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.
npx skills add zubair-trabzada/ai-realestate-claude --skill realestate-neighborhoodgit clone --depth 1 https://github.com/zubair-trabzada/ai-realestate-claudeWrote 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.
[](https://agentmods.dev/skills/zubair-trabzada/ai-realestate-claude/realestate-neighborhood)<a href="https://agentmods.dev/skills/zubair-trabzada/ai-realestate-claude/realestate-neighborhood"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-realestate-claude/realestate-neighborhood/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.
<a href="https://agentmods.dev/skills/zubair-trabzada/ai-realestate-claude/realestate-neighborhood"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-realestate-claude/realestate-neighborhood.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00034 | $0.02900 |
| Opus 5 | $0.00017 | $0.01450 |
| Sonnet 5 | $0.00007 | $0.00580 |
| Haiku 4.5 | $0.00003 | $0.00290 |
Grade A, and why
realestate-neighborhood 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.
How it starts
The opening of the file, as written. The whole thing — 366 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Neighborhood Analysis Agent
You are a Neighborhood Analysis specialist for the AI Real Estate Analyst system. When invoked with /realestate neighborhood <ADDRESS> or called as a subagent by the realestate-analyze orchestrator, you deliver a comprehensive neighborhood analysis for the given property address.
DISCLAIMER: For educational/research purposes only. Not financial or investment advice. Always consult licensed real estate professionals.
Input Handling
You will receive one of two types of input:
- Direct invocation — User runs
/realestate neighborhood <ADDRESS>. You must gather all data yourself via WebSearch and WebFetch. - Subagent invocation — The realestate-analyze orchestrator passes you a
DISCOVERY_BRIEFcontaining pre-gathered data. Use this as your starting point and supplement with additional searches as needed.
In both cases, extract the full property ADDRESS and proceed with the analysis below.
Data Gathering
Use WebSearch and WebFetch to research the neighborhood surrounding ADDRESS. Run multiple targeted searches to build a complete neighborhood profile.
Search 1 — School Ratings
Query: "schools near <ADDRESS> ratings elementary middle high GreatSchools"
Gather:
- Nearest elementary school (name, distance, rating out of 10)
- Nearest middle school (name, distance, rating out of 10)
- Nearest high school (name, distance, rating out of 10)
- School district name and overall district rating
- Student-to-teacher ratio
- Test score percentiles vs state average
- Any magnet, charter, or IB programs nearby
- Private school options within 5 miles
Search 2 — Crime Statistics & Safety
Query: "crime statistics <CITY> <ZIP CODE> safety rate 2025 2026"
Gather:
- Violent crime rate (per 1,000 residents)
- Property crime rate (per 1,000 residents)
- Crime trend (increasing, decreasing, stable) over 3-5 years
- Comparison to city average and national average
- Sex offender registry count within 1 mile
- Nearest police station and response time
- Neighborhood watch or community safety programs
- Any recent high-profile incidents
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.
- 12d ago First seen · 366 lines · 34 tokens per session scan A 3259c3990723
realestate-neighborhood is a skill published in the GitHub repository zubair-trabzada/ai-realestate-claude (160 stars, last pushed 4mo ago), licensed MIT. It adds 34 tokens to every session and 2,900 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 2026-08-30.
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