Token导航 LogoToken导航

Agent Skill · 研究检索

openclaw-rpa(OpenClaw RPA 搜索)

openclaw-rpa 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。

openclaw-rpa 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 10,792。

总安装 12,093周安装 494GitHub Stars 1下载 3,873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
1.3.0

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:openclaw-rpa(OpenClaw RPA 搜索)
来源仓库:https://github.com/laziobird/openclaw-rpa
安装命令:
openclaw skills install openclaw-rpa
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 openclaw-rpa

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。

录制浏览器、Excel、Word 及 API 操作流程,支持无代码回放执行。适用于自动化网页交互、数据录入与重复性办公任务的批量处理。采用轻量级脚本引擎减少幻觉风险,提升执行可靠性。录制过程可能涉及页面元素定位,需确保选择器稳定不易失效。建议在沙箱或测试环境中验证脚本后再应用于生产流程。

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 openclaw-rpa;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

openclaw-rpa 怎么安装?

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

openclaw-rpa 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。

openclaw-rpa 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。

openclaw-rpa 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。

openclaw-rpa 用的人多吗?

公开数据是累计安装 12,093 次,近一周安装 494 次,下载 3,873 次,GitHub 1 星。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。

openclaw-rpa 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
openclaw-rpa

OpenClaw RPA 搜索 · 本页

12,0931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
openclaw-rpa
description
Record browser, Excel, Word & API actions once — replay without the LLM: faster, cheaper, no hallucinations. github.com/laziobird/openclaw-rpa . Supports computer-use automation: web clicks/fill/extract, local Excel (.xlsx via openpyxl), Word (.docx via python-docx), HTTP API calls (httpx GET/POST), and auto-login cookie reuse. · Triggers: #rpa #RPA #rpa-api #rpa-login #rpa-login-done #rpa-autologin #rpa-autologin-list #rpa-list #rpa-run #rpa-help · Use when user says RPA, 录制自动化, browser automation, or asks to automate browser/file tasks.
metadata
openclaw
emoji
🤖
os
["darwin", "linux"]
localeConfig
config.json
instructionFiles
zh-CN
SKILL.zh-CN.md
en-US
SKILL.en-US.md

openclaw-rpa — Locale router (read this first)

GitHub: https://github.com/laziobird/openclaw-rpa — source, README, install, sample scripts under rpa/.

What this skill does

openclaw-rpa is an LLM-based RPA Agent framework. You describe a task in plain language; the AI executes it step by step in a real browser, on your computer, or via API services — with screenshot proof at every step — then compiles everything into a standalone Playwright Python script. Replay runs that script directly — no model call, no token burn, no hallucination risk — faster and cheaper than having the AI click every time.

Why this matters

  1. Saves compute and money — Having a large model drive the browser on every run can cost roughly single-digit to tens of US dollars per heavy session (tokens, tools, long context). After you record once, repeat work does not call the model—replay is much faster and near-zero LLM cost for those steps.
  2. Verify once, run the same way every time — During recording you confirm the flow works; later, replay executes the saved steps deterministically. You avoid asking the AI to “do it again” on every run, which hurts consistency and raises hallucination risk.

What you can automate (record once, replay many times — follow each site’s terms and local law):

CategoryExamples
BrowserLogin, navigate, click, fill forms, extract text, sort / filter tables
HTTP APIGET / POST any REST endpoint, save JSON, embed API keys directly in the script (#rpa-api)
Excel (.xlsx)Create / update workbooks, multiple sheets, headers, freeze panes, dynamic rows from JSON or another file
Word (.docx)Generate reports with paragraphs and tables — no Microsoft Office required
Auto-loginSave cookies once with #rpa-login, auto-inject on every recording and replay — skip OTP / CAPTCHA / QR-code flows
Mixed flowsAny combination above in a single recorded task (e.g. API + Excel + Word, or browser + login + extract)

