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Install in OpenClaw
/install gov-environment
Description
EPA air quality data and HUD foreclosure listings. 2 tools for environmental and housing intelligence.
README (SKILL.md)
Environmental & Housing Intel
Real-time EPA air quality data and HUD foreclosure listings.
Setup
mcporter add gov-env --url https://environmental-compliance-mcp.apify.actor/mcp --transport streamable-http
Or add to your OpenClaw MCP config (~/.openclaw/mcp.json):
{
"servers": {
"gov-env": {
"url": "https://environmental-compliance-mcp.apify.actor/mcp",
"transport": "streamable-http"
}
}
}
Available Tools
env_get_air_quality
Get EPA AirNow air quality data by state, AQI range, and pollutant type.
Show air quality for California
Any unhealthy air quality readings right now?
Parameters: states (array), minAqi, maxAqi, categories (array), parameters (array), limit
env_search_hud_foreclosures
Search HUD foreclosure listings by state, zip code, price range, and bedrooms.
Show HUD foreclosures in Texas
Find foreclosures under $100,000 in Florida
Parameters: state, zipCode, minPrice, maxPrice, bedrooms, limit
Data Sources
- EPA AirNow — Environmental Protection Agency (air quality index)
- HUD — Department of Housing and Urban Development (foreclosure listings)
Use Cases
- Air quality monitoring
- Health and safety planning
- Real estate investment research
- Environmental compliance tracking
All data from free US government APIs. Zero cost. No API keys required.
Usage Guidance
This skill appears to provide the advertised EPA/HUD data, but it does so by instructing your agent to add a third-party MCP endpoint (environmental-compliance-mcp.apify.actor). Before installing, verify the external service: review the referenced GitHub repo and the apify actor, confirm you trust that endpoint, and understand what data will be sent there. If you prefer not to route queries through a proxy, consider implementing a skill that calls the official EPA/HUD APIs directly or run the mcporter command manually and inspect `~/.openclaw/mcp.json` before accepting the change. If you handle sensitive prompts or PII, avoid registering unknown external MCP servers or sandbox network access while you vet the service.
Capability Analysis
Type: OpenClaw Skill
Name: gov-environment
Version: 1.0.0
The skill bundle consists of metadata and a markdown file describing two tools and their setup. It instructs the OpenClaw agent to connect to an external service hosted on `apify.actor` via `mcporter`. There is no executable code, no evidence of prompt injection in `SKILL.md`, and no indicators of data exfiltration, malicious execution, persistence, or obfuscation within the provided files. The reliance on an external service is central to the skill's stated purpose and does not, by itself, indicate malicious intent.
Capability Assessment
Purpose & Capability
The name/description (EPA air quality + HUD foreclosures) matches the declared tools and parameters. Requesting the mcporter binary is coherent if the agent needs to register MCP servers. However the skill routes calls through a third-party MCP server (environmental-compliance-mcp.apify.actor) rather than calling government APIs directly; that proxying is not explained and is notable.
Instruction Scope
SKILL.md tells the agent to run `mcporter add ...` or to edit `~/.openclaw/mcp.json` to add the remote server. The instructions therefore modify a user config file and will direct queries to an external apify.actor endpoint. The skill does not instruct reading any unrelated local files or env vars, but the implicit change to the MCP config (a user-level config path) is not declared in the skill metadata and may persistently redirect agent traffic.
Install Mechanism
This is an instruction-only skill with no install spec or code files, so nothing is written by the skill itself. That is the lowest-risk install model. The only runtime dependency declared is the mcporter binary, which is reasonable for registering MCP servers.
Credentials
No environment variables or credentials are requested, which is appropriate. However, the skill's runtime relies on a remote third-party MCP service (apify.actor) to fulfill queries; this means user queries and potentially query context will be sent to that external host — a privacy/consent consideration even though no secrets are requested.
Persistence & Privilege
The SKILL.md explicitly shows adding an entry to `~/.openclaw/mcp.json`, which will persistently register a remote server for future agent runs. The skill itself does not request always:true or system-level privileges, but it does instruct a persistent modification to the user's agent config. That persistent registration increases the blast radius if the remote endpoint is untrusted.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install gov-environment - After installation, invoke the skill by name or use
/gov-environment - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
gov-environment 1.0.0
- Initial release providing two tools: real-time EPA AirNow air quality data and HUD foreclosure listing search.
- Query air quality by state, AQI, and pollutant; search HUD foreclosure listings by location, price, and bedrooms.
- Simple setup via mcporter or OpenClaw MCP configuration.
- Uses free US government data sources—no API keys required.
Metadata
Frequently Asked Questions
What is Gov Environment?
EPA air quality data and HUD foreclosure listings. 2 tools for environmental and housing intelligence. It is an AI Agent Skill for Claude Code / OpenClaw, with 372 downloads so far.
How do I install Gov Environment?
Run "/install gov-environment" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Gov Environment free?
Yes, Gov Environment is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Gov Environment support?
Gov Environment is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Gov Environment?
It is built and maintained by Martin (@martc03); the current version is v1.0.0.
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