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 opentabs-dev · MCP Server · ★ 951
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is opentabs safe to install? View the security audit →
Docs · Plugins · Discord Your AI calls real web APIs through your browser session — no screenshots, no DOM scraping. AI sending a Discord message and adding reactions — real API calls, not browser automation How It Works Install the CLI and load the Chrome extension Connect — the extension bridges your browser to a local server Use — your AI calls web APIs through your authenticated session No
| Stars | 951 |
| Forks | 93 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.7565369416699/100 |
| Open Issues | 7 |
| Last Updated | 2026-09-14 |
| Created | 2026-02-09 |
| Platforms | browser, claude-code, cli, mcp, node |
| Est. Tokens | ~15k |
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opentabs is Browser automation clicks buttons. OpenTabs calls APIs.. It is categorized as a MCP Server with 951 GitHub stars.
opentabs is primarily written in TypeScript. It covers topics such as ai-agents, browser-automation, chrome.
You can find installation instructions and usage details in the opentabs GitHub repository at github.com/opentabs-dev/opentabs. The project has 951 stars and 93 forks, indicating an active community.
opentabs is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to opentabs on Agent Skills Hub include Uni-CLI, memorix, daymon. 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: