limbopro/profiles4limbo

毒奶自用,懒人配置文件(Quantumult X):去广告分流规则、Tiktok解锁重写、VSCO解锁、神机分流、blackmatrix7分流规则。

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Summary Information

Updated 11 minutes ago
Added to GitGenius on September 19th, 2026
Created on November 3rd, 2020
Open Issues & Pull Requests: 1 (+0)
GitHub issues: Enabled
Number of forks: 243
Total Stargazers: 3,515 (+0)
Total Subscribers: 67 (+0)

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Issue Activity (beta)

Open issues: 1
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 637 days
Stale 30+ days: 1
Stale 90+ days: 1

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Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

Profiles4limbo is a pre-configured profile collection for Quantumult X that provides ready-to-use filtering rules and rewrites for ad blocking and app unlocking.

The tool addresses the setup burden for Quantumult X users by bundling together filtering rules, rewrite rules for services like TikTok and VSCO, and ad-blocking configurations in a single package. It aggregates rules from multiple sources including blackmatrix7, NobyDa, and ConnersHua, combining them into a lazy-setup configuration that users can import directly into Quantumult X. The profile includes ten default policy groups that become visible in the main interface after configuration.

This tool suits users who want to quickly configure Quantumult X without manually assembling rules from multiple repositories. It works best for those comfortable with Chinese documentation and willing to follow the setup steps outlined in the README. The project also provides a Surge variant for users who prefer that platform and want to avoid subscription conversion APIs. Support is available through Telegram channels and direct contact, with an FAQ section addressing known issues and advanced usage methods.

Development activity shows consistent maintenance with active community engagement channels. The maintainer actively solicits feedback through multiple Telegram groups and social media platforms, indicating responsiveness to user issues. Documentation is detailed with specific troubleshooting steps and known problems listed to prevent duplicate questions. The project acknowledges and credits upstream rule sources, suggesting collaborative awareness within the filtering rules ecosystem.