This repository is a Hugo-based starter template for building an academic CV website, part of the HugoBlox ecosystem. It provides pre-configured project structure, sample content (blog posts, publications, projects, courses, events, slides), and CI/CD workflows for deployment to GitHub Pages or Netlify. The codebase is primarily configuration (Hugo, YAML, Go modules, npm packages) and Markdown content, with minimal custom layout code (a single partial for a GitHub button). Its primary value is as a boilerplate for researchers and academics to quickly spin up a personal portfolio site. While it contains no complex application logic, it demonstrates solid engineering practices through well-structured configuration, modern build tooling (Tailwind CSS v4, Pagefind search), and reusable CI/CD patterns.
This repository is a Python client SDK for the OGX AI inference API, which is OpenAI-compatible. It provides both synchronous (`OgxClient`) and asynchronous (`AsyncOgxClient`) clients with typed resources for chat completions, embeddings, vector stores, models, prompts, responses, batches, files, and more. The SDK is auto-generated by Stainless from an OpenAPI spec, ensuring the API surface stays aligned with the backend. It includes a CLI tool (`ogx-client`) for interacting with the OGX server, and a higher-level agent library (`lib/agents/`) for building conversational agents with tool use, turn/step event models, and ReAct-style reasoning. The architecture follows a resource pattern: each API endpoint group (e.g., `chat/completions`, `vector_stores`) is a class inheriting from `SyncAPIResource`/`AsyncAPIResource`, registered as properties on the client. The base client handles HTTP transport via `httpx`, retries with exponential backoff, streaming via SSE, cursor-based pagination, and error classification. The agent library wraps the Responses API, manages conversation state, and synthesizes structured events from raw stream data. The CLI uses `click` for command groups covering models, vector stores, eval, datasets, providers, and inference. Key data flows: users instantiate a client, call resource methods (e.g., `client.chat.completions.create()`), which serialize parameters via Pydantic models, send HTTP requests, and parse responses. Streaming responses are handled by `Stream`/`AsyncStream` classes that decode SSE events. The agent library consumes stream events and emits turn/step lifecycle events for UI or logging. External dependencies are minimal: `httpx`, `pydantic`, `typing-extensions`, and optional `aiohttp` for async transport. The codebase is well-structured but heavily generated; the custom agent code is the most reusable and demonstrates non-obvious skill in event synthesis and tool orchestration.
This repository is a Chinese-language web security handbook, organized as a modular knowledge base rather than a deployable software product. It contains three knowledge layers: `vul/` (vulnerability principles), `exp/` (exploitation playbooks with raw payloads, bypasses, and version-specific CVE chains), and `penetration/` (pentest methodology from recon to post-exploitation). The content is intentionally machine-consumable: `AI-MAP.json` provides a topic→document index with aliases and keywords, `AI-WIKI.md` and `AGENTS.md` instruct AI coding agents on how to retrieve and maintain the material, and `README.md` serves as the human quick-reference matrix. The primary operational use is as a field manual for penetration testers, red teamers, and CTF players: it includes byte-exact request smuggling payloads, SSTI engine fingerprinting tables, Java/PHP/.NET deserialization gadget chains, SQL injection dialect differences, WAF bypass catalogs, and Active Directory/Kerberos attack notes. Although defensive topics such as authentication logic and crypto misuse are covered, the dominant voice is offensive. The code footprint is small: `scripts/check-consistency.py` validates the index and links in CI, and `penetration/logtamper.py` is a legacy Python 2 log-clearing utility. As a knowledge asset, the repo is well-crafted: documents follow a consistent template, cross-link extensively, and are backed by a consistency checker and GitHub Actions workflow. However, it is not a software library or service: there is no API, no package, and no runtime to deploy. Version-sensitive exploit content and some aging tool references should be validated before use. Offensive material is intended only for authorized security testing.
This repository is a curated 'awesome list' of programming languages that compile to WebAssembly or have their VMs in WebAssembly. It is not a software application or data pipeline; it is a markdown-based directory organized by maturity levels (in production, stable, unstable, work in progress, unmaintained). The README.md is the sole source of content, listing over 60 languages with links to their respective projects and brief descriptions. The repository includes standard community files (CODE_OF_CONDUCT.md, CONTRIBUTING.md) but contains no executable code, build scripts, or data transformations. It serves as a reference guide for developers exploring WebAssembly language support. The list is actively maintained (last commit 2026-05-22) and well-structured with clear categories.
