shap-explainer

name	shap-explainer
description	Explain machine learning model predictions using SHAP (SHapley Additive exPlanations). Use when this capability is needed.
metadata	{"author":"DTMC-marketplace"}

SHAP Explainer

Category: Trust EU AI Act Reference: Art. 13 Source: 3rd-party (SHAP)

When to Use This Skill

Use this skill when:

• SHAP Explainer tasks - Working on explain machine learning model predictions using shap (shapley additive explanations)
• Compliance assessment - Evaluating AI systems against Art. 13 requirements
• Risk mitigation - Implementing controls for trust risks

Overview

Explain machine learning model predictions using SHAP (SHapley Additive exPlanations). Provide local and global feature importance, dependency plots, and model interpretation.

Key Requirements

Regulatory Context (Art. 13)

This tool supports compliance with the following EU AI Act requirements:

1. Assessment - Evaluate current state against Art. 13 requirements
2. Implementation - Deploy appropriate controls and measures
3. Documentation - Record findings, decisions, and evidence
4. Monitoring - Establish ongoing monitoring and review processes

Assessment Checklist

• Identify applicable Art. 13 requirements
• Assess current compliance status
• Document gaps and findings
• Develop remediation plan
• Implement required controls
• Verify effectiveness of measures
• Maintain ongoing documentation

Integration Notes

Source Type: 3rd-party (SHAP) Category: Trust

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Source: DTMC-marketplace/governance — distributed by TomeVault.