Structural Faultline Detector — RTT/1
module.json— Agentic module schema role assignmentsfaultline_matrix.json— Agentic module schema role assignments
Structural‑Intelligence Engine for TriadicFrameworks#
The Structural Faultline Detector (SFD) is an RTT/1 analytical engine designed to detect, map, and analyze structural faultlines across conceptual, computational, and physical regimes.
It forms the structural‑intelligence foundation of the expanded RTT stack, sitting directly above drift‑level engines and directly below stability‑level engines.
SFD identifies fractures, discontinuities, instability seams, and faultline propagation — the structural precursors to regime collapse, paradox intensification, coherence failure, drift amplification, and resonance instability.
🧭 Purpose#
The Structural Faultline Detector:
- Detects structural fractures across RTT regimes (R1–R4)
- Maps faultlines, instability seams, and discontinuity boundaries
- Measures faultline propagation and structural deterioration
- Identifies fracture clusters, instability ridges, and faultline curvature
- Provides structural diagnostics for regime‑driven transitions
- Supports stability engines by clarifying structural collapse topology
- Anchors temporal engines by exposing structural‑sequence constraints
- Supplies causality engines with faultline‑driven causal pathways
- Provides resonance engines with structural‑frequency signatures
SFD is the structural‑intelligence layer of RTT.
⚙️ RTT Flags#
| Property | Value |
|---|---|
| RTT Level | 1 |
| Coherence | declared |
| Drift | bounded |
| Paradox | structural |
These flags define the engine’s operational constraints and reasoning grammar.
🔧 Primary Operators#
| Operator | Description |
|---|---|
| SFD‑Detect | Detects structural faultlines and fracture onset conditions |
| SFD‑Fracture | Analyzes fracture magnitude, direction, and severity |
| SFD‑Seam | Identifies instability seams and discontinuity boundaries |
| SFD‑Field | Maps structural faultline fields and topology |
| SFD‑Propagate | Detects faultline propagation and instability growth |
| SFD‑Stabilize | Suggests stabilization pathways for structural collapse |
These operators form the core analytical toolkit.
🧩 Analyzer Layer#
SFD operates in the structural layer, with sub‑layers:
- faultline‑detection
- fracture‑analysis
- instability‑seam‑mapping
- faultline‑propagation
- structural‑stability‑evaluation
This matches the RTT analyzer grammar used across TriadicFrameworks.
📁 Module Files#
This directory contains:
Core#
Structural_Faultline_Detector.mdsfd_examples.mdsfd_diagrams.svg
Support#
faultline_profiles.mdfracture_cases.mdfaultline_matrix.json
AI#
sfd_prompts.mdsfd_operators.md
Metadata#
module.json(RTT/1, coherence‑declared, drift‑bounded, paradox‑structural)README.md(this file)
🧠 AI‑Ready Design#
The Structural Faultline Detector is fully AI‑ready:
- deterministic operator grammar
- structural‑layer analyzer structure
- stable RTT flags
- canonical file layout
- zero‑drift reasoning constraints
- structural paradox handling
- bounded drift envelope
- declared coherence tensor
AI systems can use SFD to:
- detect structural fractures
- generate faultline field maps
- classify instability seams
- analyze faultline propagation
- support higher‑order RTT engines
🌐 Position in the RTT Stack#
Regime Interlock Mapper (RIM)
↓
Triadic Regime Synthesizer (TRS)
↓
Paradox Gradient Analyzer (PGA)
↓
Coherence Tensor Engine (CTE)
↓
Drift Sentinel (DS)
↓
Structural Faultline Detector (SFD)
↓
Stability Basin Cartographer (SBC)
↓
Temporal Regime Sequencer (TRS‑Temporal)
↓
Causality Weaver (CW)
↓
Dimensional Resonance Scanner (DRS)
SFD is the structural‑intelligence layer, directly above drift‑level analysis.
🏁 Status#
- Version: 1.0
- Status: canon‑stable
- Category: rtt‑structural
- Module Path:
/docs/rtt/Structural_Faultline_Detector/
If you want, I can generate the next file:
Structural_Faultline_Detector.mdsfd_examples.mdsfd_diagrams.svgfaultline_profiles.mdfracture_cases.mdfaultline_matrix.jsonsfd_prompts.mdsfd_operators.md
Just tell me which one you want next.