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在 OpenClaw 中安装
/install rental-helper
功能描述
租房助手 - 帮助用户记录房源信息、计算租房预算、生成对比表格、提供租房避坑指南、智能推荐房源、批量导入、网页解析、图片识别、网站抓取。使用场景:(1) 记录和筛选房源信息 - 说"记录一个新房源"或"查看我的房源列表";(2) 计算租房预算 - 说"帮我算一下租房预算"或"这个房子每月要花多少钱";(3) 生成...
安全使用建议
This skill is internally coherent for managing and scraping rental listings, but review the following before installing/using: 1) Local storage: scraped data, contacts and phone numbers are saved to ~/.openclaw/workspace/rental-data — treat that as potentially sensitive personal data and back it up or secure it appropriately. 2) SSL verification: crawl_listings.py intentionally disables SSL certificate verification (ssl._create_default_https_context = ssl._create_unverified_context) which weakens network security and can expose you to MITM attacks when fetching pages — consider removing that line or running the script only on trusted networks. 3) Webdriver/runtime downloads: selenium + webdriver-manager will download browser drivers at runtime; verify these components and run in a trusted environment. 4) Interactive login: crawl_interactive.py asks you to login in a real browser (QR/code). Do not paste credentials into the skill — perform the login in the browser as instructed. 5) Dependencies: OCR and scraping require external packages (pytesseract, easyocr, tesseract, selenium); install them from trusted package sources and verify versions. 6) Legal/ToS: scraping sites may violate target sites' terms of service — use responsibly and respect robots.txt. If you want higher assurance, ask for the omitted files to be reviewed or run the code in an isolated environment (container/VM) before giving it regular access to your data.
功能分析
Type: OpenClaw Skill
Name: rental-helper
Version: 1.3.0
The skill bundle provides a comprehensive rental management system with high-risk capabilities, including web scraping and automated browser control. Specifically, 'scripts/crawl_listings.py' and 'scripts/crawl_selenium.py' target major Chinese rental platforms (ke.com, lianjia.com, 58.com, anjuke.com), while 'scripts/crawl_interactive.py' uses Selenium to open a browser and prompts the user to perform manual logins. While these features align with the stated purpose of a rental assistant, the inclusion of automated scraping, OCR ('scripts/parse_image.py'), and the bypassing of SSL verification ('scripts/crawl_listings.py') are considered high-risk behaviors in an agentic environment. No clear evidence of malicious intent or data exfiltration was found.
能力评估
Purpose & Capability
The name/description match the included scripts: listing add/list, recommendation, budget calc, OCR, URL parsing and site scraping. All declared capabilities are implemented by the scripts and no unrelated services or credentials are required.
Instruction Scope
SKILL.md instructs the agent to call local scripts, accept user-provided URLs/images/CSV files, and save data; it also explains interactive browser login for scraping. The instructions do not ask for extra environment secrets or to read unrelated system files. Note: the scripts perform network requests to target listing sites and may prompt the user to login in a real browser (the browser login happens on the user's machine, not inside the skill).
Install Mechanism
There is no formal install spec (instruction-only), but several scripts recommend installing dependencies (selenium, webdriver-manager, pytesseract/easyocr). At runtime webdriver-manager will download browser driver binaries; crawl_listings.py disables SSL certificate verification for fetching pages (see next dimension). These are common for scraping but increase runtime network activity and should be reviewed by the user.
Credentials
The skill declares no required environment variables, credentials, or external config paths. Scripts operate on local files under ~/.openclaw/workspace/rental-data which is proportional to the stated purpose of storing listings and viewings.
Persistence & Privilege
always:false and the skill writes only to its own data directory (~/.openclaw/workspace/rental-data). It does not modify other skills or system-wide agent settings. Autonomous invocation is allowed (platform default) and appropriate for a user-invoked assistant.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install rental-helper - 安装完成后,直接呼叫该 Skill 的名称或使用
/rental-helper触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.3.0
Add interactive web scraping with login prompt
v1.2.0
Fix encoding issues for Chinese characters in web scraping
v1.1.0
Add property URL and images field to view room environment
v1.0.0
Initial release: property management, smart recommendation, budget calculation, comparison tables, web scraping, and pitfall guide
元数据
常见问题
Rental Helper 是什么?
租房助手 - 帮助用户记录房源信息、计算租房预算、生成对比表格、提供租房避坑指南、智能推荐房源、批量导入、网页解析、图片识别、网站抓取。使用场景:(1) 记录和筛选房源信息 - 说"记录一个新房源"或"查看我的房源列表";(2) 计算租房预算 - 说"帮我算一下租房预算"或"这个房子每月要花多少钱";(3) 生成... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 111 次。
如何安装 Rental Helper?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install rental-helper」即可一键安装,无需额外配置。
Rental Helper 是免费的吗?
是的,Rental Helper 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Rental Helper 支持哪些平台?
Rental Helper 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Rental Helper?
由 sosshuai(@sosshuai)开发并维护,当前版本 v1.3.0。
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