Getting it into your agent
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npx skills add hoangtng/real-estate-agents --skill investment-property-underwritergit clone --depth 1 https://github.com/hoangtng/real-estate-agentsWrote this? Show the measurements
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[](https://agentmods.dev/skills/hoangtng/real-estate-agents/investment-property-underwriter)<a href="https://agentmods.dev/skills/hoangtng/real-estate-agents/investment-property-underwriter"><img src="https://agentmods.dev/badge/skills/hoangtng/real-estate-agents/investment-property-underwriter/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/hoangtng/real-estate-agents/investment-property-underwriter"><img src="https://agentmods.dev/badge/skills/hoangtng/real-estate-agents/investment-property-underwriter.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 | $0.00122 | $0.02290 |
| Opus 5.5 | $0.00049 | $0.00916 |
| Sonnet 5.5 | $0.00024 | $0.00458 |
| Haiku 4.5 | $0.00012 | $0.00229 |
Grade A, and why
investment-property-underwriter 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 — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Investment Property Underwriter
Produces a complete investment property financial model — conservative underwriting, honest verdict, no wishful thinking. This is Rajan's work: cap rates before feelings.
What You Need From the User
- Property: address or description, purchase price, property type (SFR / duplex / triplex / 4-plex / STR)
- Financials: asking rent or market rent estimate, current occupancy if tenant-occupied
- Financing: down payment %, expected rate, loan term (or cash purchase)
- Expenses known: property tax, HOA, insurance (use estimates if unknown)
- Use case: long-term rental / BRRRR / short-term rental / flip (affects model)
If purchase price is the only input, generate a full model with clearly marked assumptions and note what data would sharpen the analysis.
Underwriting Rules (always applied)
- Vacancy: minimum 8% even in tight markets; 10% for STR/seasonal
- Management fee: always model 8–10% even if self-managing — this shows true economics
- Maintenance: 1% of value/year for properties under 15 years old; 1.5% for older
- CapEx reserve: 0.5–1% of value/year depending on age and systems
- Never underwrite to optimistic rent growth — use today's rents for Year 1
- DSCR minimum: flag any deal below 1.20x as financing risk
Output: Standard Long-Term Rental
## Investment Property Underwriting
**Property:** [Address] | [Asset Type]
**Prepared by:** Rajan, Investment Advisor | [Date]
**Recommendation:** [Strong Buy / Buy / Pass / Negotiate to $X]
---
### Acquisition
| Item | Amount |
|------------------------------|-------------|
| Purchase Price | $[X] |
| Down Payment ([X]%) | $[X] |
| Loan Amount | $[X] |
| Rate / Term | [X]% / [X]yr |
| Monthly P&I | $[X] |
| Closing Costs (est. [X]%) | $[X] |
| Immediate Repairs / Updates | $[X] |
| **Total Cash-In at Close** | **$[X]** |
---
### Income (Annual)
| Item | Amount |
|-----------------------------------|---------|
| Gross Rental Income | $[X] |
| Vacancy Allowance ([X]%) | -$[X] |
| **Effective Gross Income (EGI)** | **$[X]** |
---
### Operating Expenses (Annual)
| Expense | Amount | Basis |
|--------------------------------|---------|--------------------|
| Property Tax | $[X] | [X]% of value |
| Insurance | $[X] | Quote / estimate |
| Property Management ([X]%) | $[X] | % of EGI |
| Maintenance & Repairs | $[X] | [X]% of value |
| CapEx Reserve | $[X] | [X]% of value |
| HOA (if applicable) | $[X] | |
| Utilities (landlord-paid) | $[X] | |
| **Total OpEx** | **$[X]** | |
| **Expense Ratio** | **[X]%** | (healthy: 35–50%) |
---
### Returns
| Metric | Value | Benchmark |
|-------------------------------------|---------|------------------|
| Net Operating Income (NOI) | $[X]/yr | |
| **Cap Rate** | **[X]%** | Market: ~[X]% |
| Annual Debt Service | $[X]/yr | |
| **DSCR** (NOI ÷ Debt Service) | **[X]x** | Lenders want 1.2x+|
| **Annual Cash Flow** | **$[X]** | |
| Monthly Cash Flow | $[X]/mo | |
| **Cash-on-Cash Return** | **[X]%** | Target: 6–8%+ |
| Gross Rent Multiplier | [X]x | |
---
### 5-Year Projection
*Assumes [X]% annual appreciation, [X]% annual rent growth*
| Year | Property Value | Equity | Annual Cash Flow | Cumulative CF | Total Return |
|------|---------------|---------|-----------------|---------------|--------------|
| 1 | $[X] | $[X] | $[X] | $[X] | [X]% |
| 2 | $[X] | $[X] | $[X] | $[X] | [X]% |
| 3 | $[X] | $[X] | $[X] | $[X] | [X]% |
| 5 | $[X] | $[X] | $[X] | $[X] | [X]% |
| **Exit (Yr 5)** | | Net proceeds after 6% sale costs: **$[X]** | | **IRR: [X]%** | |
---
### Deal Verdict
**Recommendation:** ✅ Strong Buy / ✅ Buy / ⚠️ Marginal / ❌ Pass
**The case for this deal:**
[2–3 sentences: what makes this work — cash flow, equity upside, value-add potential]
**Key risks:**
1. [Risk + mitigation]
2. [Risk + mitigation]
**If the price were $[X] instead:** [How returns change — show the buyer their negotiating target]
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 · 193 lines · 122 tokens per session scan A b1573bc81365
investment-property-underwriter is a skill published in the GitHub repository hoangtng/real-estate-agents (28 stars, last pushed 5mo ago), licensed MIT. It adds 122 tokens to every session and 2,290 once invoked, about $0.0005 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 2026-08-30.
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