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 noemica-io · MCP Server · ★ 230
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is open-claude-in-chrome safe to install? View the security audit →
Open Claude in Chrome Official Claude in Chrome gives you 58 blocked domains and two browsers. Open Claude in Chrome gives you the whole web. Clean-room reimplementation of Anthropic's browser extension. No blocklist. Any Chromium browser. 100% feature & performance parity. by noemica What's different · Install · Architecture · Demo · How I built it Watch Claude navigate Tinder, Reddit, and Robinhood — sites the official extension can't reach. The official Claude in Chrome extension gives Claude Code full browser automation — as long as you stay within Anthropic's allowlist of "safe" sites. Open Claude in Chrome is a clean-room reimplementation that strips the restrictions while keep
| Stars | 230 |
| Forks | 66 |
| Language | HTML |
| Category | MCP Server |
| Quality Score | 70.7600023488541/100 |
| Open Issues | 6 |
| Last Updated | 2026-09-22 |
| Created | 2026-03-31 |
| Platforms | browser, claude-code, mcp |
| Est. Tokens | ~17k |
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open-claude-in-chrome is Claude in Chrome, reverse-engineered and open-source. No domain blocklist. Any Chromium browser. Same 18 MCP tools, same performance.. It is categorized as a MCP Server with 230 GitHub stars.
open-claude-in-chrome is primarily written in HTML. It covers topics such as ai-agent, anthropic, browser-automation.
You can find installation instructions and usage details in the open-claude-in-chrome GitHub repository at github.com/noemica-io/open-claude-in-chrome. The project has 230 stars and 66 forks, indicating an active community.
The top alternatives to open-claude-in-chrome on Agent Skills Hub include opentabs, claude-chromium-native-messaging, Perplexity-Comet-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: