by KenKaneki18 · Agent Tool · ★ 204
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
CloakBrowser: Anti-detect browser download, browser fingerprinting spoofing, multi-accounting tool, Canvas WebGL modification. Proxy manager HTTP SOCKS5, cookie isolation, session import export, user-agent switcher. Puppeteer Playwright automation API, profile sharing, web scraping, free.
| Stars | 204 |
| Forks | 0 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 53.2432323980992/100 |
| Last Updated | 2026-05-16 |
| Created | 2026-05-16 |
| Platforms | browser, docker, node |
| Est. Tokens | ~1k |
These tools work well together with CloakBrowser for enhanced workflows:
Looking for a CloakBrowser alternative? If you're comparing CloakBrowser with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
CloakBrowser Github: anti-detect browser download, source-level chromium patches, browser fingerprinting spoof
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⚡ CloakBrowser MCP server for AI agents: Playwright-powered browsing, clean tool forwarding, Docker support, a
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CloakBrowser is CloakBrowser: Anti-detect browser download, browser fingerprinting spoofing, multi-accounting tool, Canvas WebGL modification. Proxy manager HTTP SOCKS5, cookie isolation, session import export, user-. It is categorized as a Agent Tool with 204 GitHub stars.
CloakBrowser is primarily written in TypeScript. It covers topics such as anti-detect-browser, antidetect-browser, browser-fingerprinting.
You can find installation instructions and usage details in the CloakBrowser GitHub repository at github.com/KenKaneki18/CloakBrowser. The project has 204 stars and 0 forks, indicating an active community.
CloakBrowser is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to CloakBrowser on Agent Skills Hub include CloakBrowser, dsh-antibrow, cloakbrowser-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: