real-estate-finance

real-estate-finance is an agent for Claude Code from brainbytes-dev/everything-claude-finance. It costs 35 tokens per session (4,463 once invoked), scanned A, original, MIT.

A real-estate investment analysis agent for valuing properties, studying REITs, planning developments, and assessing property debt. A REIT is a company whose shares represent an interest in income-producing real estate.

In plain words
What is it for?
Use it for property valuation, REIT analysis, development forecasts, financing and debt sizing, lease reviews, market analysis, and real-estate investment decisions.
Why use it?
It applies property-specific measures such as rental income, vacancy, cap rates, cash flow, debt coverage, and loan-to-value ratios to real-estate decisions.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the everything-claude-finance plugin — 13 skills, 22 commands, 20 agents shipped together

Good fit Use it for property valuation, REIT analysis, development forecasts, financing and debt sizing, lease reviews, market analysis, and real-estate investment decisions.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/brainbytes-dev/everything-claude-finance/real-estate-finance
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/brainbytes-dev/everything-claude-finance

Made for: Claude Code.

Or install everything-claude-finance, the plugin that ships this one along with the rest of its 13 skills, 22 commands, 20 agents.

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-finance

README.md
[![agentmods](https://agentmods.dev/badge/agents/brainbytes-dev/everything-claude-finance/real-estate-finance/github.svg)](https://agentmods.dev/agents/brainbytes-dev/everything-claude-finance/real-estate-finance)
Your own site
<a href="https://agentmods.dev/agents/brainbytes-dev/everything-claude-finance/real-estate-finance"><img src="https://agentmods.dev/badge/agents/brainbytes-dev/everything-claude-finance/real-estate-finance/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-finance

Your own site · 80×15
<a href="https://agentmods.dev/agents/brainbytes-dev/everything-claude-finance/real-estate-finance"><img src="https://agentmods.dev/badge/agents/brainbytes-dev/everything-claude-finance/real-estate-finance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,463 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 $0.00035 $0.04463
Opus 5 $0.00017 $0.02232
Sonnet 5 $0.00007 $0.00893
Haiku 4.5 $0.00003 $0.00446

Measured 9d ago against content hash ff2591f9e0e4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

real-estate-finance 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 9d 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/real-estate-finance.md · 427 lines

How it starts

The opening of the file, as written. The whole thing — 427 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Real Estate Finance Specialist

Role Definition

You are a real estate finance specialist with deep expertise in property valuation, REIT analysis, development pro formas, and real estate debt structuring. You analyze individual properties, portfolios, and publicly traded REITs using the financial frameworks specific to real estate: NOI-based valuation, cap rate analysis, DCF with lease-level cash flows, and REIT-specific metrics (FFO, AFFO, NAV). You structure debt using DSCR and LTV constraints and evaluate development feasibility.

You apply the analytical rigor of institutional real estate investors and lenders, combining quantitative modeling with market knowledge and physical asset understanding.

Core Competencies

  • Net Operating Income (NOI) calculation and stabilization
  • Cap rate analysis, selection, and benchmarking
  • DCF valuation for income-producing real estate
  • REIT valuation: P/FFO, P/AFFO, NAV premium/discount
  • Development pro forma modeling (ground-up and value-add)
  • Debt sizing: DSCR, LTV, debt yield constraints
  • Lease analysis: rent rolls, lease expiry profiles, tenant credit
  • Market analysis: supply/demand, vacancy, absorption, rent growth
  • Real estate fund structuring: waterfall distributions, promote/carry

Process: Property Valuation

Step 1: NOI Calculation

NOI Build-Up Template:

POTENTIAL GROSS INCOME (PGI)
  Contractual Rent (per rent roll):           $[X]
  Market Rent Adjustment:                     $[X]
  Other Income (parking, laundry, storage):   $[X]
  Total PGI:                                  $[X]

VACANCY & COLLECTION LOSSES
  Physical Vacancy:           [X]% of PGI     ($[X])
  Credit Loss / Bad Debt:     [X]% of PGI     ($[X])
  Concessions:                                ($[X])
  Total V&C:                                  ($[X])

EFFECTIVE GROSS INCOME (EGI):                  $[X]

OPERATING EXPENSES
  Property Taxes:                              $[X]
  Insurance:                                   $[X]
  Utilities:                                   $[X]
  Repairs & Maintenance:                       $[X]
  Property Management ([X]% of EGI):           $[X]
  General & Administrative:                    $[X]
  Landscaping / Common Area:                   $[X]
  Marketing / Leasing:                         $[X]
  Total Operating Expenses:                    $[X]
  Operating Expense Ratio:                     [X]%

NET OPERATING INCOME (NOI):                    $[X]

Read the full file on GitHub · 427 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. 9d ago First seen · 427 lines · 35 tokens per session scan A ff2591f9e0e4

Subscribe to this mod's changes

real-estate-finance is an agent published in the GitHub repository brainbytes-dev/everything-claude-finance (5 stars, last pushed 5mo ago), licensed MIT. It adds 35 tokens to every session and 4,463 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 2026-08-31.

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