Claude-skill-registry Confidence Scoring

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

install

source · Clone the upstream repo

git clone https://github.com/majiayu000/claude-skill-registry

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/confidence-scoring" ~/.claude/skills/majiayu000-claude-skill-registry-confidence-scoring && rm -rf "$T"

manifest: skills/data/confidence-scoring/SKILL.md

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
```