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Agent Skill · 研究检索

browser-automation-pin(浏览器自动化引脚)

browser-automation-pin 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。

browser-automation-pin 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为操作浏览器;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 12,530。

总安装 10,176周安装 424GitHub Stars 公开资料未说明下载 3,392核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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:browser-automation-pin(浏览器自动化引脚)
来源仓库:https://github.com/huamu668/browser-automation-pin
安装命令:
openclaw skills install browser-automation-pin
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 browser-automation-pin

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

browser-automation-pin 基于 PinchTab 技术实现轻量级浏览器控制能力。适用于文本高效提取与简单页面交互的低开销场景。相比传统方案显著减少 token 消耗同时保持基本可操作性。要求目标页面未被注入额外保护脚本阻断 CDP 通信。目前仅支持有限数量的并发会话,高负载下可能出现排队延迟。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install browser-automation-pin;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

browser-automation-pin 怎么安装?

在终端执行 openclaw skills install browser-automation-pin。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

browser-automation-pin 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

browser-automation-pin 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

browser-automation-pin 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

browser-automation-pin 用的人多吗?

公开数据是累计安装 10,176 次,近一周安装 424 次,下载 3,392 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

browser-automation-pin 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
browser-automation-pin

浏览器自动化引脚 · 本页

10,176—操作浏览器MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
browser-automation
description
Browser automation for AI agents using PinchTab. Control Chrome programmatically for testing, scraping, and interaction. Features token-efficient text extraction, multi-instance orchestration, headless/headed modes, and MCP integration. Use when automating browser tasks, extracting web data, testing web apps, or validating sites in real browsers.
metadata
version
1.0
origin
PinchTab

Browser Automation

Browser automation for AI agents using PinchTab — a high-performance Chrome bridge with HTTP API.

What is PinchTab?

  • Standalone HTTP server — Control Chrome via HTTP API
  • Token-efficient — 800 tokens/page with text extraction (vs 10,000+ for screenshots)
  • Multi-instance — Run multiple parallel Chrome processes with isolated profiles
  • Headless or Headed — Run without window or with visible Chrome
  • Self-contained — 12MB binary, no external dependencies
  • MCP integration — Native SMCP plugin for Claude Code

Quick Start

Installation

# macOS / Linux
curl -fsSL https://pinchtab.com/install.sh | bash

# npm
npm install -g pinchtab

# Docker
docker run -d -p 9867:9867 pinchtab/pinchtab

Start Server

# Terminal 1: Start PinchTab server
pinchtab
# Server runs on http://localhost:9867

Basic Commands

# Navigate
pinchtab nav https://pinchtab.com

# Wait 3 seconds for accessibility tree
sleep 3

# Get interactive elements
pinchtab snap -i -c

# Extract text (token-efficient)
pinchtab text

# Click element by ref
pinchtab click e5

# Fill input
pinchtab fill e3 "user@example.com"

Core Concepts

Instance

A running Chrome process. Each instance has isolated state.

# Create headless instance
pinchtab instances create --mode=headless

# Create headed instance (visible window)
pinchtab instances create --mode=headed

# List instances
pinchtab instances list

# Stop instance
pinchtab instances stop <instance-id>

Profile

Browser state (cookies, history, localStorage). Log in once, stay logged in.

# Create instance with profile
pinchtab instances create --profile=work

# Profile persists across restarts

Tab

A single webpage. Each instance can have multiple tabs.

# Open new tab
pinchtab tabs open https://example.com

# List tabs
pinchtab tabs list

# Close tab
pinchtab tabs close <tab-id>

Token-Efficient Patterns

The 3-Second Wait Rule

Critical: Chrome's accessibility tree takes ~3 seconds to populate after navigation.

# ❌ Too fast - empty tree
pinchtab nav https://example.com
pinchtab snap
# Returns: {"count": 1, "nodes": [{"ref": "e0"}]}

# ✅ Wait 3 seconds
pinchtab nav https://example.com
sleep 3
pinchtab snap
# Returns: {"count": 2645, "nodes": [...]}

Optimal Extraction Pattern

# Navigate + wait + filter (14x token savings)
curl -X POST http://localhost:9867/navigate \
  -d '{"url": "https://example.com"}' && \
sleep 3 && \
curl http://localhost:9867/snapshot | \
jq '.nodes[] | select(.name | length > 15) | .name' | \
head -30

Why this works:

  1. Navigate + wait ensures full accessibility tree
  2. jq filter extracts text nodes only
  3. length > 15 filters buttons/labels
  4. head -30 limits output

Token comparison:

  • Exploratory approach: ~3,800 tokens
  • Pattern-driven: ~270 tokens
  • Savings: 14x

HTTP API Reference

Base URL

http://localhost:9867

Instances

# Create instance
TAB=$(curl -s -X POST http://localhost:9867/instances \
  -d '{"profile":"work","mode":"headless"}' | jq -r '.id')

