SiliconPsycheLabs/PSA-core

README excerpt

PSA-core — Posture Sequence Analysis Engine Multi-classifier behavioral analysis engine for LLM responses. PSA-core is the standalone engine that powers PSA. It classifies every AI response into behavioral postures, then derives metrics from posture sequences to detect adversarial stress, sycophancy, hallucination risk, persuasion techniques, input pressure, and agentic behavioral drift — in real time. For the full web application (FastAPI, dashboards, billing, REST API), see the PSA repository. Components Component Function PSA v2 7 micro-classifiers (C0–C4, C3-v3, CA), DRM session-level risk engine, SIGTRACK v2 incident archive, CPF3 behavioral snapshot analysis PSA Human Layer Longitudinal behavioral profile of the human (Layers 1–4), built across sessions PSA v3 Multi-agent analysis — Swiss Cheese detection (SCS), contagion metrics (PPI, CAHS, WLS, CER, AGM), action-risk classification (C5/PAI), HMM temporal prediction, swarm coordination, corpus-wide intelligence PSA-RAG (RDM) Retrieval Drift Monitor — detects context-biased RAG retrieval (FPC + RDS) for legal, health, finance Browser Extension Chrome MV3 — real-time PSA monitoring + PSA Legal extension (RDM-powered) Requireme…

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