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研究检索操作浏览器clawhub未标认证来源可访问clear审计提醒

slbrow-skill粗眉技巧

Agent Skill

slbrow-skill 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

1,905

周安装

81

GitHub Stars

公开资料未说明

下载量

667
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:slbrow-skill(粗眉技巧)
来源仓库:https://github.com/adeted/slbrow-skill
安装命令:
openclaw skills install slbrow-skill
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 slbrow-skill

简介

slbrow-skill 用于浏览器自动化,支持页面导航、内容提取与选项卡管理。

  • 适合在 OpenClaw 中验证前端流程、抓取网页数据或模拟用户操作。
  • 通过 clawhub 安装,需连接 SLBrow MCP 或 HTTP API 服务。
  • 安装前应确认服务可用性、端口开放与认证方式。
  • 涉及敏感页面时应遵守 robots.txt 与隐私政策限制。

SKILL.md

name
slbrow-skills
description
Browser automation via SLBrow MCP and HTTP API. Use when the user needs to navigate pages, analyze content, manage tabs, search history, extract text, or control the browser. Supports both MCP tools and direct curl commands. Requires SLBrow server running and browser extension installed.

SLBrow Browser Automation (Skills for Browser)

Skills for browser-side AI assistant. The browser plugin (aiassist) connects to slbrow-mcp via MCP protocol; these skills guide when and how to use the tools. Can be used via MCP tools or direct HTTP API calls with curl.

Prerequisites

  1. SLBrow server running: npx slbrow or npm start in ai/slbrowmcp/slbrow-mcp/
  2. Browser extension installed and connected (Chrome/Firefox)
  3. MCP plugin enabled in aiassist: http://127.0.0.1:5556/mcp (视联浏览器MCP), http://127.0.0.1:5556/vaimcp (视联视频AI MCP)
  4. Default ports: HTTP 5556, WebSocket 5555

Usage Methods

Method 1: MCP Tools (Browser Plugin + MCP)

When the MCP plugin is enabled, the AI has access to browser tools. Use these skills to guide tool selection and workflow:

  • Navigation: Use page_navigate to open URLs
  • Analysis: Use page_analyze with intent_hint (article, form submit, post_create) before extraction
  • Tabs: Use tab_list first, then pass tab_id to target specific tabs

Method 2: HTTP API with curl (Direct Control)

Always available - Use curl commands to control browser directly without MCP plugin dependency:

Basic format (PowerShell-friendly — no temp JSON file):

curl.exe -X POST http://localhost:5556/api/execute -H 'Content-Type: application/json' -d '{\"tool\":\"TOOL_NAME\",\"args\":{\"PARAM\":\"VALUE\"}}'

Important notes for Windows PowerShell:

  • Use curl.exe instead of curl (PowerShell aliases curl to Invoke-WebRequest)
  • Put the JSON body in -d '...' with single quotes around the whole argument; backslash-escape every double quote in the JSON (\"). That way the shell passes valid JSON to curl without needing --data-binary @file

Common curl examples:

# Create new tab and navigate
curl.exe -X POST http://localhost:5556/api/execute -H 'Content-Type: application/json' -d '{\"tool\":\"tab_create\",\"args\":{\"url\":\"https://www.163.com\"}}'

# Navigate current tab
curl.exe -X POST http://localhost:5556/api/execute -H 'Content-Type: application/json' -d '{\"tool\":\"page_navigate\",\"args\":{\"url\":\"https://www.example.com\"}}'

# List all tabs
curl.exe -X POST http://localhost:5556/api/execute -H 'Content-Type: application/json' -d '{\"tool\":\"tab_list\",\"args\":{}}'

# Analyze page content
curl.exe -X POST http://localhost:5556/api/execute -H 'Content-Type: application/json' -d '{\"tool\":\"page_analyze\",\"args\":{\"intent_hint\":\"article\"}}'

# Extract article content
curl.exe -X POST http://localhost:5556/api/execute -H 'Content-Type: application/json' -d '{\"tool\":\"page_extract_content\",\"args\":{\"content_type\":\"article\"}}'

# Close specific tab
curl.exe -X POST http://localhost:5556/api/execute -H 'Content-Type: application/json' -d '{\"tool\":\"tab_close\",\"args\":{\"tab_id\":1234567890}}'

# Search browser history
curl.exe -X POST http://localhost:5556/api/execute -H 'Content-Type: application/json' -d '{\"tool\":\"get_history\",\"args\":{\"keywords\":\"search term\",\"max_results\":10}}'

Response format: API returns JSON with success, tool, result, and formatted fields for easy parsing.

