shap SKILL.md skillA
shap from marielynneblock/arcanum-artifex is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add marielynneblock/arcanum-artifex/shap@git:20260710.0115f49Pins git:20260710.0115f49 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- marielynneblock/arcanum-artifex
- Path
skills/data-science/shap/SKILL.md- Versions recorded
- 4
- Latest version
- git:20260710.0115f49, committed Jul 10, 2026
- First version recorded
- Apr 6, 2026
- Size
- 18,415 bytes
- Repository stars
- 4
- License
- none declared
Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analysing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# SHAP (SHapley Additive exPlanations) ## Overview SHAP is a unified approach to explain machine learning model outputs using Shapley values from cooperative game theory. This skill provides comprehensive guidance for: - Computing SHAP values for any model type - Creating visualisations to understand feature importance - Debugging and validating model behaviour - Analysing fairness and bias - Implementing explainable AI in production SHAP works with all model types: tree-based models (XGBoost, LightGBM, CatBoost, Random Forest), deep learning models (TensorFlow, PyTorch, Keras), linear models, and black-box models. ## When to Use This Skill **Trigger this skill when users ask about**: - "Explain which features are most important in my model" - "Generate SHAP plots" (waterfall, beeswarm, bar, scatter, force, heatmap, etc.) - "Why did my model make this prediction?" - "Calculate SHAP values for my model" - "Visualise feature importance using SHAP" - "Debug my model's behaviour" or "validate my model" - "Check my model for bias" or "analyse fairness" - "Compare feature importance across models" - "Implement explainable AI" or "add explanations to my model" …
Read the whole file at its exact version.
How to install
mdr add marielynneblock/arcanum-artifex/shap@sha256:b006388e620dfc6fThe line at the top of this page pins the label git:20260710.0115f49, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_lxpe7xr33s4hn4xj)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Apr 6, 2026 and Jul 10, 2026, about one every 32 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260710.0115f49 latest | 2026-07-10 | 0115f49 | 18,415 B | A | view · diff |
| git:20260710.ffb3400 | 2026-07-10 | ffb3400 | 18,412 B | A | view · diff |
| git:20260515.b861afb | 2026-05-15 | b861afb | 18,412 B | A | view · diff |
| git:20260406.05dff34 | 2026-04-06 | 05dff34 | 18,413 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 (18415 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
marielynneblock/arcanum-artifex · 4 stars · license none declared · pushed 2026-09-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_lxpe7xr33s4hn4xj GET https://markdownregistry.com/api/v1/resolve?ref=marielynneblock/arcanum-artifex/shap GET https://markdownregistry.com/api/v1/blob/b006388e620dfc6fe742689cf09a077afd525e1f70962927fb646816a1c770b6
Your AI assistant 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.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
More from marielynneblock/arcanum-artifex
Every file in marielynneblock/arcanum-artifex