Securely prompt stdio using secure buffers
Secure Prompt Enforcement At Runtime - Defense-in-depth middleware for LLM security
A security-focused rehype plugin that filters URLs based on allowed prefixes
A security-focused wrapper for react-markdown that filters URLs based on allowed prefixes
JSON parse with prototype poisoning protection
Run a command using sudo, prompting the user with an OS dialog if necessary
Stylish, intuitive and user-friendly prompt system. Fast and lightweight enough for small projects, powerful and extensible enough for the most advanced use cases.
A tiny (130B to 205B) and fast utility to randomize unique IDs of fixed length
cross-platform masked or hidden prompt
A tiny (230B) and fast UUID (v4) generator for Node and the browser
Listr2 prompt adapter for inquirer.
simple persistent cookiejar system
A TypeScript framework for building MCP servers.
Run a command using sudo, prompting the user with an OS dialog if necessary
Provides functions for detecting if the host environment supports the WebCrypto API
Inquirer confirm prompt
Account management plugin for Hardhat
Core Inquirer prompt API
Autocomplete prompt for inquirer
Checkbox with autocomplete and other additions for Inquirer
A beautiful command-line prompt for node.js
Jest plugin for filtering by filename or test name
Secure, zero-dependency utilities for generating passwords, passphrases, pins, and more
Polyfill for Alert.prompt on Android
An open-source, security-first AI agent framework in Ruby with capability-based permissions, sandboxed skills, and a layered prompt system.
Like "yes | ai" - wraps command-line tools via PTY, auto-answers interactive prompts with AI-powered blacklist security
A Ruby gem implementing the Model Context Protocol (MCP) server-side specification. Provides a framework for creating MCP servers that expose tools, resources, prompts, and roots to LLM clients with comprehensive security features, structured logging, and production-ready capabilities.
Security pipelines for LLM applications using ONNX models from Hugging Face Hub. Detect prompt injections, jailbreaks, and PII leaks. Models are lazily downloaded and cached locally. Fast local inference (~10-20ms after initial load).
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