datarobot-model-explainability skillA
datarobot-model-explainability is agent-read markdown (skill) from datarobot-oss/datarobot-agent-skills: Tools and guidance for model explainability, prediction explanations, feature impact analysis, SHAP values, SHAP distributions, anomaly assessment, and model diagnostics. Use when analyzing model explanations, feature impact, SHAP values, SHAP distributions, anomaly assessment, or diagnosing model behavior..
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 Explainability Skill This skill covers SHAP insights, XEMP prediction explanations, anomaly explanations, and model diagnostics. > **SDK version**: Use `datarobot>=3.6.0` for the full API set in this skill (`ShapDistributions` > was added in 3.6; `ShapMatrix`, `ShapImpact`, and `ShapPreview` are available in > `datarobot>=3.4.0`). Use `from datarobot.insights import ShapMatrix, ...` with > `entity_id=model_id` — not legacy `datarobot.models.ShapMatrix` (`project_id` / `dataset_id`). > `ShapMatrix`, `ShapImpact`, `ShapPreview`, and `ShapDistributions` are the canonical SHAP API. > The older `dr.PredictionExplanations` (XEMP-based) remains available but is the secondary path. --- ## Quick Start | Goal | API to use | Prerequisites | |------|-----------|---------------| | SHAP values for all features, all rows | `ShapMatrix.create(entity_id=model_id)` | None - universal SHAP | | Per-row top-feature explanations | `ShapPreview.create(entity_id=model_id)` | None | | Aggregated feature importance via SHAP | `ShapImpact.create(entity_id=model_id)` | None | | SHAP value distributions across features | `ShapDistributions.create(entity_id=model_id)` | None | …
Read the whole file at its exact version.
How to install
mdr add datarobot-oss/datarobot-agent-skills/datarobot-model-explainability@git:20260825.cfbd8e9mdr add datarobot-oss/datarobot-agent-skills/datarobot-model-explainability@sha256:e7e2eabfba2e1aa5Pin 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_pumbq3axtw6vriaz)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260825.cfbd8e9 latest | 2026-08-25 | cfbd8e9 | 10,766 B | A | view · diff |
| git:20260728.b41ca00 | 2026-07-28 | b41ca00 | 10,909 B | A | view · diff |
| git:20260527.bfe65f7 | 2026-05-27 | bfe65f7 | 10,936 B | A | view · diff |
| git:20260527.def5508 | 2026-05-27 | def5508 | 15,492 B | A | view · diff |
| git:20260527.3d419b5 | 2026-05-27 | 3d419b5 | 14,344 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 (10766 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
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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_pumbq3axtw6vriaz GET https://markdownregistry.com/api/v1/resolve?ref=datarobot-oss/datarobot-agent-skills/datarobot-model-explainability GET https://markdownregistry.com/api/v1/blob/e7e2eabfba2e1aa5e3c3b19a8a105790d99d861a2e08ee464725d39c5c80c37b
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