🚀 Real-world cases — already recorded, ready to run

These scripts are registered in registry.json. Run any of them instantly — no re-recording, no tokens. `` #rpa-list ← see all registered tasks #rpa-run:amazonbestseller ← run one directly python3 rpa_manager.py run <name> ← or via CLI ``
#CaseWhat it doesRun name
🛒Amazon Best Sellers ScraperScrape top 40 products (title, price, rating, reviews, URL) → Word tableamazonbestseller
🏨Airbnb Competitor Price TrackerOpen browser → vision recognition → extract prices & ratings → Word reportairbnb民宿比价分析v11
🏦AP Reconciliation (EN)Mock GET open payables → Excel match → Word table reportreconciliationV2
🔑Auto-login: Ctrip HotelSave cookies once → skip OTP forever → extract hotel info → Word doc携程酒店V3
📈Yahoo Finance NewsSearch NVDA → News tab → save top 5 headlines to DesktopYahooNew
🎬Douban MovieSearch a film → detail page → title, rating, synopsis → Desktop file获取豆瓣电影数据
🌐Alpha Vantage APITIME_SERIES_DAILY for NVDA → nvda_time_series_daily.json (no browser)apiV3
🛍️Sauce Demo ShoppingSign in → sort by price → add two most expensive → log outonlineShoppingV1

📖 Full case gallery & videos → README.md


When to use

You want to…Send
Start recording a new flow#automation robot, #RPA, #rpa, or mention Playwright automation
See saved tasks you can run#rpa-list
Run a saved task (e.g. new chat)#rpa-run:{task name}
Run in this chatrun:{task name} (zh-CN: #run:{task-name})

Quick start (after install)

#rpa-list
#rpa-run:your-task-name

Full protocol, state machine, two-line signup (task name + capability A–G/N), deps-check / deps-install, record-step JSON, progressive probing, and selector strength (composite CSS — container + tag / attributes / :has(); avoid bare h3) live in the locale file below.

Output

Generated file is ordinary Python (rpa/*.py) — runs standalone with python3, editable, no OpenClaw dependency at replay time.

Scope

Browser — goto, click, fill, select_option, scroll, wait, snapshot, extract_text, dom_inspect. HTTP API — api_call (httpx GET/POST, key embedding, save_response_to); independent of the browser page. Local files — merge_files (concatenate Desktop files); extract_text writes to disk; patch rpa/*.py for folder / file ops after recording. Excel / Word — excel_write (openpyxl, multi-sheet, dynamic rows from JSON or another file); word_write (python-docx, paragraphs + tables); no Microsoft apps required. Computed logic — python_snippet injects arbitrary Python into the generated script; executed and validated at record time. Out of scope — large ETL, databases, heavy OS automation.

Recommended sites

Good fits — predictable structure, works well out of the box:

CategoryExamples
Finance / dataYahoo Finance, investing.com
E-commerceSauce Demo (saucedemo.com), AliExpress, eBay
News / mediaBBC News, Reuters, Hacker News, Reddit listing pages
ReferenceWikipedia, GitHub public repo / issues pages

Not recommended — likely to break or require manual intervention:

SituationWhyWorkaround
Login-gated flows (password / SMS OTP / slider / QR code)Credentials and 2FA must be handled manuallyUse #rpa-login to log in once manually → cookies saved automatically → #rpa-autologin injects them on every future recording and replay, skipping the login flow entirely
Tip: on a new site, start with goto + snapshot to confirm the page structure is readable before building a full flow.

Mandatory: load the correct instruction file

  1. Read config.json in this skill directory. If it does not exist, read config.example.json (same shape; default locale is en-US).
  2. Read the "locale" field. Allowed values: zh-CN and en-US (repository default in config.example.json: en-US).
  3. Immediately use the Read tool to load the full skill body:

- zh-CN → SKILL.zh-CN.md - en-US → SKILL.en-US.md

  1. Follow only that file for state machine, triggers, record-step JSON, onboarding text, and user-facing replies.
  1. Reply to the user in the active locale’s language:

- zh-CN → Simplified Chinese for agent messages (user may still type English). - en-US → English for agent messages (user may still type Chinese).

Changing language

  • Copy config.example.json → config.json if needed (python3 scripts/bootstrap_config.py), then edit "locale", or
  • Run: python3 scripts/set_locale.py en-US / python3 scripts/set_locale.py zh-CN (creates config.json from the example when missing).

After a locale change, the agent should re-read the matching SKILL.*.md in a new turn or session. See README.md in this directory for the full workflow.

ClawHub / discovery

Relative paths

When the loaded file references playwright-templates.md, synthesis-prompt.md, or rpa_manager.py, resolve paths relative to this skill directory (parent of SKILL.md).

平台分布

OpenClaw

96.04%
按下载量换算3,720

安全审计

VirusTotal

可疑

ClawScan

可疑

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。

继续浏览同类 Skills