Token导航 LogoToken导航TokenDH.com
效率敏感数据clawhub未标认证来源可访问clear审计提醒

lock-me-in把我锁在里面

Agent Skill

lock-me-in 用于处理浏览器自动化、网页检查和页面信息提取,适合在 OpenClaw 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

9,314

周安装

392

GitHub Stars

公开资料未说明

下载量

3,261
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:lock-me-in(把我锁在里面)
来源仓库:https://github.com/michaellod/lock-me-in
安装命令:
openclaw skills install lock-me-in
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install lock-me-in

简介

在无头服务器上启动交互式浏览器会话,实现远程登录与会话持久化。

  • 适合处理浏览器自动化、网页检查或前端流程验证任务。
  • 通过 cloudflared 隧道提供临时公共 URL 进行访问。
  • 使用前请确认是否允许建立外部隧道及浏览器实例运行。
  • lock-me-in 属于效率类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
lock-me-in
description
Remote browser login and session persistence for headless servers. Start an interactive browser session via a temporary public URL (cloudflared tunnel), let the user log in visually, then persist cookies/localStorage for future automated use. Use when: (1) a website requires login before the agent can interact with it, (2) the user says 'log me in' or 'I need to log in to X', (3) automated browsing needs saved credentials, (4) the agent needs to access authenticated pages (LinkedIn, job boards, dashboards). Requires: Playwright-compatible Chromium, cloudflared.

lock-me-in

Remote browser login via temporary public URL. The user logs in visually; cookies persist for future automation.

How It Works

  1. Agent launches headless Chromium with Playwright
  2. A web UI streams live screenshots of the browser
  3. Cloudflared creates a temporary public tunnel URL
  4. User opens the link, clicks/types to log in
  5. Session (cookies + localStorage) saved to disk
  6. Future Playwright sessions load the saved state

Quick Start

# Start a login session
node <skill-dir>/scripts/browser-login.mjs <url> <session-name>

# Examples
node <skill-dir>/scripts/browser-login.mjs https://linkedin.com/login linkedin
node <skill-dir>/scripts/browser-login.mjs https://github.com/login github
node <skill-dir>/scripts/browser-login.mjs https://mail.google.com gmail

Run in background with nohup, capture the tunnel URL from stdout:

nohup node <skill-dir>/scripts/browser-login.mjs <url> <name> > /tmp/lock-me-in.log 2>&1 &
# Wait for URL:
grep -m1 'LOGIN URL' /tmp/lock-me-in.log

Send the tunnel URL to the user via their messaging channel.

Loading Saved Sessions

To use a saved session in Playwright automation:

import { chromium } from 'playwright-core';

const browser = await chromium.launch({ executablePath: CHROME_PATH, headless: true, args: ['--no-sandbox'] });
const context = await browser.newContext({
  storageState: '/data/home/.browser-sessions/<session-name>/storage.json'
});
const page = await context.newPage();
await page.goto('https://linkedin.com/feed'); // Already logged in!

Session Storage

Sessions persist at /data/home/.browser-sessions/<name>/:

  • storage.json — Cookies + localStorage (Playwright format)
  • meta.json — Session metadata (last URL, timestamp, cookie count)

List saved sessions: ls /data/home/.browser-sessions/

Configuration

Environment variables:

  • LOCK_ME_IN_SESSIONS_DIR — Override sessions dir (default: /data/home/.browser-sessions)
  • LOCK_ME_IN_CHROME_PATH — Override Chrome path (auto-detected from Playwright)
  • LOCK_ME_IN_PORT — Override local proxy port (default: 18850)
  • OPENCLAW_PROXY_URL — HTTP proxy for browser traffic (auto-parsed for auth)

Script flags:

  • --port=N — Local proxy port
  • --timeout=N — Auto-close after N seconds (default: 900 = 15 min)

Requirements

  • Playwright-compatible Chromium (installed via npx playwright install chromium)
  • cloudflared binary for tunneling (install: curl -sL https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-amd64 -o /usr/local/bin/cloudflared && chmod +x /usr/local/bin/cloudflared)
  • Node.js 18+

Web UI Controls

  • Click on screenshot to click that position
  • Send types text into the focused element
  • Tab / Enter for keyboard navigation
  • ← Back browser back button
  • ↓ Scroll scroll down
  • Navigate go to a specific URL
  • 💾 Save persist session without closing
  • ✅ Done save and close everything

Security Notes

  • Tunnel URLs are random and short-lived (valid only while the process runs)
  • No authentication on the tunnel by default — share the URL only with the intended user
  • Sessions contain auth cookies — treat storage.json as sensitive
  • Auto-closes after 15 minutes by default to limit exposure

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

75.6%
按下载量换算2,465

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills