 2,938 bytesreferences/evaluators-overview.mddoc · 1,132 bytesreferences/evaluators-pre-built.mddoc · 7,894 bytesreferences/evaluators-rag.mddoc · 3,667 bytesreferences/experiments-datasets-python.mddoc · 4,915 bytesreferences/experiments-datasets-typescript.mddoc · 5,188 bytesreferences/experiments-overview.mddoc · 1,748 bytesreferences/experiments-running-python.mddoc · 5,731 bytesreferences/experiments-running-typescript.mddoc · 5,886 bytesreferences/experiments-synthetic-python.mddoc · 1,816 bytesreferences/experiments-synthetic-typescript.mddoc · 2,266 bytesreferences/filter-expressions.mddoc · 15,264 bytesreferences/fundamentals-anti-patterns.mddoc · 1,647 bytesreferences/fundamentals-model-selection.mddoc · 1,458 bytesreferences/fundamentals.mddoc · 1,835 bytesreferences/integrations-pytest.mddoc · 8,109 bytesreferences/integrations-vitest-jest.mddoc · 9,375 bytesreferences/observe-sampling-python.mddoc · 3,320 bytesreferences/observe-sampling-typescript.mddoc · 4,893 bytesreferences/observe-tracing-setup.mddoc · 4,356 bytesreferences/production-continuous.mddoc · 4,104 bytesreferences/production-guardrails.mddoc · 1,363 bytesreferences/production-overview.mddoc · 2,352 bytesreferences/setup-python.mddoc · 1,964 bytesreferences/setup-typescript.mddoc · 1,520 bytesreferences/validation-evaluators-python.mddoc · 1,170 bytesreferences/validation-evaluators-typescript.mddoc · 4,566 bytesreferences/validation.mddoc · 3,749 bytes
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