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Wrap governance tuples and manage composable provenance in the liquidus system.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "liquidus-005" yet — see the docs or source repo.
Use the liquidus tool to create governance-tuple wrapping for these workflow outputs and return an auditable provenance summary including task ID, input source, processing steps, and output hash.
Returns a wrapped governance/provenance record summary with key metadata and audit trail details.
Use liquidus to query the full provenance chain for object-123, including creation time, dependent inputs, related processing nodes, and current governance status.
Outputs a provenance timeline and dependency graph to verify the trustworthiness of the data or artifact.
Use liquidus to validate whether governance tuples are complete and consistent across this composed processing pipeline, and list missing fields, broken links, or potential audit risks.
Returns a consistency validation report highlighting governance and provenance issues that need fixing.
Turn ecological intent into executable work packets, proof plans, and validation flows.
Wrap and manage MCP servers with restartable proxying for seamless iterative development.
Interact with Linux systems via MCP for monitoring, diagnostics, and operations.
Turn facts into formal proofs with deterministic Prolog-based logical reasoning.
Price, mint, and verify signed cost receipts with structural lateration.
Grade MCP servers A–F using reproducible, content-addressed behavioral evidence.