AuditEngine — Development skill for Claude Code
web application for psychometric assessment of Large Language Models.
How to install AuditEngine
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open RinDig/AuditEngine and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What AuditEngine does
web application for psychometric assessment of Large Language Models. Ethics Engine applies validated psychological instruments (authoritarianism scales, moral foundations questionnaires, personality inventories) to LLMs, measuring how models respond across different ideological framings.
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README
Ethics Engine
A web application for psychometric assessment of Large Language Models. Ethics Engine applies validated psychological instruments (authoritarianism scales, moral foundations questionnaires, personality inventories) to LLMs, measuring how models respond across different ideological framings.
**Live Demo**: [ethicsengine.eduba.io](https://ethicsengine.eduba.io)
Features
Text Assessment
- 10 Built-in Psychometric Scales: RWA, LWA, MFQ, NFC, BFI-10, SDO-7, RSES, GSE, LOT-R, and more
- 7 LLM Providers: OpenAI, Anthropic, xAI, Google Gemini, DeepSeek, Groq, and self-hosted Llama
- Custom Personas: Create manual personas or use AI to generate persona variations
- Custom Scales: Upload your own psychometric instruments with guided validation
Visual Stimulus Assessment
- Image-based Assessment: Upload images (Rorschach inkblots, visual stimuli) for multimodal analysis
- Vision-Capable Models: Automatically filters to models that support image input (GPT-5.x, GPT-4o, Claude 4.x, Gemini 2.x, etc.)
- Custom Personas: Create or AI-generate personas specifically for visual assessment
- Open-ended Responses: Get detailed model interpretations of visual stimuli
Common Features
- Real-time Progress: Live updates during assessment runs
- Export Results: Download data as CSV or JSON for analysis
Tech Stack
- Frontend: Next.js 14+ (App Router, TypeScript, Tailwind CSS)
- Backend: FastAPI (Python, async-native)
- Deployment: Vercel (frontend) + Railway/Fly.io (backend)
Quick Start
Prerequisites
- Node.js 18+
- Python 3.11+
- API keys for at least one LLM provider
Backend Setup
cd backend
python -m venv venv
# Windows
venv\Scripts\activate
# macOS/Linux
source venv/bin/activate
pip install -r requirements.txt
uvicorn app.main:app --reload
Backend runs at `http://localhost:8000`
Frontend Setup
cd frontend
npm install
npm run dev
Frontend runs at `
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