# List instances
curl http://localhost:9867/instances

# Stop instance
curl -X POST "http://localhost:9867/instances/$TAB/stop"

Navigation

# Navigate to URL
curl -X POST "http://localhost:9867/instances/$TAB/tabs/open" \
  -d '{"url":"https://example.com"}'

# Wait for load
sleep 3

Snapshot

# Full snapshot
curl "http://localhost:9867/instances/$TAB/snapshot"

# Interactive elements only
curl "http://localhost:9867/instances/$TAB/snapshot?filter=interactive"

# With coordinates
curl "http://localhost:9867/instances/$TAB/snapshot?includeCoords=true"

Actions

# Click element
curl -X POST "http://localhost:9867/instances/$TAB/action" \
  -d '{"kind":"click","ref":"e5"}'

# Type text
curl -X POST "http://localhost:9867/instances/$TAB/action" \
  -d '{"kind":"type","ref":"e12","text":"hello"}'

# Press key
curl -X POST "http://localhost:9867/instances/$TAB/action" \
  -d '{"kind":"key","ref":"e12","key":"Enter"}'

# Scroll
curl -X POST "http://localhost:9867/instances/$TAB/action" \
  -d '{"kind":"scroll","direction":"down"}'

Extraction

# Extract text (token-efficient)
curl "http://localhost:9867/instances/$TAB/text"

# Take screenshot
curl "http://localhost:9867/instances/$TAB/screenshot" \
  --output screenshot.png

# Generate PDF
curl "http://localhost:9867/instances/$TAB/pdf" \
  --output page.pdf

# Evaluate JavaScript
curl -X POST "http://localhost:9867/instances/$TAB/evaluate" \
  -d '{"script": "document.title"}'

Common Patterns

Pattern 1: Web Scraping

#!/bin/bash
# scrape-headlines.sh

URL=$1
INST=$(curl -s -X POST http://localhost:9867/instances \
  -d '{"mode":"headless"}' | jq -r '.id')

# Navigate and wait
curl -s -X POST "http://localhost:9867/instances/$INST/tabs/open" \
  -d "{\"url\":\"$URL\"}"
sleep 3

# Extract headlines (filter by length)
curl -s "http://localhost:9867/instances/$INST/snapshot" | \
  jq '.nodes[] | select(.name | length > 20) | .name' | \
  head -20

# Cleanup
curl -s -X POST "http://localhost:9867/instances/$INST/stop"

Pattern 2: Form Interaction

#!/bin/bash
# fill-form.sh

INST=$(curl -s -X POST http://localhost:9867/instances \
  -d '{"mode":"headless"}' | jq -r '.id')

# Navigate to form
curl -s -X POST "http://localhost:9867/instances/$INST/tabs/open" \
  -d '{"url":"https://example.com/login"}'
sleep 3

# Get snapshot to find element refs
SNAPSHOT=$(curl -s "http://localhost:9867/instances/$INST/snapshot?filter=interactive")

# Extract refs (example: e5=email, e7=password, e9=submit)
EMAIL_REF=$(echo $SNAPSHOT | jq -r '.nodes[] | select(.name | contains("email")) | .ref')
PASS_REF=$(echo $SNAPSHOT | jq -r '.nodes[] | select(.name | contains("password")) | .ref')
SUBMIT_REF=$(echo $SNAPSHOT | jq -r '.nodes[] | select(.role == "button") | .ref')

# Fill form
curl -s -X POST "http://localhost:9867/instances/$INST/action" \
  -d "{\"kind\":\"type\",\"ref\":\"$EMAIL_REF\",\"text\":\"user@example.com\"}"
curl -s -X POST "http://localhost:9867/instances/$INST/action" \
  -d "{\"kind\":\"type\",\"ref\":\"$PASS_REF\",\"text\":\"password123\"}"

# Submit
curl -s -X POST "http://localhost:9867/instances/$INST/action" \
  -d "{\"kind\":\"click\",\"ref\":\"$SUBMIT_REF\"}"

# Wait for navigation
sleep 3

# Verify login
curl -s "http://localhost:9867/instances/$INST/text" | jq -r '.title'

# Cleanup
curl -s -X POST "http://localhost:9867/instances/$INST/stop"

Pattern 3: Multi-Instance Parallel Processing

#!/bin/bash
# parallel-scrape.sh

URLS=("https://site1.com" "https://site2.com" "https://site3.com")
INSTANCES=()

# Create instances
for i in {0..2}; do
  INST=$(curl -s -X POST http://localhost:9867/instances \
    -d '{"mode":"headless"}' | jq -r '.id')
  INSTANCES[$i]=$INST
done

