Robin: AI-Powered Dark Web OSINT
Dark web OSINT over Tor: search onion engines, scrape pages, report with your own model.
作者提供的说明(英文原文)
Scan a deployed site for an exposed Supabase service_role key and audit Row Level Security.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"airlock-rls": {
"command": "npx",
"args": [
"-y",
"airlock-rls-mcp"
]
}
}
}在终端中运行这条命令
claude mcp add airlock-rls -- npx -y airlock-rls-mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"airlock-rls": {
"command": "npx",
"args": [
"-y",
"airlock-rls-mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"airlock-rls": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"airlock-rls-mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月10日
注册名称已通过 GitHub 账户 mateuszingano 验证,该账户拥有此仓库
代码最后更新于前天
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 2 项适用的基础检查中通过了 2 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于前天,最新版本(0.1.1)于27天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Robin: AI-Powered Dark Web OSINT, HOL Guard, UniFi Network MCP
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Dark web OSINT over Tor: search onion engines, scrape pages, report with your own model.
Local-first AI agent security evidence and approval workflows through HOL Guard's stdio MCP server.
Manage UniFi Network devices, clients, firewall, VLANs, VPNs, and more via MCP.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Let Cursor, Claude Code, or any MCP client check a Supabase app for leaks while it builds it. It catches the most common vibe-coding footgun: a
service_rolekey shipped to the browser, and Row Level Security that's off or wide open.
The engine is Airlock RLS (npm i airlock-rls), the CI gate for Supabase RLS. This package is a thin MCP wrapper around it.
`scan_site_for_exposed_key` — give it a deployed URL. It reads the page and its JS bundles for an exposed Supabase service_role key (a service_role JWT or an sb_secret_... key). No database, no credentials, just the public URL. A hit means anyone who reads it bypasses every RLS policy. It never prints the full key.
`audit_supabase_rls` — give it a Postgres connection string. It fails on RLS-off tables, permissive (always-true) policies, and anon/authenticated tenant leaks. It reads only catalog metadata (pg_tables, pg_policies, grants), never your row data, so a read-only role is enough. Returns a human-readable summary.
`get_findings` — same audit as audit_supabase_rls, but returns machine-readable structured JSON: findings grouped by severity, severity counts, table count, allowed (waived) findings, and stats. Built for agents that need to iterate over findings, generate fixes, or build reports programmatically.
`explain_finding` — pure lookup, no database needed. Give it a finding kind string (e.g. rls_disabled, permissive_true, cross_tenant_read_leak) and it returns: what it means, why it's dangerous, how to fix it with example SQL, and related finding kinds. Use after get_findings or audit_supabase_rls to understand a finding before fixing it.
`generate_fix` — pure function, no database needed. Give it a finding kind, a table_name, and optionally a policy_name, and it returns the exact SQL to fix that specific finding, ready to paste into a migration file.
These tools talk to the Airlock Monitor REST API. Get an API key from the Monitor dashboard.
`list_monitor_projects` — list the Supabase projects connected to your Monitor account.
`start_monitor_run` — start an RLS audit + DAST run on a connected project. Returns a run id to poll.
`get_monitor_run` — check the status of a run (queued → running → completed/failed).
`get_monitor_findings` — get the findings (leaks, warnings, suggested SQL fixes) from a completed run.
`get_monitor_attestation` — download the signed attestation (Ed25519 + SHA-256) for a completed run. Anyone can verify it at shipsealed.com/verify without an account.
{
"mcpServers": { "airlock": { "command": "npx", "args": ["-y", "airlock-rls-mcp"] } } }
That's the same block for Cursor (~/.cursor/mcp.json), Claude Desktop (claude_desktop_config.json) and other MCP clients. With Claude Code:
claude mcp add airlock -- npx -y airlock-rls-mcp
Then ask the agent things like *"scan https://myapp.com for an exposed Supabase key"*, *"audit the RLS on this database"*, *"explain the rls_disabled finding"*, *"generate the fix for permissive_true on my profiles table"*, or *"run a Monitor check on my project and show the findings"* and it calls the tools.
Node.js 18 or newer.
npm install
npm run smoke # starts the server and checks all tools are advertised
Guides on Supabase RLS, a live cross-tenant demo, and the hosted Airlock Monitor (continuous checks of your live database): shipsealed.com
MIT © Mateus Zingano