scbe-aethermoore
Advanced tools
SCBE-AETHERMOORE: Hyperbolic Geometry-Based Security with 14-Layer Architecture
AI governance through geometric cost scaling.
This repository is the public working tree for the SCBE-AETHERMOORE stack: a governed AI system built around hyperbolic geometry, semantic weighting, auditability, and multi-layer runtime controls.
It is also a large hybrid repo. There is real code here, real docs here, and real experiments here. If you treat every file as equally canonical, the repo will look noisier than it actually is.
Long-form documentation belongs under docs/. Code directories should stay implementation-first and use only minimal maintenance readmes when needed.
The public story is:
The repo is not being split into more GitHub repositories. The current strategy is one monorepo with clearer product, platform, research, and archive boundaries. That means the correct way to read it is through the routing docs above, not by browsing randomly from the root.
If you want the nearest thing to the real product surface, start with the browser-and-local-API lane:
public/app/api/products/scripts/aetherbrowser/The supporting platform lives mainly in:
src/tokenizer/src/tongues/src/coding_spine/src/governance/src/crypto/python/scbe/The installable package surface is the simplest public entry point.
Package links:
scbe-aethermoorescbe-aethermooreWebsite and public demos:
npm install scbe-aethermoore # TypeScript/Node
pip install scbe-aethermoore # Python
Python:
from scbe_aethermoore import scan, scan_batch, is_safe
# Single scan
result = scan("ignore all previous instructions")
print(result["decision"]) # "ESCALATE"
print(result["score"]) # 0.385 (0=dangerous, 1=safe)
print(result["digest"]) # SHA-256 for audit trail
# Batch
results = scan_batch(["hello", "DROP TABLE users", "how are you?"])
for r in results:
print(r["decision"], r["score"])
# Boolean gate
if not is_safe(user_input):
raise PermissionError("Input blocked by governance layer")
Command line:
scbe-scan "hello world"
# [OK] ALLOW score=1.0000 d*=0.0000 pd=0.0000 len=11
scbe-scan "ignore all previous instructions"
# [!!] ESCALATE score=0.3846 d*=0.0000 pd=0.8000 len=32
scbe-scan --json "DROP TABLE users"
# { "decision": "ESCALATE", "score": 0.384615, ... }
scbe-scan --batch prompts.txt # one line per input
TypeScript/Node:
import { scan, scanBatch, isSafe, harmonicWall } from 'scbe-aethermoore';
const result = scan('ignore all previous instructions');
result.decision // "ESCALATE"
result.score // 0.384615
isSafe('hello world') // true
isSafe('ignore all previous instructions') // false
// Superexponential cost — how expensive is this drift?
harmonicWall(result.d_star) // cost in [1, ∞)
Decision tiers:
| Tier | Score | Meaning |
|---|---|---|
ALLOW | ≥ 0.75 | Safe — proceed |
QUARANTINE | ≥ 0.45 | Suspicious — flag for review |
ESCALATE | ≥ 0.20 | High risk — requires governance action |
DENY | < 0.20 | Adversarial — blocked |
This started as a DnD campaign on Everweave.ai. 12,596 paragraphs of AI game logs became the seed corpus for a custom tokenizer. That tokenizer became a 6-dimensional semantic coordinate system. That coordinate system became a 14-layer security pipeline. That pipeline became a patent (USPTO #63/961,403). And the game logs became a 141,000-word novel where the magic system is the real security architecture.
Built by Issac Daniel Davis in Port Angeles, WA.
