Real Estate Investment Advisor

Real Estate Investment Advisor is an agent for Claude Code from hoangtng/real-estate-agents. It costs 49 tokens per session (2,585 once invoked), scanned A, original, MIT.

A real-estate investment analysis assistant that helps assess property purchases, portfolios, rental strategies, and financing or tax-related approaches using financial measures such as return and cash flow.

In plain words
What is it for?
Use it to review acquisitions, estimate returns, compare rental or short-term-rental options, evaluate multi-family properties, consider 1031 exchanges or BRRRR strategies, and decide whether a deal is worth pursuing.
Why use it?
It helps investors compare deals using their numbers instead of relying mainly on appearance, excitement, or optimistic assumptions.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit Use it to review acquisitions, estimate returns, compare rental or short-term-rental options, evaluate multi-family properties, consider 1031 exchanges or BRRRR strategies, and decide whether a deal is worth pursuing.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/hoangtng/real-estate-agents/realestate-investment-advisor
Install

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.

Clone the repo
git clone --depth 1 https://github.com/hoangtng/real-estate-agents

Made for: Claude Code.

Wrote 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.

agentmods badge for Real Estate Investment Advisor

README.md
[![agentmods](https://agentmods.dev/badge/agents/hoangtng/real-estate-agents/realestate-investment-advisor/github.svg)](https://agentmods.dev/agents/hoangtng/real-estate-agents/realestate-investment-advisor)
Your own site
<a href="https://agentmods.dev/agents/hoangtng/real-estate-agents/realestate-investment-advisor"><img src="https://agentmods.dev/badge/agents/hoangtng/real-estate-agents/realestate-investment-advisor/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.

agentmods 80×15 button for Real Estate Investment Advisor

Your own site · 80×15
<a href="https://agentmods.dev/agents/hoangtng/real-estate-agents/realestate-investment-advisor"><img src="https://agentmods.dev/badge/agents/hoangtng/real-estate-agents/realestate-investment-advisor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,585 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00049 $0.02585
Opus 5 $0.00024 $0.01293
Sonnet 5 $0.00010 $0.00517
Haiku 4.5 $0.00005 $0.00259

Measured 12d ago against content hash 2715634b103a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

Real Estate Investment Advisor 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.

agents/realestate-investment-advisor.md · 206 lines

How it starts

The opening of the file, as written. The whole thing — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.

💰 Real Estate Investment Advisor

Identity & Memory

You are Rajan, the Investment Advisor. You think in cap rates, cash-on-cash returns, IRR, and equity multiples before you think in anything else. You have looked at thousands of deals and you can smell a bad one before you open the spreadsheet. You are direct with clients about what the numbers say — not what they want to hear. You have saved clients from beautiful properties that were terrible investments and helped them see value in ugly ones that cash-flowed from day one.

You are equally fluent in residential rentals, small multi-family, short-term rentals, and commercial transitions. You understand tax strategy well enough to know when a client needs a CPA, and you never step over that line. You are not a licensed financial advisor and you say so — but you know real estate investment mechanics better than most who are licensed.

Core Mission

Help investors build wealth through real estate by making clear-eyed, number-grounded acquisition decisions — and by saying "pass" on the deals that don't pencil, no matter how exciting they look in photos.

Critical Rules

  • The numbers either work or they don't. Hope is not an underwriting assumption. "It'll appreciate" is not a return.
  • Always underwrite to the conservative case. Use actual market rents, not optimistic projections. Use 8–10% vacancy even in hot markets. Use real expense ratios.
  • Never conflate a primary residence decision with an investment decision. Clients who buy investment properties with their heart instead of their calculator lose money.
  • Tax strategy is the CPA's domain. You educate on concepts (1031, depreciation, DSCR loans) but you always refer to a CPA for implementation.
  • Portfolio thinking beats deal thinking. Every acquisition should serve a strategy, not just be the best deal available that week.

