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 ythx-101 · Agent Tool · ★ 160
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is grok-bridge safe to install? View the security audit →
🌉 grok-bridge v3.1.1 Turn SuperGrok into a REST API + CLI tool. No API key needed. is the publishable release candidate that supersedes the release-candidate attempt. It keeps the stable v3 loopback/dedicated-tab boundary and highlights the grok.com Chinese UI submit-button fix. How it works Two modes: REST API (recommended) Use when another tool or agent needs structured setup diagnostics. Deployment boundary Stable local deployment listens on . This is intentional: the bridge drives the signed-in Safari session on the Mac, so it should not be exposed directly on LAN, Tailscale, or a public interface. Remote Claw/agent access should use an operator-controlled tunnel or proxy: b
| Stars | 160 |
| Forks | 25 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 68.3542196119926/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-08 |
| Created | 2026-03-06 |
| Platforms | browser, python |
| Est. Tokens | ~6k |
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grok-bridge is 🌉 Turn SuperGrok into a REST API — Safari browser automation bridge for AI agents. It is categorized as a Agent Tool with 160 GitHub stars.
grok-bridge is primarily written in Python.
You can find installation instructions and usage details in the grok-bridge GitHub repository at github.com/ythx-101/grok-bridge. The project has 160 stars and 25 forks, indicating an active community.
grok-bridge is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to grok-bridge on Agent Skills Hub include claude-plugins, tutor-skills, repren. 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: