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GitHub Skill

confidence-scoring

See the main Model Explainability skill for comprehensive coverage of confidence scoring and calibration.

AmnadTaowsoam☆ 0 Repository stars0 Repository forks

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

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Skill instructions

Confidence Scoring

This skill is covered in detail in the main Model Explainability skill.

Please refer to: 44-ai-governance/model-explainability/SKILL.md

That skill covers:

  • SHAP and LIME for feature importance
  • Confidence scoring and interpretation
  • Calibration techniques
  • Explainability for different model types
  • LLM-specific explainability
  • Presenting explanations to users
  • Tools (SHAP, LIME, InterpretML, Captum)
  • Real-world explainability examples

For confidence-specific topics, also see:

  • Confidence thresholds in 44-ai-governance/human-approval-flows
  • Model risk management in 44-ai-governance/model-risk-management

Related Skills

  • 44-ai-governance/model-explainability (Main skill)
  • 44-ai-governance/human-approval-flows
  • 44-ai-governance/model-risk-management

Examples

Read the usage examples in the source repository.

View source ↗

Source history

Indexed on
2026-01-20
Index updated
2026-01-26
Branch
main

Index and sync dates describe this directory. View the source repository for code history.

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