Tampermonkey

LinkSwift is an open-source JavaScript userscript for obtaining direct download links from Chinese cloud-drive services. It modifies the original Netdisk Direct Link Download Assistant and supports services including Baidu Netdisk, Aliyun Drive, China Mobile Cloud Drive, Tianyi Cloud Drive, Xunlei Cloud Drive, Quark Drive, UC Drive, Guangya Cloud Drive, and 123 Cloud. The script adds a simplified interface and can copy links or send downloads to tools such as IDM, Aria2, cURL, AB Download Manager, and BitComet. It obtains links through the cloud providers' public APIs and states that it does not bypass their speed limits or otherwise crack their restrictions.

SearchJumper is an open-source browser extension and userscript for switching among configurable search engines and searching selected text, images, links, videos, audio, pages, and other targets from context menus, shortcuts, drag actions, or an on-page toolbar. It supports site-specific search, batch-opening engines, background or incognito tabs, custom CSS, regular-expression rules, text highlighting, configuration export and sharing, custom GET and POST requests, in-page form submission, and optional WebDAV synchronization of engine configurations and highlighting rules. Search engines are defined with templates that can substitute keywords, URLs, hosts, target images, regular-expression transformations, POST bodies, input prompts, queried page elements, or batches of saved sites. The project is built with React and Material-UI, and its settings are stored in the browser or userscript manager; suggestions and optional synchronization can send data to external services according to the configured providers.

QuickJS is a JavaScript engine developed by Fabrice Bellard. In the cited context, scriptc uses it to provide dynamic-mode execution for npm dependencies. Its main documentation is provided in HTML and PDF form in the project repository.

Fast Browser Use is a local-first browser automation engine and agent skill for Claude Code, Codex, Cursor, and Python workflows. It runs Qwen3.5 models locally through MLX or PyTorch on Apple Silicon, CUDA GPUs, or CPUs, without cloud inference. The engine scans the rendered page for visible, interactable controls and converts them into bounded action candidates such as click, select, type, and done. It maps those candidates to single vocabulary tokens, scores them with one forward pass, and dispatches the selected browser action instead of generating CSS selectors, XPath expressions, or Playwright code. Text generation is used specifically for typing into fields, while structural actions use discrete logits scoring. The runtime also includes page-settling waits, visibility and occlusion checks, DOM-freshness checks, read-only protection, immutable execution traces, and external URL, title, and text assertions for outcome verification. The project provides a command-line interface, a Python API, and installable agent-skill integration, using Playwright Chromium for browser execution. It supports offline model operation after local weights are downloaded and is released under the MIT License.