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browser-steel浏览器钢

Agent Skill

browser-steel 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

3,195

周安装

128

GitHub Stars

公开资料未说明

下载量

1,034
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-steel(浏览器钢)
来源仓库:https://github.com/xyanmi/browser-steel
安装命令:
openclaw skills install browser-steel
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-steel

简介

browser-steel 默认采用 Steel CLI 进行浏览器自动化。

  • 对 JS 密集型页面提供更好兼容性支持。
  • Python Playwright 作为备用方案兜底执行。
  • 需预先安装 Steel 运行时及其依赖项。
  • 建议监控资源占用情况以避免服务雪崩。browser-steel 属于效率类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
browser-steel
description
Browser automation with Steel CLI as the default runtime, plus a Python Playwright fallback for custom flows. Use when the user asks to open a JS-heavy site, capture live page content, take screenshots/PDFs, fill forms, reuse a named browser session, or debug login/CAPTCHA/browser workflows. Trigger examples: 'Use Steel to log into this site and extract the table' or 'Take a real-browser screenshot of this dashboard'. Capabilities: (1) Steel CLI session workflows, (2) stateless scrape/screenshot/pdf commands, (3) Python Playwright plan execution, (4) runtime selection between auto/cli/node/python.
learnable
true
metadata
{"openclaw":{"emoji":"🌐","requires":{"bins":["steel","python3"],"env":["STEEL_API_KEY"]},"primaryEnv":"STEEL_API_KEY"}}

Browser Steel

Use Steel CLI first. Use the Python runtime only when the workflow needs selector-heavy custom logic that is awkward to express through raw CLI steps.

What CLI means here

CLI means Command Line Interface.

In this skill, it specifically means the Steel terminal commands themselves, for example:

steel scrape https://example.com
steel browser start --session demo
steel browser open https://example.com --session demo
steel browser snapshot -i --session demo

The wrapper script does not replace Steel CLI. It packages it into a more publishable, agent-friendly entrypoint:

python3 {baseDir}/scripts/main.py scrape --url https://example.com
python3 {baseDir}/scripts/main.py start-session --session demo
python3 {baseDir}/scripts/main.py browser --session demo -- snapshot -i -c

So the relationship is:

  • Steel CLI = the underlying browser command system
  • scripts/main.py = the wrapper that calls Steel CLI by default
  • Python runtime = a fallback path for custom Playwright logic when CLI steps are not enough

First checks

  1. Run the doctor command before the first real task in a new environment:
   python3 {baseDir}/scripts/main.py doctor
  1. Prefer stateless commands for one-shot extraction or capture.
  2. Prefer named sessions for multi-step interaction.
  3. Keep the same --session value across every step in one workflow.
  4. Never bake private cookies, profile names, or local paths into the skill itself.

Runtime selection

  • auto: prefer installed steel, otherwise fall back to npx @steel-dev/cli
  • cli: same as auto, but fail if no CLI path is available
  • node: force the Node-distributed CLI path through npx @steel-dev/cli
  • python: use Steel SDK + Playwright through run-python-plan

Read references/runtime-modes.md only when runtime choice or env resolution matters. Read references/official-docs.md when you need the authoritative Steel CLI or Playwright-Python upstream reference.

Preferred commands

Health check

python3 {baseDir}/scripts/main.py doctor

Stateless commands

python3 {baseDir}/scripts/main.py scrape --url https://example.com --format markdown --json
python3 {baseDir}/scripts/main.py screenshot --url https://example.com --full-page --json
python3 {baseDir}/scripts/main.py pdf --url https://example.com --json

Named-session workflow

python3 {baseDir}/scripts/main.py start-session --session demo --stealth --json
python3 {baseDir}/scripts/main.py browser --session demo -- open https://example.com
python3 {baseDir}/scripts/main.py browser --session demo -- snapshot -i -c
python3 {baseDir}/scripts/main.py browser --session demo -- fill @e2 "hello"
python3 {baseDir}/scripts/main.py browser --session demo -- click @e5
python3 {baseDir}/scripts/main.py browser --session demo -- wait --load-state networkidle
python3 {baseDir}/scripts/main.py stop-session --session demo --json

Python Playwright plan

python3 {baseDir}/scripts/main.py run-python-plan \
  --plan-file {baseDir}/references/example-plan.json \
  --url https://example.com

Read references/python-plan.md only when the CLI path is insufficient.

Guardrails

  • Start with scrape, screenshot, or pdf when the task is stateless.
  • For interactive workflows, follow start-session -> browser commands -> stop-session.
  • After any navigation or meaningful DOM change, take a fresh snapshot -i before using another @eN ref.
  • Keep secrets in env vars or an explicit --env-file, not in the skill files.
  • Pass cookies only through --cookies-file or STEEL_BROWSER_COOKIES_FILE.
  • Use the Python runtime only for tasks that genuinely benefit from custom Playwright logic.
  • Record confirmed improvements in maintenance.log.

References

  • references/official-docs.md — upstream Steel CLI and Playwright-Python references
  • references/runtime-modes.md — runtime choice, env loading, and privacy rules
  • references/cli-workflows.md — reliable Steel CLI patterns
  • references/python-plan.md — JSON plan schema and supported actions
  • references/troubleshooting.md — install/auth/runtime recovery

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

70.62%
按下载量换算730

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

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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