Hx0-HawkEye — security grade SAFE, quality 48/100

Security audit verdict: SAFE · quality 48/100

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 asaotomo · MCP Server · ★ 84

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is Hx0-HawkEye safe to install? View the security audit →

About Hx0-HawkEye

🦅 Hx0 鹰眼(Hx0 HawkEye):全栈式轻量抓包、拦截重放与 MCP / AI Agent 安全审计扩展 【English / 中文】 v1.0.6 重点更新 0902 维护更新: 完善主流模型兼容层,新增智谱 GLM、小米 MiMo、硅基流动预设与 Base URL 套餐端点自动识别,修复智谱/小米历史配置串号并补强请求错误回显;上下文窗口统一为 token 下拉/自定义,已知视觉模型自动开启图片输入;同时修复侧栏未打开时后台广播产生的 错误,并同步中英文用户手册。 0830 更新包: 在不降低抓包与拦截覆盖率的前提下,补强 Firefox 抓包监听初始化、请求头/请求体保留、智能 Web 编解码、Chrome/Firefox 可信输入及截图证据落盘;同步更新中英文用户手册、MCP/Agent 安装说明和主流 Browser MCP 对比。 鹰眼浏览器自动化

agentic-aiaiai-agentbrowser-automationbrowser-extensionchrome-extensiondark-linkfirefox-extensionfuzzingmcp-server

Quick Facts

Stars84
Forks7
CategoryMCP Server
Quality Score48.3277902041529/100
Last Updated2026-09-20
Created2026-03-23
Platformsbrowser, mcp
Est. Tokens~22k

Compatible Skills

These tools work well together with Hx0-HawkEye for enhanced workflows:

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Frequently Asked Questions

What is Hx0-HawkEye?

Hx0-HawkEye is 面向 Chrome/Firefox 的轻量级浏览器安全工作台:集成抓包、拦截改包、重放/Fuzz、敏感信息检测、HawkEye MCP 与浏览器级 Agent。(A lightweight Chrome/Firefox browser security workbench for capture, interception, replay/Fuzz, sensitive-data detectio. It is categorized as a MCP Server with 84 GitHub stars.

How do I install or use Hx0-HawkEye?

You can find installation instructions and usage details in the Hx0-HawkEye GitHub repository at github.com/asaotomo/Hx0-HawkEye. The project has 84 stars and 7 forks, indicating an active community.

What are the best alternatives to Hx0-HawkEye?

The top alternatives to Hx0-HawkEye on Agent Skills Hub include real-browser-mcp, mcp, camofox-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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