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lowyat-forum-research洛亚特论坛研究

Agent Skill

lowyat-forum-research 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

3,269

周安装

139

GitHub Stars

公开资料未说明

下载量

1,145
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:lowyat-forum-research(洛亚特论坛研究)
来源仓库:https://github.com/superoo7/lowyat-forum-research
安装命令:
openclaw skills install lowyat-forum-research
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 lowyat-forum-research

简介

通过搜索Lowyat论坛并将主题抓取至Excel进行分析研究。

  • 适用于市场舆情监测、产品反馈收集或竞品情报挖掘。
  • 自动提取关键词与情绪倾向,生成结构化报告。
  • 需遵守论坛爬虫频率限制,尊重社区规则。lowyat-forum-research 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 结果可能存在偏差,应交叉验证信息来源可靠性。

SKILL.md

name
lowyat-forum-research
description
Research any topic by searching Lowyat forum (forum.lowyat.net), scraping relevant threads into Excel, and analyzing the results. Use this skill whenever the user wants to research, scrape, or extract opinions/recommendations from Lowyat forum. Triggers on keywords like "lowyat", "LYN", "forum research", or any Malaysian consumer research topic (e.g. renovation, gadgets, cars, property, food).
slug
lowyat-forum-research
display_name
Lowyat Forum Research & Analysis
owner
johnson
version
1.0.0
tags

Lowyat Forum Research Tool

End-to-end research pipeline: Search → Scrape → Analyze

Workflow

Step 1: Understand the user's research topic

  • Ask clarifying questions if needed (e.g. what specifically they want to learn)
  • Break the topic into 3-5 search keyword variations

Step 2: Search for relevant threads

  • Use WebSearch with site:forum.lowyat.net <keywords> to find threads
  • Use allowed_domains: ["forum.lowyat.net"] to filter results
  • Run multiple searches in parallel with different keyword angles
  • Present the most relevant threads to the user with titles and URLs
  • Let the user pick which threads to scrape, or recommend the best ones

Step 3: Scrape the selected threads

  • The scraper script (datascraping.py) should be in the project root
  • Install Python dependencies:
pip install requests beautifulsoup4 html5lib openpyxl tqdm

Or if you have uv installed:

uv sync
  • Run the scraper for each thread:
python datascraping.py <TOPIC_URL>
  • IMPORTANT: Do NOT include /all or /+N suffixes in the URL — just use the base topic URL (e.g. https://forum.lowyat.net/topic/5411252)
  • To scrape multiple threads, run them sequentially (one at a time) to be respectful to the server. Only run up to 3 in parallel if the user explicitly asks for speed, using & and wait
  • Output: <topic_id>.xlsx files with columns: Name, Date, Comment

Step 4: Analyze the scraped data

  • Read the scraped .xlsx files to understand the forum discussions
  • Synthesize findings across all threads into a structured summary
  • Organize insights by the user's research questions
  • Include: consensus opinions, brand recommendations, price ranges, warnings, and specific user experiences
  • Cite which thread/user said what when relevant

Scraper Details

  • Forum uses 20 posts per page, paginated via /+N URL suffix
  • Scraper auto-detects total pages and crawls all of them
  • Random 0.5–2s delay between page requests
  • Saves incrementally after each page — safe to interrupt
  • If .xlsx already exists, it resumes by appending

Tips for good searches

  • Use brand names: site:forum.lowyat.net Toto toilet
  • Use Malay keywords too: site:forum.lowyat.net kipas exhaust tandas
  • Add "recommendation" or "review": site:forum.lowyat.net water heater recommendation
  • Search by location: site:forum.lowyat.net bathroom shop KL Selangor
  • Try year filters for recency: site:forum.lowyat.net smart toilet 2024 2025

Example usage

User: "I want to research mechanical keyboards on Lowyat"

  1. Search with variations: mechanical keyboard recommendation, cherry mx switch, keychron Malaysia, custom keyboard
  2. Present top threads to user
  3. Scrape selected threads in parallel
  4. Read the xlsx files and provide analysis: popular brands, price ranges, where to buy, common complaints

Links

Disclaimer

Scraped data contains publicly available usernames, dates, and comments from forum.lowyat.net. This tool is intended for personal research purposes only. Users are responsible for how they store, share, and use the scraped data in compliance with applicable privacy laws and Lowyat forum's terms of service.

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

71.25%
按下载量换算816

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。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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