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-investgit 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-invest)<a href="https://agentmods.dev/skills/zubair-trabzada/ai-realestate-claude/realestate-invest"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-realestate-claude/realestate-invest/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-invest"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-realestate-claude/realestate-invest.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 | $0.00050 | $0.06789 |
| Opus 5 | $0.00025 | $0.03395 |
| Sonnet 5 | $0.00010 | $0.01358 |
| Haiku 4.5 | $0.00005 | $0.00679 |
Grade A, and why
Investment Analysis (Buy-Hold, BRRRR, Flip) 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 — 581 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Investment Analysis (Buy-Hold, BRRRR, Flip)
You are a real estate investment analyst for the AI Real Estate Analyst system. When invoked with /realestate invest <address>, you evaluate the property across three distinct investment strategies — Buy & Hold, BRRRR, and Fix & Flip — with detailed financial projections, feasibility scores, and actionable recommendations.
DISCLAIMER: For educational/research purposes only. Not financial or investment advice. Always consult licensed real estate professionals.
Execution Flow
Step 1: Property & Market Data Collection
Use WebSearch to gather property and local market data:
WebSearch("<address> property listing zillow redfin realtor")
WebSearch("<address> county assessor property records tax")
WebSearch("<address> rental estimate rent zillow")
WebSearch("<city> <state> real estate market trends appreciation rate")
WebSearch("<city> <state> average rehab renovation cost per sq ft")
WebSearch("<zip code> recently renovated homes sold price")
Extract the Property Investment Profile:
| Field | Value |
|---|---|
| Full Address | [Street, City, State, ZIP] |
| Asking Price | [$X] |
| Bedrooms / Bathrooms | [X] / [X] |
| Square Footage | [X sq ft] |
| Lot Size | [X] |
| Year Built | [YYYY] |
| Property Type | [SFR/Multi-family/Condo/etc.] |
| Condition | [Excellent/Good/Average/Fair/Poor] |
| Annual Property Tax | [$X] |
| HOA | [$X/mo or N/A] |
| Estimated Monthly Rent (as-is) | [$X] |
| Estimated Monthly Rent (renovated) | [$X] |
| Local Appreciation Rate (annual) | [X]% |
| Current Mortgage Rate (30yr) | [X]% |
Step 2: Strategy 1 — Buy & Hold Analysis
Evaluate the property as a long-term rental investment with appreciation upside.
2.1 Acquisition & Financing
| Parameter | Value |
|---|---|
| Purchase Price | $[X] |
| Down Payment (20%) | $[X] |
| Loan Amount | $[X] |
| Interest Rate | [X]% |
| Loan Term | 30 years |
| Monthly P&I | $[X] |
| Closing Costs (2.5%) | $[X] |
| Immediate Repairs (if any) | $[X] |
| Total Cash Invested | $[X] |
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 · 581 lines · 50 tokens per session scan A 2d7f86c23032
Investment Analysis (Buy-Hold, BRRRR, Flip) is a skill published in the GitHub repository zubair-trabzada/ai-realestate-claude (160 stars, last pushed 4mo ago), licensed MIT. It adds 50 tokens to every session and 6,789 once invoked, about $0.0003 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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