Search: "secure"

Identifies error-prone APIs, dangerous configurations, and footgun designs that enable security mistakes. Use when reviewing API designs, configuration schemas, cryptographic library ergonomics, or evaluating whether code follows 'secure by default' and 'pit of success' principles. Triggers: footgun, misuse-resistant, secure defaults, API usability, dangerous configuration.

Guides through Trail of Bits' 5-step secure development workflow. Runs Slither scans, checks special features (upgradeability/ERC conformance/token integration), generates visual security diagrams, helps document security properties for fuzzing/verification, and reviews manual security areas. Use when securing a smart contract end to end rather than hunting one bug, checking a project on every check-in or before deployment, triaging a Slither report, or asking where to start on smart contract security.

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.

Ultra-high-performance, secure, all-in-one acceleration engine for developer resources

Baseline rules files to improve the security of AI-generated code (Claude, Cursor, Copilot + more)

A secure, stable Rust alternative to openclaw/moltbot/clawdbot

AI Shadow Vault: A local DX infrastructure for context-aware AI coding. It uses ZSH-automated symlinks to inject private context and rules from a secure vault into your workflow. Eliminate git pollution and privacy leaks while optimizing AI performance and costs. The elite setup for professional, private, and efficient AI-driven development.

A secure, multi-channel AI agent platform with deterministic policy enforcement below the LLM layer.