model-explainability-tool

name	Model Explainability Tool
author	explainai
version	1.0.0
type	tool
category	Machine Learning
license	MIT
description	Generates model explanations using SHAP, LIME, and feature importance with visual interpretations
tags	["tool","machine-learning","ai","automation"]
models	["gpt-4o","claude-3.5-sonnet","gemini-1.5-pro"]
parameters	{"temperature":{"type":"number","default":0.7,"min":0,"max":2,"description":"Controls randomness in output generation"},"max_tokens":{"type":"integer","default":4096,"min":256,"max":16384,"description":"Maximum number of tokens to generate"},"streaming":{"type":"boolean","default":false,"description":"Enable streaming output"}}
inputs	{"query":{"type":"string","required":true,"description":"Primary input for the skill"},"context":{"type":"object","required":false,"description":"Additional context for processing"}}
outputs	{"result":{"type":"string","description":"Primary output from the skill"},"metadata":{"type":"object","description":"Execution metadata including tokens used and latency"}}

Model Explainability Tool

Generates model explanations using SHAP, LIME, and feature importance with visual interpretations

Usage

This skill can be used standalone or as part of an Agent workflow on SkillsHub.

Standalone

skillshub run explainai/Model-Explainability-Tool --input "Your query here"

In Agent

Add this skill to your Agent configuration to enable its capabilities.