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 Aznatkoiny/zAI-Skills --skill real-estate-investmentgit clone --depth 1 https://github.com/Aznatkoiny/zAI-SkillsWrote 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/aznatkoiny/zai-skills/real-estate-investment)<a href="https://agentmods.dev/skills/aznatkoiny/zai-skills/real-estate-investment"><img src="https://agentmods.dev/badge/skills/aznatkoiny/zai-skills/real-estate-investment/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/aznatkoiny/zai-skills/real-estate-investment"><img src="https://agentmods.dev/badge/skills/aznatkoiny/zai-skills/real-estate-investment.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 | $0.00197 | $0.02458 |
| Opus 5.5 | $0.00079 | $0.00983 |
| Sonnet 5.5 | $0.00039 | $0.00492 |
| Haiku 4.5 | $0.00020 | $0.00246 |
Grade A, and why
real-estate-investment 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 1mo 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 — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Real Estate Investment Analysis
Comprehensive real estate investment analysis — from deal screening through financial modeling to investor-ready output. Covers all property types, standard and advanced metrics, code generation, and tax-aware structuring.
Analysis Workflow
Follow this 6-step process for any deal or market analysis:
- Define scope — Identify property type, investment strategy, and target output format
- Gather data — Collect property financials, market data, and comps (use API reference if automating)
- Build pro forma — Construct income statement: Gross Rent → Vacancy → EGI → OpEx → NOI → Debt Service → Cash Flow
- Calculate returns — Apply appropriate metrics (see Quick Reference below)
- Stress test — Run sensitivity analysis, scenarios, or Monte Carlo simulation
- Report — Generate investor-ready output with recommendations
Quick Reference — Core Metrics
| Metric | Formula | Typical Range |
|---|---|---|
| NOI | Effective Gross Income - Operating Expenses | Varies by asset |
| Cap Rate | NOI / Property Value | 4-10% (market-dependent) |
| Cash-on-Cash | Annual Pre-Tax Cash Flow / Total Cash Invested | 8-12% target |
| DSCR | NOI / Annual Debt Service | 1.2x+ (lender minimum) |
| IRR | Discount rate zeroing NPV of all cash flows | 15-20% target |
| Equity Multiple | Total Distributions / Total Capital Invested | 2.0x+ over hold |
| GRM | Property Price / Annual Gross Rent | 8-15 (lower = better) |
| Break-even Occ. | (OpEx + Debt Service) / Potential Gross Income | <85% preferred |
For complete formulas, Python code, and Excel equivalents → load references/financial-metrics.md
Property Type Router
Select the analysis framework based on property type:
| Property Type | Key Metrics | Rules of Thumb | Reference |
|---|---|---|---|
| SFR / Small Multi (1-4) | CoC, Cap Rate, DSCR | 1% rule, 50% rule, 70% rule | references/property-types.md §Residential |
| BRRRR | ARV, Rehab ROI, Refi LTV | 70% rule: Max buy = 70% ARV - repairs | references/property-types.md §Residential |
| House Hack | Effective housing cost, FHA terms | 3.5% down FHA, self-sufficiency test | references/property-types.md §Residential |
| Large Multifamily (5+) | Per-unit metrics, NOI, Cap Rate | OpEx ratio 35-45% | references/property-types.md §Commercial |
| Commercial (Office/Retail) | Per-SF metrics, lease analysis | NNN vs Gross lease impact | references/property-types.md §Commercial |
| Short-Term Rental | RevPAR, ADR, Occupancy | Revenue = ADR x Occ x 365 - fees | references/property-types.md §STR |
| Land / Development | Absorption rate, dev pro forma | Total cost vs projected value | references/property-types.md §Land |
What ships with it
9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/advanced-analysis.md 25 KB
- references/financial-metrics.md 21 KB
- references/market-analysis.md 17 KB
- references/property-types.md 31 KB
- references/tax-strategy.md 32 KB
- scripts/monte_carlo.py 6.9 KB runs code
- scripts/pro_forma.py 11 KB runs code
- scripts/sensitivity.py 4.9 KB runs code
- scripts/waterfall.py 12 KB runs code
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.
- 1mo ago First seen · 159 lines · 197 tokens per session scan A 99f4296ef2e5
real-estate-investment is a skill published in the GitHub repository Aznatkoiny/zAI-Skills (10 stars, last pushed 2mo ago), licensed MIT. It adds 197 tokens to every session and 2,458 once invoked, about $0.0008 per session on Opus 5.5. 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 2026-09-03.
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