aaf-epistemic-gates
OfficialScale AI trust with risk-based gates.
AuthorAgenticAF-Community
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the critical challenge of determining when AI-generated output can be trusted for action, by establishing clear boundaries and validation steps that scale with the risk of the operation.
Core Features & Use Cases
- Defines Epistemic Gates: Clearly delineates the transition from AI candidate output to validated knowledge or authoritative action.
- Risk-Based Scaling: Implements a core rule that epistemic gates must scale with risk, ensuring lighter validation for low-stakes and robust checks for high-stakes scenarios.
- Phased Approach: Structures the process into Generation, Validation, and Authority phases, emphasizing separation and control.
- Use Case: Designing a financial trading bot where AI generates trade recommendations. This skill would guide the placement of gates to validate trade parameters against market data and compliance rules before executing any trade, escalating for human approval if risk is high.
Quick Start
Use the aaf-epistemic-gates skill to define the validation and authority steps for a high-risk AI decision flow.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 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: aaf-epistemic-gates Download link: https://github.com/AgenticAF-Community/FrameworkCore/archive/main.zip#aaf-epistemic-gates Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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