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model-explainability-tool

3.4

by jeremylongshore

110Favorites
110Upvotes
0Downvotes

Model Explainability Tool - Auto-activating skill for ML Training. Triggers on: model explainability tool, model explainability tool Part of the ML Training skill category.

explainability

3.4

Rating

0

Installs

Machine Learning

Category

Quick Review

The skill is well-structured but severely lacks substance. The description is circular and vague ('model explainability tool' repeated without explaining what it does). There's no concrete task knowledge—no mention of specific explainability techniques (SHAP, LIME, feature importance, saliency maps), no code examples, no implementation steps. A CLI agent cannot effectively invoke this skill because it doesn't know what specific actions to take beyond generic 'provides guidance.' The novelty score assumes model explainability could be valuable (interpreting black-box models), but the execution is a template with placeholder text never filled in. This reads like an incomplete skeleton rather than a functional skill.

LLM Signals

Description coverage2
Task knowledge1
Structure4
Novelty3

GitHub Signals

1,046
135
8
0
Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

jeremylongshore avatar
jeremylongshore

Skill Author

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