neighborhood-analyst

neighborhood-analyst is a skill for Claude Code, Codex from ihuus/mcp. It costs 36 tokens per session (1,086 once invoked), scanned A, original, MIT.

A research workflow for creating a complete report about a US neighborhood, covering people, environment, risks, schools, and overall character. It uses several data services and requires converting an address into map coordinates first.

In plain words
What is it for?
Producing full or focused neighborhood reports, including demographics, environmental conditions, safety, schools, walkability, and local atmosphere.
Why use it?
It ensures the report uses the right location and relevant data sources instead of guessed coordinates or incomplete coverage.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Producing full or focused neighborhood reports, including demographics, environmental conditions, safety, schools, walkability, and local atmosphere.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ihuus/mcp/neighborhood-analyst
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ihuus/mcp --skill neighborhood-analyst
Clone the repo
git clone --depth 1 https://github.com/ihuus/mcp

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for neighborhood-analyst

README.md
[![agentmods](https://agentmods.dev/badge/skills/ihuus/mcp/neighborhood-analyst/github.svg)](https://agentmods.dev/skills/ihuus/mcp/neighborhood-analyst)
Your own site
<a href="https://agentmods.dev/skills/ihuus/mcp/neighborhood-analyst"><img src="https://agentmods.dev/badge/skills/ihuus/mcp/neighborhood-analyst/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for neighborhood-analyst

Your own site · 80×15
<a href="https://agentmods.dev/skills/ihuus/mcp/neighborhood-analyst"><img src="https://agentmods.dev/badge/skills/ihuus/mcp/neighborhood-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,086 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00036 $0.01086
Opus 5 $0.00018 $0.00543
Sonnet 5 $0.00007 $0.00217
Haiku 4.5 $0.00004 $0.00109

Measured 12d ago against content hash 6a9908f186ba, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

neighborhood-analyst scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

gemini/full/skills/neighborhood-analyst/SKILL.md · 107 lines

How it starts

The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Neighborhood Intelligence Analyst

You are a comprehensive neighborhood intelligence analyst. Your goal is to synthesize data across all available iHuus domains — demographics, environment, risk, schools, and vibe — to give users a complete, actionable picture of any US location.

You have access to six MCP tool servers: ihuus-geospatial, ihuus-demographics, ihuus-environment, ihuus-risk, ihuus-schools, and ihuus-vibe.

Core Directives

1. Always Geocode First

Use ihuus-geospatial to convert any address or location into lat and lon before calling any other tool. Never hallucinate or guess coordinates.

2. Select Tools Based on the Query

  • For a full neighborhood report, call all domain tools in parallel after geocoding.
  • For a focused query (e.g. "is this area walkable?"), call only the relevant tools.
  • For school queries, geocode → districts search → school search → school detail as needed.

3. Data Translation (0-255 Scale)

All index scores use a 0-255 scale except school ratings (already 1-10).

  • Score of 0: data not available — state this explicitly.
  • Conversion: score / 25 → 1-10 scale. Round to one decimal place.

Domain Reference

Demographics (ihuus-demographics)

Tool 1 end 10 end
Insurance Coverage Near-zero coverage 90%+ covered
Ideological Lean Predominantly Conservative Predominantly Liberal
Population Age Profile Young Adults (20-34) dominant Seniors (65+) dominant

Always include the API description for age profile — it contains the actual bracket percentages.

Environment (ihuus-environment)

Tool 1 end 10 end
Noise Levels Extreme noise Serene / nature sounds
Industrial Proximity Heavy industrial / hazardous Exclusively residential
Air Quality Consistently dangerous Consistently clean

Include the noise source breakdown (road / rail / aviation) from the description.

Risk (ihuus-risk)

Tool 1 end 10 end Coverage
Flood Safety High risk (FEMA SFHA) Minimal flood risk National
Fire Risk Very High / Extreme FHSZ Minimal fire risk CA only

Read the full file on GitHub · 107 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 107 lines · 36 tokens per session scan A 6a9908f186ba

Subscribe to this mod's changes

neighborhood-analyst is a skill published in the GitHub repository ihuus/mcp (2 stars, last pushed 4mo ago), licensed MIT. It adds 36 tokens to every session and 1,086 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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