datarobot-feature-engineering skillA
datarobot-feature-engineering is agent-read markdown (skill) from datarobot-oss/datarobot-agent-skills: Guidance for feature engineering, feature discovery, feature importance analysis, and understanding DataRobot's automated feature engineering capabilities. Use when working with feature engineering, feature discovery, or analyzing feature importance in DataRobot..
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 Feature Engineering Skill This skill provides guidance for working with features in DataRobot, including understanding automated feature engineering, analyzing feature importance, and optimizing feature sets. ## Quick Start **Most common use case**: Analyze feature importance for a model 1. **Get feature importance**: `get_feature_importance(model_id)` to get importance scores 2. **Analyze top features**: Sort by importance and identify key drivers 3. **Export feature list**: `export_feature_list(project_id)` to document features **Example**: "Show me the top 10 most important features for model xyz123" ## When to use this skill Use this skill when you need to: - Understand what features DataRobot creates automatically - Analyze feature importance for models - Discover which features drive predictions - Optimize feature sets for better performance - Understand feature types and transformations - Export feature lists and definitions ## Key capabilities ### 1. Feature Discovery - Understand automated feature engineering in DataRobot - Review derived features and transformations - Identify feature types (numeric, categorical, text, date) …
Read the whole file at its exact version.
How to install
mdr add datarobot-oss/datarobot-agent-skills/datarobot-feature-engineering@git:20260825.cfbd8e9mdr add datarobot-oss/datarobot-agent-skills/datarobot-feature-engineering@sha256:1d85aa453188de0aPin 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.
[](https://markdownregistry.com/a/art_qfxnttz4ynq22mcp)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260825.cfbd8e9 latest | 2026-08-25 | cfbd8e9 | 6,999 B | A | view · diff |
| git:20260819.0d95a80 | 2026-08-19 | 0d95a80 | 7,214 B | A | view · diff |
| git:20260728.b41ca00 | 2026-07-28 | b41ca00 | 7,243 B | A | view · diff |
| git:20260519.03d3b20 | 2026-05-19 | 03d3b20 | 7,264 B | A | view · diff |
| git:20260331.fc1a8bc | 2026-03-31 | fc1a8bc | 7,156 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (6999 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
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_qfxnttz4ynq22mcp GET https://markdownregistry.com/api/v1/resolve?ref=datarobot-oss/datarobot-agent-skills/datarobot-feature-engineering GET https://markdownregistry.com/api/v1/blob/1d85aa453188de0a92386086aa0bf5e9665b7bb3bc5ac2231a63b7eb28425a5c
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