No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by greekr4 · Claude Skill · ★ 189
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is playwright-bot-bypass safe to install? View the security audit →
playwright-bot-bypass v2.0 Claude Code skill to bypass bot detection using with 8 stealth patches. Installation Features Pass bot.sannysoft.com all tests Google search without CAPTCHA Twitter/X scraping without login Real GPU fingerprint (Apple M2, NVIDIA, etc.) 8 fingerprint patches (webdriver, plugins, languages, permissions, canvas, etc.) Human-like behavior simulation (mouse movement, typing delays) Cookie persistence & proxy support Works with Node.js and Python A/B Test: bluer.co.kr (Real-World Bot Detection) Tested against Blue Ribbon Survey — a site with active bot protection: bot.sannysoft.com A/B Stealth Patches (8 vectors) P
| Stars | 189 |
| Forks | 13 |
| Language | JavaScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 73.7473227273859/100 |
| Last Updated | 2026-08-27 |
| Created | 2026-01-29 |
| Platforms | browser, claude-code, node |
| Est. Tokens | ~14k |
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playwright-bot-bypass is Claude Code skill to bypass bot detection (Google CAPTCHA, etc.). It is categorized as a Claude Skill with 189 GitHub stars.
playwright-bot-bypass is primarily written in JavaScript. It covers topics such as automation, bot-detection, claude-code-skill.
You can find installation instructions and usage details in the playwright-bot-bypass GitHub repository at github.com/greekr4/playwright-bot-bypass. The project has 189 stars and 13 forks, indicating an active community.
playwright-bot-bypass is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to playwright-bot-bypass on Agent Skills Hub include camofox-browser, camoufox-cli, neobrowser. 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: