This repository is a comprehensive collection of proxy routing rule sets and configuration files for multiple proxy clients (Surge, Loon, Quantumult X, Stash, Shadowrocket, mihomo, sing-box, Egern). It provides pre-curated domain/IP lists for services (e.g., Netflix, Telegram, OpenAI), ad-blocking (e.g., Ads_AWAvenue, EasyListChina), and China network identification (e.g., ChinaASN with 5076 entries). The rules are duplicated across platforms with format adaptations, and the repository includes full client configuration templates and server deployment examples (e.g., sing-box Hysteria2, AnyTLS). A few Surge panel scripts (Peekabo, Aliyun ECS CDT, Lightsail) demonstrate self-contained HTTP API client patterns with HMAC signing and caching. While not a software application itself, the repository is a dependency for proxy clients and includes several reusable script components.
This repository is a Gatsby-based static web application that generates HTML snippets of technology icons for GitHub profile READMEs. It provides a user interface where users can search from a large collection of technology icons (extracted from a README table), select and reorder them via drag-and-drop (using @dnd-kit), configure output options (e.g., wrapping in <code>, <div>, table format, icon size), and produce a ready-to-copy HTML string. The application is single-page with no backend; it fetches icon metadata dynamically from the repo's own README.md on GitHub. The architecture is a typical React component tree with state management in the Generator class component, using Material-UI for design and CodeMirror for code display. The codebase is well-structured, dependencies are modern, and the deployment is automated via GitHub Actions to GitHub Pages. It solves a specific, common need for developers seeking an aesthetic way to showcase their tech stack.
The Flask-DebugToolbar is a Flask extension that provides a debug toolbar with various panels for debugging purposes. It includes features such as syntax highlighting, line numbers, and bracket matching.
MCPM (Model Context Protocol Manager) is a production-grade CLI tool for managing Model Context Protocol (MCP) servers. It provides a centralized server registry, global configuration, virtual profile system (tags), multi-client integration (Claude Desktop, Cursor, Windsurf, VSCode, Cline, Goose, and 10+ more), direct server execution via stdio/HTTP/SSE, secure public sharing via tunnels, and usage monitoring/analytics. The tool is designed for both interactive use and AI-agent automation (non-interactive mode with environment variables). The repository also contains a curated registry of 400+ MCP server definitions (JSON manifests) with metadata and installation instructions. While primarily a Python CLI application, the registry component adds a hybrid data/configuration dimension. The architecture follows a monolith command pattern with modular command implementations, client adapters using base class inheritance, and optional FastMCP proxy for server aggregation.
iKy (I Know You) is a modular OSINT (Open Source Intelligence) aggregation platform built with FastAPI, Celery, Redis, and an Angular frontend. The system ingests a username or email and concurrently executes 26+ parallel tasks across social media, data breaches, search engines, and dark web sources, returning a structured JSON contract (module, param, validation, raw, graphic, profile, timeline, tasks) consumed by a visual graph/timeline UI. Key architectural patterns include a dynamic module registry that maps route names to Celery task paths, a decorator-based task wrapper (@iky_task) that centralizes dev-mode golden-file bypass, error classification, and performance logging, and a pluggable search provider orchestration layer. The codebase demonstrates a strong separation of concerns between API routing, task execution, and data enrichment, but suffers from fragile scraping logic (LinkedIn RSC parsing, TikTok SSR regex), heavy reliance on browser session cookies, and several deprecated external APIs (Twitter v1.1, FullContact). The project is actively maintained with an extensive test suite (~4K lines) and Docker Compose deployment, though many tests are heavily mocked and may not detect real API drift.
This repository is the personal GitHub profile README for user milaan9. It contains a README.md with profile information, a collection of SVG and GIF images, and a simple Python script (build_readme.py) that automates updating the README with recent blog posts and 'Today I Learned' entries via a GitHub Actions workflow. The script is minimal and tightly coupled to the specific blog and TIL repositories. There are no application components, data pipelines, notebooks, or reusable code. The repository serves only as a profile page and has no engineering value for reuse or integration.