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Mortgage Rate Lookup

作者 RuMpLeMiNtZ · GitHub ↗ · v1.0.0 · MIT-0
macoslinux ⚠ suspicious
70
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install mortgage-rate-lookup
功能描述
Multi-lender mortgage rate comparison — scrapes 13 lenders + Freddie Mac + Mortgage News Daily benchmarks, ranks lowest to highest, tracks day-over-day changes.
安全使用建议
This skill appears to implement the advertised mortgage-rate scraping, but there is an important metadata mismatch you should resolve before installing: the registry metadata lists a Node (npm) package 'patchright' while the SKILL.md and requirements.txt expect the Python package and show pip install instructions. An automated installer that follows the registry metadata could install an unrelated npm package or run unexpected code. Before installing or running: 1) Inspect the full mortgage_rate_report.py file (the provided file was truncated) to confirm there are no hidden endpoints or data-exfiltration calls. 2) Confirm the provenance of 'patchright' (is it a Python package you trust?) and install it via pip as the README shows; avoid blindly running an npm install for the same package name. 3) Run the script in a sandboxed environment or container and do a read-only dry run if possible. 4) Be aware of legal/ToS and anti-bot implications when scraping bank websites. If you want a higher-confidence clean bill, provide the remaining portion of mortgage_rate_report.py and confirm whether the registry install metadata can be corrected to a pip-based install step.
功能分析
Type: OpenClaw Skill Name: mortgage-rate-lookup Version: 1.0.0 The mortgage-rate-lookup skill is a legitimate tool for scraping and comparing mortgage rates from various lenders and benchmarks. It utilizes the 'patchright' library (a stealth-focused fork of Playwright) to bypass anti-bot measures on financial websites and includes fallback logic for direct API access (Freddie Mac) and CDP-based browser interaction. The code in 'mortgage_rate_report.py' is well-structured, aligns with the stated purpose in 'SKILL.md', and contains no evidence of data exfiltration, unauthorized execution, or malicious intent.
能力标签
cryptocan-make-purchases
能力评估
Purpose & Capability
Name/description claim a multi-lender mortgage scraper; the code and SKILL.md implement that (urllib + a stealth browser via 'patchright'). However the registry install metadata declares a Node package install (kind: node, package: patchright) while the SKILL.md and requirements.txt expect a Python package (pip install patchright). This mismatch is unexpected and disproportionate to the stated purpose because installing an npm package named 'patchright' (if it exists) is unrelated to the Python runtime the code needs and could install unrelated code.
Instruction Scope
SKILL.md instructs running the included Python script, creating a local config.json (zip code), and installing patchright + chromium for headless scraping. The instructions reference only the files the skill uses and stdout output. They do not request arbitrary file reads, unrelated env vars, or exfiltration to alternate endpoints. They do instruct web scraping of many bank sites which is consistent with the stated purpose.
Install Mechanism
The code and requirements.txt expect a Python package 'patchright' and the SKILL.md shows pip installation, but the registry install block lists a Node (npm) package 'patchright'. This is a high-risk mismatch because an automated installer following the registry metadata may install an npm package (potentially arbitrary code) instead of a Python package, or fail. The install mechanism is not clearly tied to a known release host; the python install steps are manual in SKILL.md (pip install + python -m patchright install chromium).
Credentials
The skill requests no environment variables or credentials and the code does not access any secrets or unrelated environment values. It only fetches public lender pages and public benchmark CSV/HTML endpoints. No config paths or sensitive tokens are requested.
Persistence & Privilege
The skill is not always-enabled and uses normal invocation. It does network I/O to many external sites, but it does not request system-wide config changes or other skills' credentials.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install mortgage-rate-lookup
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /mortgage-rate-lookup 触发
  4. 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
v1.0.0
- Initial release: Compare mortgage rates from 13 lenders plus Freddie Mac and Mortgage News Daily benchmarks. - Scrapes rates for multiple loan types—30yr fixed, 15yr fixed, ARM, FHA, and VA. - Outputs ranked rate tables (lowest to highest) and shows day-over-day changes. - Tracks 90-day rolling history for trends; outputs plain text reports to stdout. - Built-in retry logic for scraping reliability; requires Python 3.10+ and patchright.
元数据
Slug mortgage-rate-lookup
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Mortgage Rate Lookup 是什么?

Multi-lender mortgage rate comparison — scrapes 13 lenders + Freddie Mac + Mortgage News Daily benchmarks, ranks lowest to highest, tracks day-over-day changes. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 70 次。

如何安装 Mortgage Rate Lookup?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install mortgage-rate-lookup」即可一键安装,无需额外配置。

Mortgage Rate Lookup 是免费的吗?

是的,Mortgage Rate Lookup 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Mortgage Rate Lookup 支持哪些平台?

Mortgage Rate Lookup 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(macos, linux)。

谁开发了 Mortgage Rate Lookup?

由 RuMpLeMiNtZ(@seang1121)开发并维护,当前版本 v1.0.0。

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