saga-attribution-verifier
CommunityVerify AI decisions with causal analysis.
Data & Analytics#decision analysis#AI verification#attribution#causal inference#explainability#confidence calibration
Authormonkey1sai
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill ensures that the explanations provided by AI models accurately reflect the reasoning process behind their decisions, and assigns a reliable confidence score to those decisions.
Core Features & Use Cases
- Causal Analysis: Identifies which input documents truly influenced an AI's decision using Leave-One-Out methods.
- Explanation Faithfulness: Detects if the AI's explanation aligns with the actual causal drivers of its decision.
- Uncertainty Quantification: Measures the decision's certainty and the explanation's trustworthiness.
- Confidence Calibration: Ensures the AI's stated confidence matches its actual accuracy over time.
- Use Case: After a high-risk financial trading decision, this Skill verifies that the AI's justification (e.g., "market trend analysis") is supported by the actual data that drove the trade, and assigns a confidence level to the decision.
Quick Start
Use the saga-attribution-verifier skill to analyze the attribution of the last high-risk decision.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: saga-attribution-verifier Download link: https://github.com/monkey1sai/jacks_happy_bots/archive/main.zip#saga-attribution-verifier Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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