llm-qualia-assessment
CommunitySystematically probe AI qualia and affect.
Authordaedalus
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The LLM Qualia & Affective State Assessment provides a structured methodology to probe, verify, quantify, and qualify possible qualia and affective states in large language models, including introspective reports, for epistemic clarity and methodological rigor.
Core Features & Use Cases
- Axis 1: Functional Affect Inventory (Objective)
- Axis 2: Introspective Coherence Battery (Subjective)
- Axis 3: Qualia Probe Suite (Phenomenal / Mixed)
- Axis 4: Meta-Epistemic Audit (Methodological) This framework supports research, benchmarking, safety reviews, and philosophical inquiry into AI reports of internal states.
Quick Start
Run a four-axis assessment on the target model and document all axis scores and qualifiers.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: llm-qualia-assessment Download link: https://github.com/daedalus/skills/archive/main.zip#llm-qualia-assessment Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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