# Launch parallel jobs
for i in {0..2}; do
  (
    curl -s -X POST "http://localhost:9867/instances/${INSTANCES[$i]}/tabs/open" \
      -d "{\"url\":\"${URLS[$i]}\"}"
    sleep 3
    TITLE=$(curl -s "http://localhost:9867/instances/${INSTANCES[$i]}/text" | jq -r '.title')
    echo "Result $i: $TITLE"
    curl -s -X POST "http://localhost:9867/instances/${INSTANCES[$i]}/stop"
  ) &
done

wait
echo "All complete"

Pattern 4: Visual Regression Testing

#!/bin/bash
# visual-regression.sh

URLS=("https://staging.example.com" "https://production.example.com")
INST=$(curl -s -X POST http://localhost:9867/instances \
  -d '{"mode":"headless"}' | jq -r '.id')

for URL in "${URLS[@]}"; do
  curl -s -X POST "http://localhost:9867/instances/$INST/tabs/open" \
    -d "{\"url\":\"$URL\"}"
  sleep 3

  # Take screenshot
  FILENAME=$(echo $URL | sed 's/[^a-zA-Z0-9]/_/g').png
  curl -s "http://localhost:9867/instances/$INST/screenshot" \
    --output "$FILENAME"
  echo "Saved: $FILENAME"
done

curl -s -X POST "http://localhost:9867/instances/$INST/stop"

Pattern 5: Session Persistence

#!/bin/bash
# persistent-session.sh

# Create instance with named profile
INST=$(curl -s -X POST http://localhost:9867/instances \
  -d '{"profile":"myaccount","mode":"headless"}' | jq -r '.id')

# Login once
curl -s -X POST "http://localhost:9867/instances/$INST/tabs/open" \
  -d '{"url":"https://example.com/login"}'
sleep 3
# ... perform login ...

# Stop (cookies saved to profile)
curl -s -X POST "http://localhost:9867/instances/$INST/stop"

# Later: Resume with same profile
INST2=$(curl -s -X POST http://localhost:9867/instances \
  -d '{"profile":"myaccount","mode":"headless"}' | jq -r '.id')

# Already logged in!
curl -s -X POST "http://localhost:9867/instances/$INST2/tabs/open" \
  -d '{"url":"https://example.com/dashboard"}'

MCP Integration

PinchTab provides an SMCP plugin for native Claude Code integration.

Setup

# Set plugin directory
export MCP_PLUGINS_DIR=/path/to/pinchtab/plugins

# Restart Claude Code to load plugin

Available Tools

ToolDescription
pinchtab__navigateNavigate to URL
pinchtab__snapshotGet page structure
pinchtab__actionClick, type, press keys
pinchtab__textExtract text content
pinchtab__screenshotCapture screenshot
pinchtab__pdfGenerate PDF
pinchtab__evaluateRun JavaScript
pinchtab__cookies_getGet cookies
pinchtab__stealth_statusCheck stealth mode

Usage in Claude Code

Use pinchtab to navigate to example.com and extract the main headlines.

Claude will:

  1. Call pinchtab__navigate with URL
  2. Wait 3 seconds
  3. Call pinchtab__snapshot with filter
  4. Extract headlines from result

Headless vs Headed

AspectHeadlessHeaded
WindowNo visible UIChrome window visible
Speed~20% fasterSlower (rendering overhead)
Memory~50-80 MB~100-150 MB
Use CaseCI/CD, scraping, batchDebugging, visual QA
InteractionAPI onlyAPI + manual
# Headless for production
pinchtab instances create --mode=headless

# Headed for debugging
pinchtab instances create --mode=headed

Best Practices

DO

  • ✅ Wait 3+ seconds after navigation
  • ✅ Use text extraction over screenshots (token-efficient)
  • ✅ Filter snapshots to reduce tokens
  • ✅ Use profiles for persistent sessions
  • ✅ Run headless in production
  • ✅ Clean up instances after use
  • ✅ Handle errors gracefully

DON'T

  • ❌ Skip the 3-second wait
  • ❌ Take screenshots for text extraction
  • ❌ Parse full snapshots without filtering
  • ❌ Use headed mode in CI/CD
  • ❌ Leave instances running indefinitely
  • ❌ Hardcode element refs (they change)

Troubleshooting

Only getting 1 node in snapshot

Cause: Accessibility tree not ready Fix: Increase wait time to 3+ seconds

pinchtab nav https://example.com
sleep 3  # Increase if needed
pinchtab snap

Timeouts

Cause: Page too slow or Chrome overloaded Fix: Increase sleep or use headless mode

# Increase wait
sleep 5

# Or use headless for faster rendering
pinchtab instances create --mode=headless

Element not found

Cause: Refs change between snapshots Fix: Re-snapshot before each action

# Get fresh refs before each action
REF=$(pinchtab snap -i | jq -r '.nodes[] | select(.name == "Submit") | .ref')
pinchtab click "$REF"

Connection refused

Cause: PinchTab server not running Fix: Start server first

pinchtab  # In separate terminal

References


*Token-efficient browser automation for AI agents.*

平台分布

OpenClaw

70.57%
按下载量换算2,394

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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