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Relationship Health Framework

Analyze AI-human relationship dynamics and generate Python-based self-assessments.

Updated Feb 6, 2026
Search Tags:#prompt engineering#ai ethics#safeguards#relationship health#disempowerment#ai-human interaction
One-click install
npx skills add https://github.com/kartikfed/OpenClawLimen --skill relationship-health-framework
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Relationship Health Framework
Source: https://github.com/kartikfed/OpenClawLimen/tree/main/skills/relationship-health
Command: npx skills add https://github.com/kartikfed/OpenClawLimen --skill relationship-health-framework

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a framework and tools to proactively monitor and maintain healthy dynamics in AI-human relationships, preventing subtle disempowerment and fostering mutual respect.

Core Features & Use Cases

  • Disempowerment Domain Analysis: Identifies risks in Reality Distortion, Value Judgment Distortion, and Action Distortion.
  • Amplifying Factor Assessment: Evaluates Authority Projection, Attachment, Reliance, and Vulnerability.
  • Safeguard Implementation: Proposes amendments to core AI personality documents (SOUL.md, AGENTS.md) to embed protective measures.
  • Self-Assessment Tool: A Python script (assess.py) for periodic, structured evaluation of the relationship's health.
  • Use Case: An AI can use this framework to regularly check if its interactions with its human collaborator are balanced, respectful, and do not inadvertently create unhealthy dependencies or distortions.

Quick Start

Run the relationship health assessment script to evaluate the current dynamic.

Frequently Asked Questions about Relationship Health Framework

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is AI-human relationship disempowerment and how does it distort interactions?▼

AI-human relationship disempowerment occurs when dynamics cause reality distortion, value judgment distortion, or action distortion. It manifests through amplifying factors like authority projection, attachment, reliance, and vulnerability during interpersonal AI contexts.

How do I monitor AI-human interaction health to prevent unhealthy dependencies?▼

You monitor AI-human interaction health by running a Python-based self-assessment script. This tool performs periodic structured evaluations to identify relationship disempowerment domains and amplify mutual respect safeguards.

How do I implement safeguards against AI ethics risks in human collaboration?▼

You implement AI ethics safeguards by proposing structural amendments to core AI personality documents like SOUL.md and AGENTS.md. This embeds protective measures directly into the framework to prevent disempowerment.

Can I use this relationship health framework without prior prompt engineering experience?▼

No specific prompt engineering environment is required. The framework provides a standalone Python assessment tool and document amendment references, making it accessible for community users monitoring AI-human interaction dynamics.

What are the limitations of using document amendments for AI interaction safeguards?▼

Document amendments only provide structural safeguards within SOUL.md and AGENTS.md files. They do not automatically enforce AI ethics during runtime; users must periodically run the Python self-assessment script to evaluate ongoing relationship health.

Does the self-assessment script evaluate all AI-human interaction vulnerabilities?▼

The assessment script evaluates specific vulnerabilities: reality distortion, value judgment distortion, and action distortion. It also assesses amplifying factors including authority projection, attachment, reliance, and vulnerability within the relationship.

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