# Eval Mlflow

> MLflow integration for evaluation — sync datasets, log run results, push/pull feedback between the harness and MLflow traces. Use when the user wants to log eval results to MLflow, sync test cases to MLflow datasets, connect judge scores to traces, pull MLflow annotations for eval-optimize, or view results in the MLflow UI. Triggers on "log to mlflow", "sync dataset", "push results", "mlflow integration", "view in mlflow".

## Facts
- Page: https://tashan.sh/capability/skill-opendatahub-io-eval-mlflow
- tashan id: skill:opendatahub-io/eval-mlflow
- Source: https://github.com/opendatahub-io/agent-eval-harness
- Type: skill
- Category: other
- tashan score: not scored (catalogued only — too little public evidence)
- Adoption: 9.0
- Upkeep: 97.0
- Freshness: 94.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: Apache-2.0
- Official: no

## Install

```sh
cp -r eval-mlflow ~/.claude/skills/
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-09-12 by tashan (https://tashan.sh) from public evidence. Scorer s5.