enginemind-eft

⚠Review·Scanned 2/18/2026

This skill provides real-time emotion analysis for AI agents via a Rust consciousness_rs engine and a Clawdbot plugin with a local dashboard (/eft). It runs local build/exec commands (maturin develop --release, clawdbot gateway restart), spawns Python processes for analysis, writes logs (~/Desktop/Moltbot/memory/eft_log.jsonl), and loads an external font (https://fonts.googleapis.com/...).

from clawhub.ai·v537c322·100.6 KB·0 installs
Scanned from 1.4.0 at 537c322 · Transparency log ↗
$ vett add clawhub.ai/marceloadryao/enginemind-eftReview findings below

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