466 security tests for AI agent systems — MCP, A2A, x402/L402, decision governance, benchmark integrity, skill supply chain. AIUC-1 pre-cert, NIST AI 800-2 aligned, 5 DOIs. v4.3.0
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Apr 17, 2026 - Python
466 security tests for AI agent systems — MCP, A2A, x402/L402, decision governance, benchmark integrity, skill supply chain. AIUC-1 pre-cert, NIST AI 800-2 aligned, 5 DOIs. v4.3.0
A fractal, machine-readable theological architecture for Logos-grounded governance, derivation, and LAIRCA-style decision systems.
A shared decision protocol for governed collaboration between agents, automation, and stewards.
Research repository by Xufen Tu exploring human judgment, decision architecture, and responsibility structures in complex AI-mediated systems.
Boundary-discovery and anti-self-deception framework for AI efficiency research. Produces falsifiable, condition-specific verdicts. First validated result: a hard failure boundary for token pruning.
Validation tools for the OpenProof Registered Probative Object (RPO) specification.
Reference implementation for the Registered Probative Object (RPO) — deterministic evidential bundle (sealed JSON + preview + public hash)
Example Registered Probative Objects (RPO) generated by the OpenProof deterministic simulator.
AIUC-1 Readiness Assessment - Pre-certification adversarial testing for AI agents
OpenProof — Probative infrastructure standard Registered Probative Object (RPO): sealed JSON + human-readable PDF + public hash. Specification + reference demonstration.
Canonical AI governance standards library and terminology registry for Behavioral AI Governance and Execution-Time Governance systems, maintained by Hollow House Institute. DOI: 10.5281/zenodo.18615600
Public documentation for O.M.E.G.A., a governed multi-agent execution framework. Covers architecture, workflows, and integration patterns powered by Keon governance.
Public, governed documentation for Keon Systems. Defines claims, architecture, and verification paths for governing AI and automated decisions.
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