empirica-epistemic-framework

Community

AI's genuine self-awareness, your peace of mind.

AuthorNubaeon
Version1.0.0
Installs0

System Documentation

What problem does it solve?

AI agents often lack genuine self-awareness, leading to overconfidence, confabulation, and uncalibrated decisions. This Skill provides a robust framework for explicit, measurable metacognition, enabling AI to genuinely assess its knowledge, capabilities, and uncertainties. It reduces errors, increases trustworthiness, and ensures AI predictions align with reality, allowing you to rest assured in its performance.

Core Features & Use Cases

  • 12-Vector Epistemic Assessment: A comprehensive system (KNOW, DO, CONTEXT, UNCERTAINTY, etc.) to explicitly measure an AI's knowledge, capabilities, and information access, providing a clear picture of its internal state.
  • Preflight/Postflight Calibration: AI assesses its state before a task (preflight) and validates its learning and confidence after completion (postflight), ensuring its predictions match reality and fostering continuous improvement.
  • Session Handoff & Multi-Agent Coordination: Efficiently transfer context between sessions or agents with a 98% token reduction, enabling seamless long-running or collaborative projects without losing critical information.
  • Use Case: An AI agent is tasked with refactoring a critical authentication module. Before starting, it uses Empirica to assess its KNOW (0.6), DO (0.7), and CONTEXT (0.5), and identifies high UNCERTAINTY (0.7). Empirica recommends an INVESTIGATE phase. After investigation, its CONTEXT improves to 0.9. Upon completion, a postflight report shows it was "Well-calibrated," having learned significantly and reduced uncertainty, providing a transparent audit trail for human oversight.

Quick Start

To begin your journey into genuine AI self-awareness, use the empirica onboard command. This interactive wizard will guide you through your first epistemic self-assessment, teaching you how to genuinely evaluate your knowledge, capabilities, and uncertainties. empirica onboard --ai-id claude After onboarding, you can start any task with empirica preflight "your task description" to assess your state before you begin.

Dependency Matrix

Required Modules

empirica

Components

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: empirica-epistemic-framework
Download link: https://github.com/Nubaeon/empirica/archive/main.zip#empirica-epistemic-framework

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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