Mlflow Evaluation | Agent Skills Atlas

About this skill

MLflow 3 GenAI evaluation for agent development. Use when (1) writing mlflow.genai.evaluate() code, (2) creating @scorer functions, (3) building evaluation datasets from traces, (4) using built-in scorers (Guidelines, Correctness, Safety, RetrievalGroundedness), (5) analyzing traces for latency/errors/architecture, (6) optimizing agent context/prompts/token usage, (7) debugging evaluation failures. Covers the full eval workflow: trace analysis -> dataset building -> scorer creation -> evaluation execution.

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0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: a678a3e56e74306a2b78f93be262fb37d6392487a716fd10362db0a28f63551f

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Original listing metadata

Original name

mlflow-evaluation

Original description

About this listing

Category: Developer tools
Reported license: MIT
Listing language (estimated): English
Review status: Not individually reviewed
Agent compatibility: Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.