Introducing si-protocols

1 June 2025

announcementopen-source

Cybersecurity for the soul

The spiritual and metaphysical space has a disinformation problem. Vague authority claims, manufactured urgency, emotional manipulation, and fear-based patterns are common in channelled material, self-help content, and new-age narratives. Yet there are virtually no tools to help people identify these patterns.

si-protocols is our attempt to change that.

What it does

The threat filter analyses text across two layers:

Tech layer — a spaCy NLP pipeline that detects vagueness patterns (adjective density), authority claims (phrase matching), urgency/fear triggers, and emotional manipulation (lemma-based fear/euphoria detection with a contrast bonus when both polarities appear). Each dimension is scored independently, then combined with configurable weights (30/30/20/20).
Heuristic layer — a probabilistic dissonance scanner. Currently a randomised placeholder, this layer is designed to eventually integrate biofeedback signals for a more holistic analysis.

The final output is a 0–100 hybrid score — higher values indicate more markers of potential disinformation.

Design principles

Local-only — your texts never leave your machine. We do not host, collect, or analyse third-party content.
Transparent — all marker definitions are plain word/phrase lists in markers.py. No black-box models.
Synthetic testing — the repository contains only synthetic example texts. No real channelled material is included.

Getting started

git clone https://github.com/lemur47/si-protocols.git
cd si-protocols
uv sync --all-extras
uv run si-threat-filter examples/synthetic_suspicious.txt

See the quickstart guide for full setup instructions.

What’s next

This is v0.1 — the foundation. We’re exploring:

Expanded marker dictionaries for different spiritual traditions
Biofeedback integration for the heuristic layer
Browser extension for real-time analysis
Community-contributed marker sets

The project is MIT-licenced and contributions are welcome. Check the GitHub repository to get involved.