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browser-use-local浏览器使用本地

Agent Skill

browser-use-local 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

48,240

周安装

2,051

GitHub Stars

公开资料未说明

下载量

17,278
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:browser-use-local(浏览器使用本地)
来源仓库:https://github.com/fengjiajie/browser-use-local
安装命令:
openclaw skills install browser-use-local
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-use-local

简介

通过浏览器使用 CLI/Python 在本地自动执行浏览器操作:打开页面、单击/键入、屏幕截图、提取 HTML/链接、调试会话以及捕获登录二维码。

SKILL.md

name
browser-use-local
description
Use when you need browser automation via the browser-use CLI or Python code in this OpenClaw container/host: open pages, click/type, take screenshots, extract HTML/links, or run an Agent with an OpenAI-compatible LLM (e.g. Moonshot/Kimi) using a custom base_url. Also use for debugging browser-use sessions (state empty, page readiness timeouts), and for extracting login QR codes from demo/login pages via screenshots or HTML data:image.

browser-use (local) playbook

Default constraints in this environment

  • Prefer browser-use (CLI/Python) over OpenClaw browser tool here; OpenClaw browser may fail if no supported system browser is present.
  • Use persistent sessions to do multi-step flows: --session <name>.

Quick CLI workflow (non-agent)

1) Open

browser-use --session demo open https://example.com

2) Inspect (sometimes state returns 0 elements on heavy/JS sites)

browser-use --session demo --json state | jq '.data | {url,title,elements:(.elements|length)}'

3) Screenshot (always works; best debugging primitive)

browser-use --session demo screenshot /home/node/.openclaw/workspace/page.png

4) HTML for link discovery (works even when state is empty)

browser-use --session demo --json get html > /tmp/page_html.json
python3 - <<'PY'
import json,re
html=json.load(open('/tmp/page_html.json')).get('data',{}).get('html','')
urls=set(re.findall(r"https?://[^\s\"'<>]+", html))
for u in sorted([u for u in urls if any(k in u for k in ['demo','login','console','qr','qrcode'])])[:200]:
    print(u)
PY

5) Lightweight DOM queries via JS (useful when state is empty)

browser-use --session demo --json eval "location.href"
browser-use --session demo --json eval "document.title"

Agent workflow with OpenAI-compatible LLM (Moonshot/Kimi)

Use Python for Agent runs when the CLI run path requires Browser-Use cloud keys or when you need strict control over LLM parameters.

Minimal working Kimi example

Create .env (or export env vars) with:

  • OPENAI_API_KEY=...
  • OPENAI_BASE_URL=https://api.moonshot.cn/v1

Then run the bundled script:

source /home/node/.openclaw/workspace/.venv-browser-use/bin/activate
python /home/node/.openclaw/workspace/skills/browser-use-local/scripts/run_agent_kimi.py

Kimi/Moonshot quirks observed in practice (fixes):

  • temperature must be 1 for kimi-k2.5.
  • frequency_penalty must be 0 for kimi-k2.5.
  • Moonshot can reject strict JSON Schema used for structured output. Enable:

- remove_defaults_from_schema=True - remove_min_items_from_schema=True

If you get a 400 error mentioning response_format.json_schema ... keyword 'default' is not allowed or min_items unsupported, those two flags are the first thing to set.

QR code extraction (login/demo pages)

Preferred order

1) Screenshot the page and crop candidate regions (fast, robust). 2) If HTML contains data:image/png;base64,..., extract and decode it.

Crop candidates

Use scripts/crop_candidates.py to generate multiple likely QR crops from a screenshot.

source /home/node/.openclaw/workspace/.venv-browser-use/bin/activate
python skills/browser-use-local/scripts/crop_candidates.py \
  --in /home/node/.openclaw/workspace/login.png \
  --outdir /home/node/.openclaw/workspace/qr_crops

Extract base64-embedded images from HTML

source /home/node/.openclaw/workspace/.venv-browser-use/bin/activate
browser-use --session demo --json get html > /tmp/page_html.json
python skills/browser-use-local/scripts/extract_data_images.py \
  --in /tmp/page_html.json \
  --outdir /home/node/.openclaw/workspace/data_imgs

Troubleshooting

  • state shows elements: 0: use get html + regex discovery, plus screenshots; use eval to query DOM.
  • Page readiness timeout warnings: usually harmless; rely on screenshot + HTML.
  • CLI flags order: global flags go *before* the subcommand:

- ✅ browser-use --browser chromium --json open https://... - ❌ browser-use open https://... --browser chromium

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

78.08%
按下载量换算13,491

安全审计

VirusTotal

通过

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 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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