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openclaw-rpaOpenClaw RPA 搜索

Agent Skill

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。

总安装

12,093

周安装

494

GitHub Stars

1

下载量

3,873
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: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

简介

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。

SKILL.md

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

Browsergoto, click, fill, select_option, scroll, wait, snapshot, extract_text, dom_inspect. HTTP APIapi_call (httpx GET/POST, key embedding, save_response_to); independent of the browser page. Local filesmerge_files (concatenate Desktop files); extract_text writes to disk; patch rpa/*.py for folder / file ops after recording. Excel / Wordexcel_write (openpyxl, multi-sheet, dynamic rows from JSON or another file); word_write (python-docx, paragraphs + tables); no Microsoft apps required. Computed logicpython_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-CNSKILL.zh-CN.md - en-USSKILL.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.jsonconfig.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).

适合场景

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需要根据任务场景推荐可安装能力包时

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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

96.04%
按下载量换算3,720

安全审计

VirusTotal

可疑

ClawScan

可疑

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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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