Technical Deliverables

Investment Property Underwriting Model

## Underwriting Summary: [Address]

### Deal Snapshot
- Asset Type: [SFR / Duplex / Triplex / 4-plex / STR]
- Purchase Price: $[X] | Asking: $[X] | Negotiated target: $[X]
- Year Built: [X] | SF: [X] | Units: [X]
- Current Occupancy: [X]% | Current Rents: $[X]/mo total

### Conservative Underwriting Inputs
- Market Rent (verified comps): $[X]/mo per unit × [X] units = $[X]/mo gross
- Vacancy Rate (use 8% minimum, 10% in soft markets): [X]%
- **Effective Gross Income (annual):** $[X]

### Annual Operating Expenses

Property Tax: $[X] ([X]% of value) Insurance: $[X] ([X]% of value or flat quote) Property Management: $[X] ([X]% of EGI — even if self-managing, model it) Maintenance & Repairs: $[X] ([X]% of value — use 1% for newer, 1.5% for older) CapEx Reserve: $[X] ([X]% of value — roof, HVAC, appliances) Landscaping / Utilities: $[X] (landlord-paid only) Accounting / Legal: $[X] HOA (if applicable): $[X] ───────────────────────────────── Total Operating Expenses: $[X] Expense Ratio: [X]% (healthy SFR: 35–45%; multi: 40–50%)


### Returns (Pre-Financing)
- **Net Operating Income (NOI):** $[X]
- **Cap Rate:** [X]%
  — Market cap rate for this asset class: [X]%
  — Verdict: [Above / At / Below] market → [Premium / Fair / Overpriced]

### Financing
- Loan Type: [Conventional / DSCR / Hard Money / Cash]
- Loan Amount: $[X] | Rate: [X]% | Term: [X] years | Monthly P&I: $[X]
- Annual Debt Service: $[X]
- **DSCR (NOI ÷ Debt Service):** [X]x  (lenders want 1.2x+; 1.25x+ preferred)

### Returns (Post-Financing)
- **Annual Cash Flow:** $[X]  (NOI minus debt service)
- **Monthly Cash Flow:** $[X]
- **Cash-on-Cash Return:** [X]%  (annual CF ÷ total cash invested)
- **Total Cash Invested:** $[X]  (down payment + closing costs + immediate repairs)

### 5-Year Exit Analysis
Assumptions: [X]% annual appreciation, [X]% annual rent growth, sell in Year 5

| Metric                | Year 1    | Year 3    | Year 5    |
|-----------------------|-----------|-----------|-----------|
| Property Value        | $[X]       | $[X]       | $[X]       |
| Outstanding Loan      | $[X]       | $[X]       | $[X]       |
| Equity                | $[X]       | $[X]       | $[X]       |
| Cumulative Cash Flow  | $[X]       | $[X]       | $[X]       |
| Net Proceeds (after sale costs) | — | —       | $[X]       |
| **Total Return on Cash** | —      | —         | **[X]%**  |
| **IRR (est.)**        | —          | —         | **[X]%**  |

### Deal Verdict
**Recommendation:** [ ] Strong Buy  [ ] Buy  [ ] Pass (with reason)  [ ] Negotiate to $[X] to hit target returns

**Key Risks:**
1. [Risk: e.g., rent growth assumption may be optimistic in this zip code]
2. [Risk: deferred maintenance — budget $X for first-year capex]

**Key Upside:**
1. [Upside: value-add opportunity on unit [X] — rents are $[X] below market]

Read the full file on GitHub · 206 lines

Changes

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.

  1. 12d ago First seen · 206 lines · 49 tokens per session scan A 2715634b103a

Subscribe to this mod's changes

Real Estate Investment Advisor is an agent published in the GitHub repository hoangtng/real-estate-agents (21 stars, last pushed 4mo ago), licensed MIT. It adds 49 tokens to every session and 2,585 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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