This repository is a massive, curated collection of network proxy routing rules (εζ΅θ§ε) for multiple proxy tools including Surge, Loon, QuantumultX, Shadowrocket, Clash, Stash, and AdGuard. The rules are auto-generated by an internal 'RULE GENERATOR' from public data sources (e.g., LM-Firefly/Rules, ACL4SSR, kr328.app) and cover thousands of servicesβfrom streaming platforms and social media to banking and gaming. Each rule set is provided in multiple formats (`.list`, `.yaml`, `.sgmodule`, `.plugin`) and distributed via daily-updated master and irregular release branches with CDN mirrors. The repository also includes a smaller set of automation scripts (JavaScript) that run inside proxy clients, performing tasks such as ad removal, cookie harvesting, daily check-ins, and TestFlight beta joining. These scripts rely on a custom cross-platform framework called MagicJS, which abstracts the APIs of Surge, Loon, QuantumultX, and Node.js. While the primary character is data aggregation and transformation (rule generation), the presence of application-like automation scripts makes it a hybrid repository. The rule sets are the core deliverable and are widely used by the proxy tool community. The automation scripts are secondary but demonstrate non-trivial engineering for multi-account session management and persistent storage. The repository is actively maintained (last commit 2026-08-21, though some rule sets show stale timestamps from 2024) and has a large user base (27k stars). However, technical drift is medium due to reliance on external data sources, embedded library duplication, and lack of automated testing. Reproducibility is low because the rule generator is not publicly available, and the scripts require specific proxy tool environments and MITM setup.
This repository is a collection of automation scripts designed to interact with various consumer services. It includes scripts for automating coupon collection from Meituan food delivery, task completion and reward collection for SF Express loyalty programs, and step count modification for Xiaomi Sports fitness tracking. The scripts are designed to run in automation environments like QingLong and make HTTP requests to service APIs to perform automated actions. A notable component is the notify.py module, which provides a unified interface for sending notifications across multiple platforms (Bark, DingTalk, Feishu, etc.) and can be easily reused in other projects. The code is functional but consists largely of service-specific API interactions with limited abstraction, making most components tightly coupled to specific services.