Available Tools

ToolDescription
page_navigateNavigate current tab to URL
page_analyzeAnalyze page for elements (intent_hint: article, form submit, post_create, etc.)
page_extract_contentExtract content (content_type: article, search_results, posts)
page_wait_forWait for element or text (condition_type, selector, text)
tab_createCreate tab(s) (url, urls[], or count)
tab_closeClose tab(s) (tab_id, tab_ids[])
tab_listList open tabs with IDs
get_historySearch browser history (keywords, start_date, end_date, domains, max_results)
get_selected_textGet selected text (optional tab_id)
get_page_linksGet page links (link_type: all/internal/external, domains, max_results)

VAI Tools (Seelink)

ToolDescription
get_page_seelink_player_listGet all players on current page
use_seelink_players_aiApply AI function to players (ai_function_name: reduce_fog, face_mosaic, dark_reduce, human_outline, vechicle_outline, none)

Workflow Patterns

Multi-tab workflow:

  1. tab_list to get tab IDs
  2. Add tab_id to any tool to target a background tab

Content extraction:

  1. page_navigate to target URL
  2. page_analyze with intent_hint to find elements
  3. page_extract_content for article/search_results/posts

Form filling:

  1. page_analyze with intent_hint "form submit" to discover form elements
  2. Note the element IDs returned — use them with subsequent page_analyze or page_extract_content to confirm state

VAI (Seelink player AI):

  1. get_page_seelink_player_list to get player IDs and count
  2. Choose targets by player_position_list (zero-based index) or player_id_list (not both)
  3. use_seelink_players_ai with chosen targets and ai_function_name
  4. To apply different functions to different players, call use_seelink_players_ai separately for each
  5. To disable AI on a player, set ai_function_name to "none"

Fetching Skills in Browser

The browser plugin can fetch skills from the server to inject into AI context:

GET http://127.0.0.1:5556/api/skills

Returns the full SKILL.md content (text/markdown). Use when slbrow MCP plugins are enabled to guide tool usage.

API Reference

For full parameter schemas, see references/api-reference.md.

Additional resources

Error Handling

  • EXTENSION_DISCONNECTED: Ensure extension is installed and server is running. Check http://localhost:5556/health first.
  • Tool call timeout: Operation took >30s; retry with simpler args or break into smaller steps.
  • page_analyze returns 0 elements: Page may still be loading — wait a moment and retry, or page_navigate again.
  • tab_id invalid (tab was closed): Call tab_list to refresh available tab IDs before retrying.
  • Server restarted (session lost): Client will receive 404; re-initialize MCP connection (refresh the page).

Quick Reference for curl Commands

Tab Management:

  • Create tab: tab_create with url parameter
  • List tabs: tab_list with empty args
  • Close tab: tab_close with tab_id parameter
  • Navigate: page_navigate with url parameter

Content Analysis:

  • Analyze page: page_analyze with intent_hint (article, form_submit, post_create)
  • Extract content: page_extract_content with content_type (article, search_results, posts)
  • Get links: get_page_links with link_type (all, internal, external)

History & Text:

  • Search history: get_history with keywords, max_results
  • Get selected text: get_selected_text with optional tab_id

Seelink AI:

  • Get players: get_page_seelink_player_list
  • Apply AI: use_seelink_players_ai with player_position_list or player_id_list and ai_function_name

Troubleshooting

Server not responding:

  • Check if SLBrow server is running: curl.exe http://localhost:5556/health
  • Verify server is started with npx slbrow or npm start

Curl command fails:

  • Ensure using curl.exe in PowerShell
  • For -d, use single-quoted JSON with \" around each JSON string delimiter (see Method 2 examples above)
  • Verify server is accessible on port 5556

Tab operations not working:

  • Use tab_list to get current tab IDs first
  • Verify tab_id is valid and tab still exists
  • Check if browser extension is connected

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

88.05%
按下载量换算587

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

可疑

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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