What problem does it solve? Standard browser automation gets blocked by bot detection systems like Cloudflare and Datadome through TLS and canvas fingerprinting. This Skill guides agents through the three-layer CamoFox stack (camoufox engine, camofox-browser server, camofox-mcp bridge) to perform web scraping and automation that evades fingerprint-based detection. ## Core Features & Use Cases - Three-Layer Architecture Guidance: Explains how the camoufox C++ Firefox fork, the camofox-browser REST/CLI server, and the camofox-mcp agent bridge interlock for stealth automation. - CLI Automation Patterns: Provides shell-ready commands for opening tabs, capturing tabId values, taking accessibility snapshots, and interacting via [eN] element refs. - Structured Extraction & Auth Vault: Uses schema-based extractStructured calls instead of injected JavaScript, and injects credentials via the camofox auth vault without exposing passwords to the LLM. - Use Case: Scrape a Cloudflare-protected site by starting camofox-browser, opening the URL with the CLI, snapshotting the accessibility tree, clicking elements by ref, and extracting structured JSON data. ## Quick Start Use the camofox skill to open a Cloudflare-protected URL, snapshot the page, and extract the article title as structured JSON.