Web-access is an agent skill that equips AI assistants with complete web connectivity capabilities through three-layer channel scheduling, browser Chrome DevTools Protocol integration, and parallel divide-and-conquer execution.
The tool addresses the limitation that AI agents typically lack sophisticated scheduling strategies and browser automation when accessing the web. Web-access adds a networking strategy layer, CDP-based browser control, and accumulated site-specific experience. It works by automatically selecting among multiple access methods—WebSearch, WebFetch, curl, Jina, or CDP—based on the task at hand. The CDP proxy feature allows direct connection to the user's everyday browser, preserving login state and enabling interaction with dynamic pages, form submission, and video frame capture. The tool supports three click methods: JavaScript click, real mouse events via CDP, and file uploads. Local browser bookmark and history search can find pages not indexed by public search engines or previously visited by the user. For multi-target scenarios, the tool distributes work to parallel sub-agents while maintaining tab-level isolation through a shared proxy. Site-specific knowledge accumulates by domain, storing URL patterns, platform characteristics, and known obstacles for reuse across sessions.
Developers should adopt this tool if they need AI agents to interact with authenticated systems, dynamic web content, or internal pages not accessible to standard search. It suits projects where the agent must navigate complex websites, submit forms, extract media, or access user-specific information. The tool is compatible with any agent supporting the SKILL.md format, including Claude Code, Cursor, Gemini CLI, and Codex CLI.
Development shows attention to edge cases and protocol correctness. Recent updates fixed race conditions in new tab creation by ensuring CDP attachment completes before navigation. The project distinguishes between successful navigation and actual content readiness, continuing to observe pages through verification flows, login redirects, and asynchronous rendering until target content appears or blockage is confirmed. URL safety was improved by moving from query parameters to POST body transmission, preventing ampersands in URLs from being incorrectly split.
