real-estate-analyzer

Evaluate property listings, neighborhood signals, and investment returns for underwriting decisions.

2|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/kvm9-dev/susanoo --skill real-estate-analyzer-kvm9-dev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: real-estate-analyzer
Source: https://github.com/kvm9-dev/susanoo/tree/main/.local/secondary_skills/real-estate-analyzer
Command: npx skills add https://github.com/kvm9-dev/susanoo --skill real-estate-analyzer-kvm9-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Real-estate-analyzer helps you evaluate whether a property is fairly priced and whether it makes sense as a purchase or investment, reducing guesswork from marketing price, neighborhood claims, and incomplete comparisons.

Core Features & Use Cases

  • Property listing assessment: Reviews listing details, condition indicators, and red flags to identify hidden risk (e.g., system age, unpermitted work signals, missing disclosures).
  • Valuation and affordability modeling: Uses sold comps, valuation indexes, and assessed values to estimate fair value, then computes affordability metrics (including PITI components) with scenario-ready underwriting.
  • Neighborhood and investment underwriting: Assesses schools, safety trends, flood risk, market velocity, and then models cash flow using cap rate, DSCR, and deal-killing rules (e.g., 1%/50%/70% heuristics).

Quick Start

Use the real-estate-analyzer skill to analyze the property at 123 Main St for a purchase decision and return a summary with fair value, risks, and investment metrics.

Frequently Asked Questions about real-estate-analyzer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze a property listing to estimate fair value and check for investment risks?

Property valuation and investment risk analysis use sold comps, assessed values, and condition indicators to estimate fair value while flagging hidden risks like system age and unpermitted work. This structured workflow computes affordability math and underwriting outputs for a comprehensive purchase decision.

How do you calculate cap rate, NOI, and DSCR for real estate investment underwriting?

Real estate investment underwriting calculates NOI, cap rate, and DSCR by modeling rental cash flow against debt obligations. The analysis applies deal-killing heuristics like the 1%, 50%, and 70% rules to determine if a property meets investor cash flow requirements.

What is the best way to assess neighborhood quality and flood risk before buying a home?

Neighborhood quality assessment evaluates schools, safety trends, market velocity, and flood risk to support home buying decisions. Geocoded address data generates an interactive map, combining these signals with affordability metrics to reveal location-based investment risks.

Can I use sold comps and affordability math to underwrite a rental property?

Rental property underwriting uses sold comps and affordability math, including PITI components and DTI ratios, to model scenario-ready cash flow. This approach integrates valuation indexes with investment metrics like cap rate and DSCR for investor decision support.

Does real estate investment underwriting work for evaluating asking price versus fair value?

Investment underwriting evaluates asking price versus fair value by comparing listing details against sold comps and assessed values. The workflow outputs a due-diligence checklist and summary format highlighting whether the asking price aligns with market value and investor cash flow goals.

When should I not rely on cap rate and DSCR for property valuation?

Cap rate and DSCR limitations emerge when property condition indicators or neighborhood signals reveal hidden risks unrepresented in cash flow math. Relying solely on these metrics misses system age issues, unpermitted work, and flood risks that require a full due-diligence checklist.