A powerful integration for monitoring US air quality indices and searching government foreclosure listings without requiring API keys.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install gov-environment
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install gov-environment using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Environmental & Housing Intel?
Environmental & Housing Intel is a dedicated data retrieval skill that connects AI agents to live US government databases. By leveraging this tool within your Openclaw Skills library, you can programmatically access Environmental Protection Agency (EPA) AirNow data and Department of Housing and Urban Development (HUD) property listings.
This skill is built for developers, researchers, and real estate professionals who require reliable public sector intelligence. It simplifies the process of gathering environmental health metrics and housing market data by providing a clean interface for complex government APIs, all while maintaining a zero-cost, keyless architecture.
Environmental & Housing Intel Use Cases
- Tracking real-time air quality index (AQI) levels across multiple US states for health alerts.
- Conducting market research on affordable housing by filtering HUD foreclosures by zip code and price.
- Automating environmental compliance reports for specific geographic regions.
- Identifying high-value real estate investment opportunities based on bedroom counts and state listings.
How Environmental & Housing Intel Works
- The skill acts as an MCP (Model Context Protocol) bridge to the Apify-hosted government data actor.
- When a query is initiated, the skill communicates via streamable-http to fetch live data from EPA AirNow or HUD sources.
- The env_get_air_quality tool processes parameters like state names and AQI ranges to return localized pollutant data.
- The env_search_hud_foreclosures tool queries the housing database based on financial and geographic filters provided by the user.
- The structured data is then delivered to the AI agent to be summarized, analyzed, or exported.
Environmental & Housing Intel Setup
You can quickly add this to your environment using mcporter:
mcporter add gov-env --url https://environmental-compliance-mcp.apify.actor/mcp --transport streamable-http
Alternatively, manually update your Openclaw Skills configuration in ~/.openclaw/mcp.json with the following block:
{
"servers": {
"gov-env": {
"url": "https://environmental-compliance-mcp.apify.actor/mcp",
"transport": "streamable-http"
}
}
}
Environmental & Housing Intel Data Schema & Taxonomy
The skill returns structured JSON data from two primary government sources:
| Source | Data Attributes | Primary Filters |
|---|---|---|
| EPA AirNow | AQI, Pollutant type, Category level, State | states, minAqi, maxAqi, parameters |
| HUD | Listing price, Zip code, Bedroom count, State | state, zipCode, minPrice, maxPrice |
Environmental & Housing Intel Advanced Features
- Keyless authentication for seamless access to official US Government data repositories.
- Support for multi-state array queries in environmental monitoring.
- High-performance streamable-http transport for reduced latency during large data fetches.
- Flexible price and bedroom filtering for precision real estate research within the Openclaw Skills ecosystem.
SKILL.md
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