Open-source GRC toolkit from the GRC Engineering Club. Claude Code plugins for evidence collection, SCF crosswalks, multi-framework gap reports, OSCAL workflows.

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.

The memory + security kernel for AI agents. Strata: a signed append-only log, receipts on every write, exact-handle recall, memory agents can't rewrite. Operator Lite: a GuardFall-proof gate on 16 hosts.

Lightweight Agent Detection & Response (ADR) layer for AI agents — guards commands, files, and web requests. Part of Gen Agent Trust Hub.

Rigor Intake helper for README-first deep learning repo reproduction. Use when the task is specifically to scan a repository, read the README and common project files, extract documented commands, classify inference, evaluation, and training candidates, and return the smallest trustworthy reproducti

Rust MCP server and CLI for Tailscale devices, users, keys, policies, and auth.

Detects prompt injection by its effect on a sacrificial canary model, not just pattern matching: untrusted input hits a powerless model first, a behavioral check reads the residue, and it returns block, flag, or pass before your primary model acts. Inbound preflight sensor, not a guarantee.

掌上 dsh — the standalone mobile surface for the dsh web GUI: scan-to-pair device trust, the /m/ phone UI, the /m/api RPC channel with realtime SSE mux bridge, and a polished desktop pairing panel. Extracted from dsh-remote-web-ui (M1, behavior-identical)