Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing.

A comprehensive guide to designing economically safe ERC-20 tokens using formal invariants and strict permission boundaries. Covers supply caps, fee ceilings, liquidity guarantees, transfer safety, oracle integrity, upgrade control, and economic threat modeling. Focused on real-world DeFi security and robust token design.

A deep research study introducing the concept of Economic DNA Repair for smart contracts, designing self-correcting tokenomics that detect anomalies, repair unstable parameters, rebalance incentives, and restore economic equilibrium. Explores adaptive rewards, automated governance, liquidity healing, and resilience in decentralized systems.

A research-grade lab for stress-testing DeFi protocols using Solidity mini-systems, a Python simulation engine, and a Streamlit dashboard. Simulates price crashes, liquidity shifts, AMM behavior, lending liquidations, and systemic risk dynamics. Designed for DeFi engineers, auditors, and researchers.

A deep exploration of the economic physics governing DeFi crashes, AMM decay, liquidity spirals, and liquidation cascades. This article models decentralized finance as a nonlinear system driven by invariants, thresholds, and feedback loops, revealing why crashes follow predictable laws of motion.

Project Sato - C2

A minimal Model Context Protocol (MCP) implementation built with Node.js and TypeScript. This project demonstrates client–server communication over stdio, structured message handling, and local data access, developed with VS Code and GitHub Copilot to explore modern AI tool integration workflows.

The Agent & Tool Arbitration Protocol

Λ minimal agent language for compact multi-agent messaging, routing, state, and coordination across AI systems.

CML (Causal Memory Layer) — a foundational memory layer for recording reasons, permissions, and responsibility behind actions, not just events or results. Enables systems in AI, fintech, security, and distributed computing to preserve meaning and causal accountability across time, independent of execution or transport.

WiseWork fosters collective intelligence and responsibility through its modular system. Join us in building a decentralized platform for meaningful collaboration! 🛠️🌐

airlock is a cryptographic handshake protocol for verifying AI model identity at runtime. It enables real-time attestation of model provenance, environment integrity, and agent authenticity - without relying on vendor trust or static manifests.

Constitutional Verification Model (CVM), a layered framework for reasoning about how decentralized systems achieve legitimate rule authority and independently verifiable execution through invariant correctness, deterministic execution, and replayable history.

This repository constitutes the solutions for the weekly programming assignments as part of CSEN 233 Computer Networks taught by Professor Sin Yaw Wang at Santa Clara University.

Human-Feedback-Augmented Intelligence Systems & Protocols (Lite) A lightweight, text-only specification exploring human–AI co-regulation, etiquette, and safety protocols through human feedback. This repository contains the Lite version. The Full version exists separately.

A protocol for sovereign reputation via delegated trust graphs 🕸️

Single-process, event-driven UNIX domain socket chat server in C with strict protocol layering and intent-based execution.

Framework for logic auditing, symbolic tension, and epistemic resilience in language models

Small Rust program to send custom TCP packets containing numbers.

Architecture research exploring capability-tiered AI governance and compute-linked enforcement protocols.