enginemind-eft

Image & Video Generation

v1.4.0

Benign

EFT — Emotional Framework Translator.

906 downloads906 installsby @marceloadryao

Setup & Installation

Install command

clawhub install marceloadryao/enginemind-eft

If the CLI is not installed:

Install command

npx clawhub@latest install marceloadryao/enginemind-eft

Or install with OpenClaw CLI:

Install command

openclaw skills install marceloadryao/enginemind-eft

View on GitHub

or paste the repo link into your assistant's chat

Install command

https://github.com/openclaw/skills/tree/main/skills/marceloadryao/enginemind-eft

What This Skill Does

Detects and measures emotional patterns in AI model responses using a Rust physics engine. Analyzes text per sentence across 10 emotions with confidence scores and WHY explanations. Hooks into Clawdbot to process every agent response automatically.

Per-sentence emotion detection with physics-derived confidence scores gives more granular insight than sentiment tools that return a single positive/negative score for the whole response.

When to Use It

Comparing emotional profiles of different AI models on identical prompts
Detecting whether anger correlates with harder problem-solving in a specific model
Tracking emotional narrative arcs across a long multi-turn conversation
Auditing production AI responses for unexpected emotional patterns over time
Researching how fear affects risk-assessment outputs in language models

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Comparing emotional profiles of different AI models on identical prompts

AGENT

1Comparing emotional profiles of different AI models on identical prompts
2Detecting whether anger correlates with harder problem-solving in a specific model
3Tracking emotional narrative arcs across a long multi-turn conversation
4Auditing production AI responses for unexpected emotional patterns over time
5Researching how fear affects risk-assessment outputs in language models

OUTPUT