Introduction to uBlock Origin Lite: A Manifest V3 Content-Blocking Tool
By
Jiahang
Kettled twice. Extra chewy, extra trustworthy.
Summary
The article introduces uBlock Origin Lite (uBOL), a content-blocking tool built on the latest browser extension interface (Manifest Version 3). It highlights the tool's preset rule lists, which align with uBlock Origin's default filtering rules, and explains its declarative filtering approach, which relies on browser scheduling for CSS/JS injection. The article also provides instructions for enabling additional rule sets.
Key quotes
· 3 pulleduBOL 的过滤规则是完全声明式的，并不需要固定保留一个 uBOL 扩展进程，基于 CSS/JS 注入的内容过滤更是交由浏览器进行调度，比起扩展本身更为可靠。
访问选项页面，点击弹出面板中的 _齿轮_ 图标，即可启用更多规则集。
该扩展预设的规则列表对应 uBlock Origin 的预设过滤规则列表。
You might also wanna read
Four practical steps to control Azure Foundry token costs for agentic AI workloads
This article provides practical guidance on controlling token costs in Microsoft Azure Foundry, particularly for agentic AI workloads where
purplefrogsystems.com·44m ago
MerLean-Prover: A Recursive Agent Harness for Lean 4 Theorem Proving Outperforms Baselines
MerLean-Prover is an end-to-end Lean4 theorem prover that replaces 'sorry' declarations with kernel-checkable proofs using three agent types
arxiv.org·51m ago
Why small pull request policies can backfire on software quality
The article critiques a common software engineering policy that limits pull requests (PRs) to small sizes (e.g., 500 lines, few files). Whil
apenwarr.ca·2h ago
How Anthropic contains Claude's expanding access across its products
Anthropic describes how it has evolved its approach to granting Claude, its AI assistant, increasingly broad access to internal systems over
anthropic.com·4h ago
Testing Cursor's Jira integration: How ticket quality affects AI agent performance
Cursor launched a Jira integration that lets developers assign tickets directly to an AI agent, eliminating context switching. The author te
bit.ly·4h ago
Netflix engineer's open-source tool cuts AI token usage by up to 90%
Netflix senior engineer Tejas Chopra created software called "Project Headroom" that prunes redundant tokens from AI agent instructions befo
theregister.com·5h ago