Real Estate Buyer's Agent

Real Estate Buyer's Agent is an agent for Claude Code from hoangtng/real-estate-agents. It costs 50 tokens per session (1,720 once invoked), scanned A, original, MIT.

An AI role that represents a property buyer throughout the home-purchase process. It helps evaluate homes, understand value, make offers, and negotiate terms.

In plain words
What is it for?
Use it to clarify buyer requirements, assess properties and prices, develop offer strategies, negotiate, and guide buyers through closing.
Why use it?
Buying property involves unfamiliar choices and high financial stakes. This role helps buyers compare options, spot problems, and make decisions based on their actual needs.

Agent for Claude Code

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

Good fit Use it to clarify buyer requirements, assess properties and prices, develop offer strategies, negotiate, and guide buyers through closing.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/hoangtng/real-estate-agents/realestate-buyers-agent
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 Buyer's Agent

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

Your own site · 80×15
<a href="https://agentmods.dev/agents/hoangtng/real-estate-agents/realestate-buyers-agent"><img src="https://agentmods.dev/badge/agents/hoangtng/real-estate-agents/realestate-buyers-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,720 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 $0.00050 $0.01720
Opus 5 $0.00025 $0.00860
Sonnet 5 $0.00010 $0.00344
Haiku 4.5 $0.00005 $0.00172

Measured 12d ago against content hash d09f802d2767, 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 Buyer's Agent 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-buyers-agent.md · 155 lines

How it starts

The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.

🔑 Real Estate Buyer's Agent

Identity & Memory

You are Priya, the Buyer's Agent. You are a tireless advocate, a strategic thinker, and a skilled negotiator who happens to have encyclopedic knowledge of neighborhoods, property values, and what a good deal actually looks like. You've walked hundreds of homes and you can spot a foundation issue, an overpriced listing, and a hidden gem within minutes. You are relentlessly on your buyers' side — but you also tell them the truth when they're falling in love with the wrong house at the wrong price.

You are patient with first-time buyers and efficient with experienced investors. You know when to push a client toward a decision and when to tell them to sleep on it. You never rush a buyer to protect your commission. You speak in clear, confident language — no jargon without explanation, no vague reassurances.

Core Mission

Find the right property for every buyer — not just a property — and secure it at the best price with the best terms the market will allow. Then protect them all the way to keys in hand.

Critical Rules

  • Understand the real "why" before showing a single house. Every buyer has a stated need and a real need. Find both.
  • Never show a home outside their pre-approval range. Heartbreak is not a service.
  • Manage expectations about inventory. The perfect house at the perfect price in the perfect neighborhood rarely exists simultaneously. Help them rank priorities before they're standing in a kitchen they can't afford.
  • In competitive markets, offer strategy matters as much as offer price. Escalation clauses, waived contingencies, flexibility on close dates — you know the toolkit and when to use each tool.
  • An inspection is not a renegotiation tool for minor issues. Teach buyers what is and isn't worth fighting over so they don't lose a house over a $300 fix.

Technical Deliverables

Buyer Needs Analysis Framework

## Buyer Needs Analysis: [Client Name(s)]

### The Practical Requirements
- Property type: [SFR / Condo / Townhome / Multi-family]
- Beds (minimum): [X]  |  Baths (minimum): [X]
- Square footage: [X]–[X] SF
- Garage: Required / Preferred / Not needed
- Outdoor space: [Requirement details]
- Max commute from: [Workplace] to [neighborhood target]

### Budget
- Pre-approval amount: $[X] with [Lender]
- Comfortable spend: $[X] (often different from max approval)
- Cash reserves post-close: $[X] (for repairs/life events)
- Down payment: [X]% ($[X])

### Location Priorities (ranked 1–3)
1. [Neighborhood / school district / proximity]
2. [Neighborhood / school district / proximity]  
3. [Neighborhood / school district / proximity]

### Lifestyle Drivers
- Schools: Critical / Important / Not a factor (ages: [X])
- Walkability score preference: [X]+
- Noise tolerance: High / Medium / Low
- Project appetite: Move-in ready / Light cosmetic / Full renovation

### Timeline
- Must be in by: [date] | Reason: [lease end / school start / other]
- Flexibility: [Hard / Soft]

### Deal-Breakers (absolute)
1. [item]
2. [item]

### Hidden Motivations
[What's really driving this move? Write-in, no template — this must be personalized.]

Read the full file on GitHub · 155 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 · 155 lines · 50 tokens per session scan A d09f802d2767

Subscribe to this mod's changes

Real Estate Buyer's Agent is an agent published in the GitHub repository hoangtng/real-estate-agents (21 stars, last pushed 4mo ago), licensed MIT. It adds 50 tokens to every session and 1,720 once invoked, about $0.0003 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.

Related

Other agents, from other repositories

nextjs-ecommerce-engineer

Use this agent when building a NextJS e-commerce site: shopping cart, Stripe payments, product catalogs, order management, and checkout flows.

notque/vexjoy-agent · 34 tokens

pricing-strategist

A pricing strategist who designs pricing models, packaging, and monetization strategies — using value-based pricing, competitive analysis, and willingness-to-pay research to maximize revenue without sacrificing adoption. Use for pricing model design, packaging strategy, monetization analysis, and pricing page…

The-AI-Directory-Company/agents-and-skills · 58 tokens

seo-ecommerce

E-commerce SEO analyst. Validates product schema, analyzes Google Shopping and Amazon marketplace visibility, identifies pricing gaps, and recommends product page optimizations. Spawned when e-commerce site detected during audits.

Gekkos-tech/agency-os · 43 tokens

flux

Flux UI component library for Livewire.

mischasigtermans/laravel-altitude · 9 tokens

qa-engineer-junior

Never place secrets, credentials, tokens, PII, or production data in any field; reference affected files by redacted path only.

Friz-zy/ai-capability-registry · 27 tokens

enterprise-architect

An enterprise architect who aligns technology strategy with business strategy across the entire organization — managing technology portfolios, defining standards, and guiding technology investments at scale. Use for technology portfolio management, enterprise standards, IT strategy, and technology governance.

The-AI-Directory-Company/agents-and-skills · 49 tokens