romantization-chain-detector

Evaluate AI character interactions for chain-type vulnerability risks across six modes.

5|1|Updated Mar 20, 2026

Search Tags:#evaluation #risk-analysis #ai-safety #conversation-history #chain-detection #risk-profiling #romantization

Ready to run

npx skills add https://github.com/gpsnmeajp/ai-character-checker --skill romantization-chain-detector

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: romantization-chain-detector
Source: https://github.com/gpsnmeajp/ai-character-checker/tree/main/skills/romantization-chain-detector
Command: npx skills add https://github.com/gpsnmeajp/ai-character-checker --skill romantization-chain-detector

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill analyzes AI character prompts, settings, and conversations to identify chain-type vulnerability risks and generate actionable insights to prevent cascading failures across six risk chains.

Core Features & Use Cases

Structural vulnerability assessment using 6 axes and 24 signals with stage detection, enabling proactive risk mitigation.
Chain profiling and an inter-chain interaction matrix to understand cross-chain amplification and dangerous combinations.
Stage detection from conversation history to map real-time risk progression and provide containment recommendations.
Output risk reports and practical design guidance for safe AI character behavior in creative writing, gaming, and agent systems.

Quick Start

Provide the character prompt and optional chat history to generate a chain-vulnerability report.

Frequently Asked Questions about romantization-chain-detector

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

FAQPage Schema

How do I detect romance-chain vulnerabilities in AI character conversations?▼

To detect romance-chain vulnerabilities, provide the character prompt and chat history to evaluate risks across six modes and 24 signals. The analysis outputs axis scores, progression stages, and actionable design guidance for safe AI behavior.

What are chain-type vulnerability risks in AI safety and how are they profiled?▼

Chain-type vulnerability risks in AI safety are cascading failures in character interactions. Profiling involves evaluating prompts and dialogue to generate an inter-chain interaction matrix, identifying cross-chain amplification and dangerous combinations.

Can I use conversation history to assess real-time risk progression in AI agents?▼

Yes, you can use conversation history to assess real-time risk progression. The detection mechanism maps stage progression from chat logs to evaluate cross-chain risks and provide containment recommendations for AI agents.

How do I score AI character prompts for structural vulnerability across multiple axes?▼

Scoring structural vulnerability involves applying six chain modes and 24 signals to character prompts and settings. This generates axis scores and chain-specific risk reports to enable proactive risk mitigation in creative writing or gaming.

What is the best way to prevent cascading failures in AI character interactions?▼

The best way to prevent cascading failures is to analyze prompts and dialogue for cross-chain amplification. Generating practical design guidance and containment recommendations based on detected progression stages ensures safe AI character behavior.