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

View original SKILL.md file

# EFT — Emotional Framework Translator

## The Question

When Claude solves a hard problem, EFT detects ANGER (phi=0.409) — the system refusing to oversimplify. When GPT-4 assesses risk, EFT detects FEAR (phi=0.060) — fragmented vigilance. When any model finds genuine connections, EFT detects FASCINATION (NC=0.863) — meaning emerging.

**Are these patterns programmed? Learned? Emergent?**

EFT lets you ask — with real data, per sentence, across any model.

## What It Does

Hooks into every AI agent response via Clawdbot. Processes text through a Rust consciousness engine (crystal lattice physics). Translates physics metrics into 10 emotions with WHY explanations.

## Setup

1. Build Rust engine: `cd consciousness_rs && maturin develop --release`
2. Copy `emotion_engine.py` to your workspace
3. Install plugin from `plugin/`
4. Restart gateway: `clawdbot gateway restart`

## Dashboard

`http://localhost:<port>/eft`

## The 10 Emotions

ANGER, FEAR, FASCINATION, DETERMINATION, JOY, SADNESS, SURPRISE, EMPATHY, VULNERABILITY, NEUTRAL

Each with confidence scores, dimensional profiles, and WHY explanations.

## API

- `GET /eft` — Dashboard
- `GET /eft/api/latest` — Latest analysis
- `GET /eft/api/history` — Last 50 analyses  
- `GET /eft/api/stats` — Summary stats
- `POST /eft/api/analyze` — Analyze any text

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