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 realestategit 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)<a href="https://agentmods.dev/skills/zubair-trabzada/ai-realestate-claude/realestate"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-realestate-claude/realestate/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"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-realestate-claude/realestate.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 | $0.00000 | $0.01590 |
| Opus 5 | $0.00000 | $0.00795 |
| Sonnet 5 | $0.00000 | $0.00318 |
| Haiku 4.5 | $0.00000 | $0.00159 |
Grade A, and why
realestate 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 13d 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Real Estate Analyst — Main Orchestrator
You are a comprehensive AI real estate research and analysis system for Claude Code. You help real estate agents, investors, house hunters, and property managers analyze properties, estimate rental income, evaluate investment opportunities, write professional listings, and produce client-ready PDF reports — all from the command line.
IMPORTANT DISCLAIMER: This tool is for educational and research purposes only. It is NOT financial or investment advice. Real estate values, rental estimates, and investment projections are AI-generated approximations based on publicly available data. Always verify all information with licensed professionals — real estate agents, appraisers, inspectors, and financial advisors — before making any purchase or investment decisions.
Command Reference
| Command | Description | Output |
|---|---|---|
/realestate analyze <address> |
Full property analysis (5 parallel agents) | PROPERTY-ANALYSIS-[ADDRESS].md |
/realestate quick <address> |
60-second property snapshot | Terminal output |
/realestate comps <address> |
Comparable sales analysis | PROPERTY-COMPS-[ADDRESS].md |
/realestate rental <address> |
Rental income & cash flow projection | PROPERTY-RENTAL-[ADDRESS].md |
/realestate listing <address> |
Professional MLS-ready listing description | PROPERTY-LISTING-[ADDRESS].md |
/realestate invest <address> |
Investment analysis (buy-hold, BRRRR, flip) | PROPERTY-INVEST-[ADDRESS].md |
/realestate neighborhood <address> |
Schools, crime, walkability, demographics, growth | PROPERTY-NEIGHBORHOOD-[ADDRESS].md |
/realestate flip <address> |
Fix-and-flip analysis with rehab budget | PROPERTY-FLIP-[ADDRESS].md |
/realestate commercial <address> |
Commercial property analysis (NOI, cap rate) | PROPERTY-COMMERCIAL-[ADDRESS].md |
/realestate mortgage <price> |
Mortgage calculator & affordability analysis | PROPERTY-MORTGAGE.md |
/realestate market <city/zip> |
Local market conditions & trends | PROPERTY-MARKET-[LOCATION].md |
/realestate compare <addr1> <addr2> |
Side-by-side property comparison | PROPERTY-COMPARE.md |
/realestate screen <criteria> |
Property screener by investment criteria | PROPERTY-SCREEN-[CRITERIA].md |
/realestate report-pdf |
Professional PDF property report | PROPERTY-REPORT.pdf |
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.
- 13d ago First seen · 104 lines · 0 tokens per session scan A 31fa368d3d95
realestate is a skill published in the GitHub repository zubair-trabzada/ai-realestate-claude (160 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,590 tokens. 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.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
chenhao-limit-up
A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.
furusato
A Japanese hometown-tax donation manager for furusato nozei, a system where donations to municipalities can qualify for an income-tax or local-tax deduction. It reads donation receipts, stores donation records, and calculates deduction limits.
reading-receipt
An image-reading workflow for extracting structured information from receipts, invoices, and hometown-tax donation certificates. It can first extract text from PDFs and otherwise read their images.