This repository provides a Claude Code skill for literate programming, along with supporting CLI tools. The skill (SKILL.md) defines a slash command that transforms a codebase into a `.lit.md` file – a single Markdown document that weaves prose, diagrams, and named code chunks together. The actual tools are three TypeScript scripts: `tangle.ts` extracts source files from a `.lit.md`, `untangle.ts` reverse-syncs edits back into the `.lit.md`, and `hook-reverse-sync.ts` is a Claude Code PostToolUse hook for automatic reverse-sync. The architecture is simple: standalone scripts with no external dependencies beyond Bun's runtime. The tangler parses fenced code blocks with `{chunk="name" file="path"}` attributes, builds a dictionary of chunks (supporting additive chunks), and recursively expands `<<reference>>` with cycle detection and indent preservation. The untangler uses a `.lit.map.json` source map to splice edited lines back into the original `.lit.md`, then re-tangles. The code is clean, well-documented, and demonstrates good engineering practices for a small tool. It is not a data research project nor a typical application – it is a developer tool for literate programming workflows.
testssl.sh is a mature, command-line Bash tool for comprehensive TLS/SSL security auditing of network services. It tests cipher support, protocol versions (SSLv2 through TLS 1.3), cryptographic vulnerabilities (Heartbleed, CCS, ROBOT, BEAST, POODLE, LOGJAM, FREAK, and many others), certificate validation, HTTP security headers, and STARTTLS on a wide range of protocols. The tool works by performing socket-level TLS handshakes and comparing results against embedded data files. It also includes a client simulation feature that replays ClientHellos from over 100 real-world browsers and libraries to detect server behavior differences. The architecture is a single large Bash script (testssl.sh) with supporting data files under etc/ and utility scripts in utils/. It is driven by command-line options and environment variables, producing output in terminal color, JSON, CSV, HTML, and log formats. The project has active maintenance with a thorough test suite and CI pipelines, though some data sources (e.g., SSL Labs API) are deprecated, and the client simulation data requires manual updates.
This repository is a comprehensive family of GUI automation agents (Mobile-Agent series) developed by Tongyi Lab, Alibaba Group. It provides end-to-end solutions for automating interactions across mobile (Android), desktop (Windows/macOS/Linux), and web platforms using vision-language models. The system perceives GUI elements through screenshots, grounds natural language instructions to actionable commands (click, type, scroll), and executes tasks via platform-specific controllers. The architecture includes multiple agent versions (v1-v3.5, E, UI-S1, PC-Agent) with shared core modules for perception, action parsing, and controller interfaces, alongside training frameworks (VERL) and evaluation suites (Android World, MiniWoB, Mind2Web). Key entry points are version-specific run scripts (e.g., run_ma35.py) and API services for remote agent control. The system relies on external dependencies like ADB for Android, PyAutoGUI for desktop, Playwright for web, and VLMs (Qwen series) for reasoning.
WeRoBot is a Python library for building WeChat Official Account (公众号) robots. It provides a high-level framework that handles message parsing, event routing, signature verification, session management (with multiple backends like SQLite, Redis, MongoDB), message encryption/decryption (AES), and a full client for the WeChat Corporate API (menu management, user management, template messages, mass messaging, etc.). The library can run as a standalone WSGI application (via Bottle) or be integrated into Django, Flask, Bottle, and Tornado. The core robot class (WeRoBot) allows developers to register handlers via decorators for specific message types (text, image, location) and events (subscribe, click, scan). It is a mature, well-documented project with comprehensive test coverage and CI/CD. The codebase is generally well-structured but shows signs of technical drift in dependency versions and Python version support (officially tested up to Python 3.9, some pinned libraries are outdated).
