Flagged: sudo usage, reads sensitive env vars. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by billy-enrizky · Agent Tool · ★ 244
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is openbrowser-ai safe to install? View the security audit →
OpenBrowser AI browser automation, powered by code. Cloud dashboard for saved cookies and scheduled tasks is available in the hosted version. Join the waitlist for early access: https://openbrowser.me : https://github.com/user-attachments/assets/b17f97f3-f9f8-4707-8e39-abbbbe1a693b Automating Walmart Product Scraping: https://github.com/user-attachments/assets/c517c739-9199-47b0-bac7-c2c642a21094 OpenBrowserAI Automatic Flight Booking: https://github.com/user-attachments/assets/632128f6-3d09-497f-9e7d-e29b9cb65e0f OpenBrowserAI Automatic Form Filling: https://github.com/user-attachments/assets/16f7ef1a-beb1-45e2-a733-9592536e0ef7 [ is a searchable collection of pre-built AI skills, agents, MCP serve
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openbrowser-ai is OpenBrowser is a framework for intelligent browser automation. It combines direct CDP communication with a CodeAgent architecture, where the LLM writes Python code executed in a persistent namespace, . It is categorized as a Agent Tool with 244 GitHub stars.
openbrowser-ai is primarily written in Python. It covers topics such as agent-skills, ai, ai-agents.
You can find installation instructions and usage details in the openbrowser-ai GitHub repository at github.com/billy-enrizky/openbrowser-ai. The project has 244 stars and 21 forks, indicating an active community.
openbrowser-ai is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to openbrowser-ai on Agent Skills Hub include ai-maestro, claude-code-skills, awesome-claude-skills. 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: