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pipeworx-housing-analystPipeworx 住房分析师

Agent Skill

pipeworx-housing-analyst 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

2,258

周安装

96

GitHub Stars

公开资料未说明

下载量

791
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:pipeworx-housing-analyst(Pipeworx 住房分析师)
来源仓库:https://github.com/brucegutman/pipeworx-housing-analyst
安装命令:
openclaw skills install pipeworx-housing-analyst
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 pipeworx-housing-analyst

简介

通过结合来自 FRED、BLS、ATTOM 和 HUD API 的数据,提供国家和地方住房市场分析,以获得全面的房地产和市场洞察。

SKILL.md

Pipeworx Housing Analyst

Housing Intel MCP — Meta-pack that chains FRED, BLS, ATTOM, and HUD APIs

Setup

{
  "mcpServers": {
    "housing-intel": {
      "url": "https://gateway.pipeworx.io/mcp?task=housing%20analysis"
    }
  }
}

Compound tools (start here)

These combine multiple data sources into one call:

ToolDescription
housing_market_snapshotGet a national housing market snapshot — 30-year mortgage rates, housing starts, Case-Shiller home p
housing_property_reportComplete property analysis combining ATTOM data — property details, automated valuation (AVM), sales
housing_rental_analysisRental market analysis for a property and area — estimated rent (ATTOM), fair market rents (HUD, if
housing_affordability_checkCheck housing affordability metrics — current mortgage rate (national), median home price (national)
housing_employment_outlookLabor market indicators relevant to housing — total nonfarm employment, construction employment, res
housing_signal_scanComprehensive housing market signal scan — checks 45+ indicators for reversals, unusual moves, accel

Individual tools

For granular queries, these are also available:

ToolDescription
fred_get_seriesGet observations (data points) for a FRED series. Key housing series: MORTGAGE30US (30-year mortgage
fred_searchSearch for FRED series by keyword. Useful for discovering series IDs for housing, employment, inflat
fred_series_infoGet metadata about a FRED series: title, units, frequency, seasonal adjustment, notes, and date rang
fred_categoryBrowse FRED categories. Use category_id=0 for the root. Useful for exploring available data by topic
fred_releasesGet the latest FRED data releases. Shows upcoming and recent releases of economic data.
bls_get_seriesGet time series data from the Bureau of Labor Statistics for one or more series. Supports employment
bls_searchSearch for BLS series IDs by keyword from a curated catalog of popular housing, employment, wages, p
bls_latestGet just the most recent data point for a BLS series. Useful for quick current-value lookups.
bls_popular_seriesList all curated popular BLS series with IDs and descriptions, organized by category (housing, emplo
attom_property_detailGet full property characteristics by address — lot size, square footage, bedrooms, bathrooms, year b
attom_property_searchSearch properties by location with optional filters. Search by postal code or by latitude/longitude
attom_sales_historyGet complete sales history for a property (up to 10 years) — sale dates, prices, deed types, seller/
attom_avmGet automated valuation (AVM) for a property — estimated market value, confidence score, value range
attom_assessmentGet property tax assessment details — assessed value, market value, tax amount, tax year, and assess
attom_sales_trendGet market sales trends by ZIP code — average/median sale price, volume, and price changes over time

Data sources

  • Fred: FRED MCP — Federal Reserve Economic Data (St. Louis Fed)
  • Bls: BLS MCP — Bureau of Labor Statistics public data API (v2)
  • Attom: ATTOM MCP — Premium real estate data from ATTOM Data Solutions
  • Hud: HUD MCP — U.S. Department of Housing and Urban Development APIs.

Tips

  • Start with compound tools — they handle errors and combine data automatically
  • Use ask_pipeworx if you're unsure which tool to use
  • Use remember/recall to save intermediate findings

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

94.27%
按下载量换算746

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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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