ttab is a single-file Bash CLI that programmatically opens new terminal tabs and windows on macOS (Terminal.app and iTerm2) and Linux (gnome-terminal). It supports running startup commands in the new tab, setting working directory, title, and profile, creating iTerm2 horizontal/vertical splits (-v/-h), creating tabs without stealing focus (-g/-G), delaying command submission (-l), and clearing the screen (-q). The entire application is bin/ttab: a ~700-line Bash script with zero runtime dependencies that parses options via getopts, detects the calling terminal through TERM_PROGRAM / GNOME_TERMINAL_SCREEN or an explicit -a flag, synthesizes backend-specific automation (AppleScript for Terminal.app and iTerm2, with distinct v2/v3 syntax paths, and a CLI argument string for gnome-terminal), and executes it via 'exec osascript' on macOS or eval on Linux. It embeds its full Markdown man page as a here-doc extracted by sed, so --help, --man, and --man-source all work from the single distributed file.
This is a collection of 12 lessons on effective AI-assisted software development, derived from real-world experience with tools like Cursor, Windsurf, Cline, and Claude. It is not a software application or data research project—it is pure documentation. The lessons cover project structure, planning, problem decomposition, test writing, commit discipline, and prompt engineering. The content is clear, concise, and immediately applicable. No code or data pipelines are present; the value lies in the reusable practices and mental models it teaches.
PeerJS Server is a Node.js application that facilitates WebRTC peer-to-peer connections by handling signaling between clients. It does not proxy media data but exchanges metadata (offers, answers, ICE candidates) via WebSocket connections. The server provides an HTTP API for obtaining client IDs and discovering peers (when enabled), manages client state and message queues for offline clients, and includes services to monitor connection health and expire stale messages. Built with Express.js and the 'ws' library, it features a modular architecture separating API routing, message handling, core logic (realm/model management), and background services (connection checking, message expiration). The CLI entry point allows running as a standalone server, while the programmatic API enables integration into existing Node.js applications.
pointfreeco/swift-web is a collection of modular Swift libraries for building server-side web applications. It provides a functional approach to routing (ApplicativeRouter using partial isomorphisms and applicative combinators), a type-safe CSS DSL (Css module), an HTTP pipeline middleware system with phantom types for state safety (HttpPipeline), URL form encoding/decoding, HTML rendering integration, and signed cookie support. The architecture is highly modular: each library can be used independently. The codebase demonstrates advanced functional programming patterns from the Point-Free ecosystem, including applicative functors, optics, and monoids. It relies on Apple's SwiftNIO for server I/O and supports both macOS and Linux via Docker. The project is experimental but well-tested with snapshot testing. It is best suited for Swift developers seeking a functional, composable web framework foundation.
The repository serves as the official website and resource hub for the Noi desktop application. It contains the documentation site built with Docusaurus and Tailwind CSS, localization files for the application's UI, a prompt library for AI-assisted workflows, and example configuration files. While the core desktop application source is not present in this repository, the provided resources demonstrate good practices in internationalization, configuration-driven design, and prompt management. The documentation site is a well-crafted web application that effectively communicates the features and usage of the Noi desktop app.
This repository is a collection of documentation files describing various file formats (archive, container, encoding, image formats). It serves as a reference library for understanding binary file structures, headers, and specifications. The content is primarily educational/reference material rather than executable software. The repository appears to be actively maintained with recent commits and contains well-organized documentation covering formats like RAR, ZIP, MP4, JPEG, PNG, DICOM, and UTF-8 encoding.
GNvim is a GTK4-based Neovim GUI written in Rust. It communicates with Neovim via the MessagePack-RPC protocol, providing a native desktop experience with features like floating windows, popup menus, tabline, cmdline, and smooth animations for cursor and scrolling. The architecture is a single Rust binary split into a workspace: the main `ui` crate contains the GTK4 frontend with custom widgets (e.g., Grid, GridBuffer, Cursor, Fixedz, Popupmenu, Shell), and the `nvim-rs` library crate provides a reusable, async RPC client for Neovim with auto-generated API bindings. The system's entry point is `ui/src/main.rs`, which registers resources and launches the GTK application. Data flows bidirectionally: Neovim sends UI events (redraw, options, notifications) as RPC messages, which are deserialized into Rust types and applied to the GTK widget tree; user input (keyboard, mouse) is captured by GTK event controllers and sent back to Neovim as RPC calls. The codebase is well-structured, modular, and follows modern Rust async patterns, with extensive use of GTK4's property system and custom layout managers for complex UI composition.
