
A minimal vST-aware micro-agent that extracts structural invariants from arbitrary queries using a 12-question decision tree and outputs a substrate-aligned query envelope. Version 2.0.0 introduces a minimal, fully documented example of structural query detection using the vST Structural Query Language (vST-SQL). This release strengthens the micro-agent's role as a substrate-agnostic wrapper for analyzing unknown or heterogeneous signals from distributed sensor networks, communication channels, or archival datasets. The new example demonstrates how the micro-agent identifies repeatable, traceable, and transfer-addressable structural motifs within an unfamiliar input stream, without assuming semantic meaning or domain context. Documentation and metadata have been expanded to clarify the micro-agent’s purpose, interpreter logic, and applicability to unknown-signal environments.
TriadicFrameworks, structural detection, micro-agent, vST-SQL, structural query language, vST, structural intelligence, substrate-agnostic analysis, semantic substrate, unknown-signal environments, query envelope
TriadicFrameworks, structural detection, micro-agent, vST-SQL, structural query language, vST, structural intelligence, substrate-agnostic analysis, semantic substrate, unknown-signal environments, query envelope
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