---
title: "MLflow - Air Market"
description: "When you train models repeatedly, it gets hard to remember what settings produced which result, or which version is the live one. MLflow keeps a record of runs, holds your model versions in one place…"
canonical: "https://airmarket.ai/app/mlflow"
---

[Air Market](/) / [Data & Analytics](/category/data) / MLflow

Skill by [Orchestra Research](/@orchestra-research)

# MLflow

Stop losing track of which training run produced which model

## What this does

When you train models repeatedly, it gets hard to remember what settings produced which result, or which version is the live one. MLflow keeps a record of runs, holds your model versions in one place, and helps you push one to production. Reach for it once you have more runs than you can hold in your head.

### Top 3 things it does for you

- Record what each experiment run did
- Keep versions of your models in one registry
- Ship a model to production

## Information

**MLflow at a glance**

|  |  |
| --- | --- |
| Kind | Skill |
| Publisher | [Orchestra Research](/@orchestra-research) |
| Category | [Data & Analytics](/category/data) |
| Works with | Agent Skills - an open standard supported by 40+ agents |
| Version | 1.0.0 |
| Size | 63 KB |
| Licence | MIT |
| Repository | [orchestra-research/ai-research-skills](https://github.com/orchestra-research/ai-research-skills/tree/28f2d29236f2bade2eb92cadb2585189589a5828/13-mlops/mlflow) |
| GitHub stars | 11,987 (as of Nov 2026) |

## Security report

**Verified.** AIR scanned this exact version of MLflow and flagged nothing. AIR's verdict: **safe**.

**What MLflow's check was run against**

|  |  |
| --- | --- |
| Commit | 28f2d29236f2bade2eb92cadb2585189589a5828 |
| Content hash | fcd7c2608bb3095df02bf2057f5e318b9557a2fad0d3af59c053043a27c2f914 |
| Files read | [Browse the files at this exact commit](https://github.com/orchestra-research/ai-research-skills/blob/28f2d29236f2bade2eb92cadb2585189589a5828/13-mlops/mlflow/SKILL.md) |

A scan is named by the exact content it read, not by a version number. A different version is a different artifact, and nothing here applies to a version AIR has not scanned.

[Read the full security report for MLflow](/security/mlflow)

## About MLflow

MLflow is a platform for the machine learning lifecycle: tracking experiments, managing a model registry with versioning, deploying models to production, and reproducing experiments later.

It is framework-agnostic, so it sits alongside whatever you already train with rather than replacing it.

## What's inside

- SKILL.md - instructions
- references/deployment.md - reference
- references/model-registry.md - reference
- references/tracking.md - reference

## Questions

### Is MLflow safe to install?

AIR scanned this exact version of MLflow and flagged nothing. AIR's verdict: safe. The verdict is named by the content that was read, at commit 28f2d29236f2, so it cannot drift onto a version nobody scanned. The full report is at https://airmarket.ai/security/mlflow.

### How do I install MLflow?

Open https://airmarket.ai/app/mlflow on Air Market and use the install action: Air Market hands Claude a prompt naming this exact skill, and Claude sets it up. Source, pinned to the exact commit this listing describes: https://github.com/orchestra-research/ai-research-skills/tree/28f2d29236f2bade2eb92cadb2585189589a5828/13-mlops/mlflow. Install from that link, not the branch.

## Related on Air Market

- [More Data & Analytics listings](/category/data)
- [Everything by Orchestra Research](/@orchestra-research)

---

Canonical URL: <https://airmarket.ai/app/mlflow>