Token导航 LogoToken导航TokenDH.com
研究检索敏感数据clawhub未标认证来源可访问clear审计提醒

gbrowgbrow 搜索

Agent Skill

gbrow 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

3,120

周安装

125

GitHub Stars

公开资料未说明

下载量

1,010
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:gbrow(gbrow 搜索)
来源仓库:https://github.com/ashish797/gbrow
安装命令:
openclaw skills install gbrow
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 gbrow

简介

gbrow 为 OpenClaw 提供全功能无头浏览器,支持导航与 JS 执行。

  • 适用于网页快照抓取、前端流程验证或动态内容提取。
  • 通过 clawhub 安装,内置可访问性树支持精准元素交互。
  • 需确认目标网站允许自动化访问,避免触发反爬机制。
  • 建议限制并发数量以防资源耗尽或 IP 被封禁。gbrow 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
Gbrow
description
Full-featured headless browser for OpenClaw agents. Navigate, snapshot with accessibility tree (@ref clicks), tabs, JS execution, cookie import. No vision model needed — free, fast, reliable.
tools

Gbrow — The Browser Your AI Agent Actually Needs

A full-featured headless browser powered by Playwright and Bun. Uses the accessibility tree for page reading — not expensive vision models.

Why Gbrow?

Traditional (screenshots + vision)Gbrow (accessibility tree)
Screenshot → upload to GPT-4o → wait → readariaSnapshot() → instant structured text
~$0.01 per page readFree
3-10 seconds per page< 100ms
Fails on API key issuesAlways works
Click by fragile CSS selectorClick by @ref (@e1, @e2, etc.)

Quick Setup

# Clone and install
git clone https://github.com/ashish797/Gbrow.git ~/.openclaw/workspace/skills/Gbrow
cd ~/.openclaw/workspace/skills/Gbrow
bash setup.sh

Or one-liner:

curl -fsSL https://raw.githubusercontent.com/ashish797/Gbrow/main/setup.sh | bash

How It Works

1. Start the server

cd ~/.openclaw/workspace/skills/Gbrow
bun run src/server.ts

2. Read the page (accessibility tree)

The snapshot gives you a structured view with clickable refs:

@e1 [heading] "Welcome" [level=1]
@e2 [link] "Get Started"
@e3 [button] "Sign in"
@e4 [textbox] "Search"

3. Click by ref

click @e2     → clicks "Get Started"
fill @e4 "query"  → types into search box

Commands

Navigation

CommandDescriptionExample
goto <url>Navigate to URLgoto https://example.com
backHistory backback
forwardHistory forwardforward
reloadReload pagereload
urlPrint current URLurl

Reading

CommandDescriptionExample
snapshotAccessibility tree with @refssnapshot -i (interactive only)
textCleaned page texttext
html [selector]Raw HTMLhtml .article
linksAll links as "text → href"links
formsForm fields as JSONforms

Interaction

CommandDescriptionExample
click <ref>Click elementclick @e3
fill <ref> <text>Fill inputfill @e4 "hello"
select <ref> <value>Select dropdownselect @e5 "option1"
type <ref> <text>Type with keyboardtype @e4 "search term"
press <key>Press keypress Enter
scroll <direction>Scroll pagescroll down

Inspection

CommandDescriptionExample
js <expr>Run JavaScriptjs document.title
css <sel> <prop>Computed CSScss .box color
attrs <ref>Element attributesattrs @e1
is <prop> <ref>State checkis visible @e3

Tabs

CommandDescription
tabsList open tabs
tab NSwitch to tab N
newtabOpen new tab
closetabClose current tab

Visual

CommandDescription
screenshotTake screenshot
responsive <w> <h>Set viewport size
pdfSave page as PDF

Snapshot Flags

FlagDescription
-iInteractive elements only (buttons, links, inputs)
-cCompact (remove empty structural nodes)
-d NLimit tree depth
-s <sel>Scope to CSS selector
-DDiff against previous snapshot
-aAnnotated screenshot with ref overlays

HTTP API

All commands go through the HTTP API:

# Get port and token from state file
PORT=$(python3 -c "import json; print(json.load(open('.gstack/browse.json'))['port'])")
TOKEN=$(python3 -c "import json; print(json.load(open('.gstack/browse.json'))['token'])")

# Send command
curl -s -X POST "http://127.0.0.1:${PORT}/command" \
  -H "Authorization: Bearer ${TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{"command":"goto","args":["https://example.com"]}'

Architecture

┌─────────────┐     HTTP      ┌──────────────────┐
│  OpenClaw   │ ──────────▶  │  Gbrow Server    │
│  Agent      │              │  (Bun + Playwright)│
└─────────────┘              └────────┬─────────┘
                                      │
                                      ▼
                              ┌──────────────────┐
                              │  Chromium         │
                              │  (headless)       │
                              └──────────────────┘
                                      │
                                      ▼
                              ┌──────────────────┐
                              │ Accessibility     │
                              │ Tree (ariaSnapshot)│
                              └──────────────────┘

No vision models. No API calls. Just structured text from the browser's accessibility layer.

Credits

Built on top of gstack by Gary Tan (Y Combinator). Adapted for OpenClaw with permission under MIT license.

License

MIT

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

89%
按下载量换算899

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

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