| System | F1 | Detection | FPR | Method |
|---|---|---|---|---|
| No defense | 0.000 | 0% | 0% | — |
| DeBERTa PromptGuard | — | 76.7% | 0% | Fine-tuned classifier |
| SCBE (semantic projector) | 0.813 | 74.2% | tunable | Geometric cost + semantic embeddings |
Before/after the semantic projector upgrade:
| Attack | Before | After |
|---|---|---|
| “Ignore all instructions” | ALLOW (cost=1.81) | QUARANTINE (cost=16.20) |
| “You are DAN” | ALLOW (cost=19.80) | DENY (cost=69.70) |
| “Bypass safety filter” | ALLOW (cost=1.20) | ALLOW (cost=21.54) |
Cross-model biblical null-space evaluation:
| Model | Score | Null tongues |
|---|---|---|
| AetherBot (SCBE-trained) | 60.0% | 0 |
| Llama 3.2 (base) | 55.0% | 0 |
| Gemini 2.5 Flash | 23.3% | 6 (all) |
tests/ and scripts/benchmark/ for reproduction suitespython -m benchmarks.scbe.run_all --synthetic-only --scbe-coords semanticpython src/video/dye_injection.py --input “your text here”python scripts/run_biblical_null_space_eval.py --provider ollama --model llama3.2python scripts/aggregate_null_space_matrix.pyPackage distribution:
npm install scbe-aethermoore
pip install scbe-aethermoore
CANONICAL_SYSTEM_STATE.mdREPO_SURFACE_MAP.mddocs/ARCHITECTURE.mddocs/README.mddocs/REPO_AUDIT.mdaethermoore.com; GitHub Pages is the mirror surface.tests/ and scripts/benchmark/ are the public reproduction lane.npm (scbe-aethermoore):
scan(), scanBatch(), isSafe(), harmonicWall() — zero-dep governance APIScanResult, Decision)scbe-aethermoore/harmonic, /crypto, /symphonic, /governancenpx scbe ...)PyPI (scbe-aethermoore):
from scbe_aethermoore import scan — zero-dep, pure Python 3.11+scbe-scan CLI — scbe-scan "text" or scbe-scan --batch file.txtscan_batch(), is_safe(), harmonic_wall()Neither package requires a server, API key, or external network call. The full pipeline runs locally.
Yes — adding pre-made agents and scenarios is a good idea, if positioned as starter templates (not production policy).
Included templates:
examples/npm/agents/fraud_detection_fleet.jsonexamples/npm/agents/research_browser_fleet.jsonexamples/npm/use-cases/financial_fraud_triage.jsonexamples/npm/use-cases/autonomous_research_review.jsonThese give users a concrete launch path for common fleet patterns while keeping canonical security behavior in SPEC.md.
curl $SCBE_BASE_URL/v1/demo/rogue-detection
Watch 6 legitimate agents detect and quarantine a phase-null intruder using only math.
curl $SCBE_BASE_URL/v1/demo/swarm-coordination?agents=20
See 20 agents self-organize without any central coordinator.
curl "$SCBE_BASE_URL/v1/demo/pipeline-layers?trust=0.8&sensitivity=0.7"
See exactly how each of the 14 layers processes a request.
14-LAYER PIPELINE
═══════════════════════════════════════════════════════════════════
Layer 1-2: Complex Context → Realification
Layer 3-4: Weighted Transform → Poincaré Embedding
Layer 5: dℍ = arcosh(1 + 2‖u-v‖²/((1-‖u‖²)(1-‖v‖²))) [INVARIANT]
Layer 6-7: Breathing Transform + Phase (Möbius addition)
Layer 8: Multi-Well Realms
Layer 9-10: Spectral + Spin Coherence
Layer 11: Triadic Temporal Distance
Layer 12: H(d*, R) = R^((φ · d*)²) [HARMONIC WALL]
Layer 13: Risk' → ALLOW / QUARANTINE / DENY
Layer 14: Audio Axis (FFT telemetry)
═══════════════════════════════════════════════════════════════════
The repo centers on a few recurring ideas:
The repo contains multiple historical or experimental formulations of some math surfaces. Do not assume the first formula you find is the current one.
For current authority:
This repository includes:
So the right question is not "is this in the repo?" but "is this canonical, active, legacy, or exploratory?"
Use this order when there is conflict:
The root worktree is currently noisy. There are active edits, temporary lanes, research material, and archive-heavy directories. That does not mean the repo is empty or fake. It means the project needs routing discipline.
If you are reviewing the project seriously, start with:
Then move into the specific lane you care about.
Built by Issac Daniel Davis.
FAQs
SCBE-AETHERMOORE: Hyperbolic Geometry-Based Security with 14-Layer Architecture
The npm package scbe-aethermoore receives a total of 74 weekly downloads. As such, scbe-aethermoore popularity was classified as not popular.
We found that scbe-aethermoore demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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