Home / datarobot-oss / datarobot-agent-skills · skills/datarobot-model-deployment/SKILL.md · GitHub

datarobot-model-deployment skillA

datarobot-model-deployment is agent-read markdown (skill) from datarobot-oss/datarobot-agent-skills: Tools and guidance for deploying DataRobot models, managing deployments, configuring prediction environments, and deployment operations. Use when deploying models, creating or updating deployments, or configuring prediction environments..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# DataRobot Model Deployment Skill

This skill provides comprehensive guidance for deploying models, managing deployment configurations, and operating production deployments.

## Quick Start

**Most common use case**: Deploy a trained model to production

1. **Get best model**: Find the best model from a project (highest metric score)
2. **Create deployment**: `create_deployment(model_id, deployment_name)` to deploy model
3. **Get endpoint**: `get_deployment_endpoint(deployment_id)` to retrieve prediction URL

**Example**: "Deploy the best model from project abc123 as 'Sales Prediction v1'"

## When to use this skill

Use this skill when you need to:
- Deploy trained models to production
- Configure deployment settings and environments
- Manage multiple deployments
- Replace a deployment’s champion model with a new model version
- Configure prediction servers and environments
- Monitor deployment health and status
- Manage deployment access and permissions

## Key capabilities

### 1. Deployment Creation

- Deploy models from projects or registered models
- Choose prediction environment (DataRobot Serverless, external)
…

Read the whole file at its exact version.

How to install

Latest version
mdr add datarobot-oss/datarobot-agent-skills/datarobot-model-deployment@git:20260825.cfbd8e9
Exact content
mdr add datarobot-oss/datarobot-agent-skills/datarobot-model-deployment@sha256:852dc4b5ba4f7db7

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

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Versions

versioncommittedcommitsizeaudit
git:20260825.cfbd8e9 latest2026-08-25 cfbd8e9 7,261 BA view · diff
git:20260819.0d95a802026-08-19 0d95a80 7,476 BA view · diff
git:20260728.b41ca002026-07-28 b41ca00 7,505 BA view · diff
git:20260519.03d3b202026-05-19 03d3b20 7,511 BA view · diff
git:20260331.fc1a8bc2026-03-31 fc1a8bc 7,410 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (7261 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

datarobot-oss/datarobot-agent-skills · 27 stars · license Apache-2.0 · pushed 2026-09-23 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_zkxpa4zwgvvbn6hh
GET https://markdownregistry.com/api/v1/resolve?ref=datarobot-oss/datarobot-agent-skills/datarobot-model-deployment
GET https://markdownregistry.com/api/v1/blob/852dc4b5ba4f7db72a4d9cd2fed82096057d8b7d13a2d97f92f6919fcbe01aed

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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