OpenClaw · Skill
EFT
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.
Install
Start with the primary install command. Alternate entrypoints are included below for ClawHub and OpenClaw CLI users.
Primary command
clawhub install marceloadryao/enginemind-eftClawHub installer
npx clawhub@latest install marceloadryao/enginemind-eftOpenClaw CLI
openclaw skills install marceloadryao/enginemind-eftDirect OpenClaw install
openclaw install marceloadryao/enginemind-eftWhat this skill does
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.
Why it matters
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.
Typical use cases
- 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
Source instructions
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
- Build Rust engine:
cd consciousness_rs && maturin develop --release - Copy
emotion_engine.pyto your workspace - Install plugin from
plugin/ - 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— DashboardGET /eft/api/latest— Latest analysisGET /eft/api/history— Last 50 analysesGET /eft/api/stats— Summary statsPOST /eft/api/analyze— Analyze any text