This repository implements a web application that serves as a comprehensive cheat sheet for CSS easing functions. Built with TypeScript, Pug, and CSS, it provides interactive visualizations of various easing functions along with their CSS and JavaScript implementations. The application features internationalization support, PWA capabilities with service workers, and a responsive design. Key architectural concerns include modular separation of concerns between helpers, components, and core logic, with build optimization via Parcel-bundler.
Ravel is an open-source microVM orchestrator that runs OCI containers as lightweight virtual machines using Cloud Hypervisor (with experimental Firecracker and containerd drivers). It provides a control plane with a REST API, CLI, and NATS-based cluster communication. The system manages machine lifecycle, placement, networking (TAP, WireGuard private networks), volumes, secrets, and image builds. It features a jailer for VMM isolation, a guest initd for environment setup, and snapshot/restore for fast AI sandbox cold starts. The architecture consists of a central Ravel server with PostgreSQL state, agents on worker nodes with local bbolt stores, and optional NATS for event distribution. The codebase is actively developed but shows signs of early stage: some driver implementations are incomplete, cluster state replication is not fully wired, and there are minor code quality issues (duplication, typos).
This is a monorepo for an AI coding assistant called T1 Code (a fork of T3 Code). It provides a unified chat-based interface that integrates multiple AI providers (Codex, Claude, Cursor, OpenCode) via a server-side orchestration engine. The server uses Effect-TS for functional effects, SQLite for persistence, and WebSocket for real-time communication. Clients include a web app (React with TanStack Router), a terminal UI (Ink/React), and a desktop app (Electron). The system supports git operations, terminal integration, source control providers (GitHub, GitLab, Bitbucket, Azure DevOps), checkpointing/diff tracking, and text generation for commit messages, PRs, and branch names. The architecture follows an event-sourcing/CQRS pattern with a projection pipeline for read models. The codebase is well-structured with extensive test coverage and reusable Effect-based service layers, but relies on beta versions of Effect-TS and other libraries, which introduces some technical drift risk.
QuickFIX is a production-grade FIX (Financial Information eXchange) protocol engine written in C++ with SWIG-generated bindings for Python and Ruby. It implements FIX session management (initiator/acceptor), message parsing/serialization, sequence number handling, heartbeats, resend requests, and message persistence (file, MySQL, PostgreSQL, ODBC). The library supports FIX versions 4.0 through 5.0 SP2 and FIXT 1.1, with auto-generated message classes from XML specification files. Architecturally, it is a library/framework—applications subclass the `Application` interface and use `Session::sendToTarget` to send messages. The network layer uses select()/poll()-based event loops (SocketMonitor) or threaded connections (ThreadedSocketConnection), with optional SSL/TLS support via OpenSSL. The codebase is mature and widely used in the financial trading industry, with extensive acceptance test definitions for each FIX version and language-specific unit tests. While the core abstractions (FieldMap, Session, DataDictionary) are well-designed, the repository suffers from significant code duplication across FIX versions, heavy conditional compilation, and some outdated patterns (auto_ptr, old-style platform detection). The code generation pipeline (Ruby scripts in spec/) is a notable reusable asset.
This repository is a collection of 14 small to medium React projects, built as part of a popular Spanish YouTube course (midudev). Each project focuses on a specific React concept or real-world pattern: from basic component state and effects (Twitter follow card, tic-tac-toe, mouse follower) to advanced topics like custom hooks, fetching data, complex state management with useReducer and useContext, TypeScript integration, routing (including a custom router), Redux Toolkit, React Query, Zustand, and CSS-in-JS with vanilla-extract. The projects are self-contained, well-structured, and progressively build complexity, making this an excellent learning resource for intermediate React developers. The code quality is professional: modern React (18), functional components, hooks, TypeScript in later projects, and some tests (Playwright, Vitest). The custom router (midu-router) is published as an npm package and demonstrates non-trivial patterns like dynamic route matching with path-to-regexp, lazy loading, and i18n. Other reusable gems include a generic debounce hook, a Redux middleware for optimistic updates with rollback, and a Zustand store with persistence. While not a single production application, the repository serves as a practical textbook of React patterns. Developers can extract individual components or hooks into their own projects with minimal adaptation.