vertical-real-estate

vertical-real-estate is a skill for Claude Code from avelikiy/great_cto. It costs 99 tokens per session (2,352 once invoked), scanned A, original, MIT.

A domain guide to residential real-estate software, covering property listings, lead management, transactions, and property management. It explains terms such as MLS, the regional databases agents use to share listings, and IDX, the rules for displaying those listings online.

In plain words
What is it for?
It is for planning real-estate websites, broker and agent tools, lead-management systems, transaction coordination, and property-management products.
Why use it?
It helps product planners account for listing lifecycles, data-sharing boundaries, and sales processes that can last for months instead of building a generic contacts-and-records app.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the great-cto plugin — 40 skills, 44 commands, 70 agents shipped together

Good fit It is for planning real-estate websites, broker and agent tools, lead-management systems, transaction coordination, and property-management products.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/avelikiy/great_cto/vertical-real-estate
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.

Any agent
npx skills add avelikiy/great_cto --skill vertical-real-estate
Clone the repo
git clone --depth 1 https://github.com/avelikiy/great_cto

Made for: Claude Code.

Or install great-cto, the plugin that ships this one along with the rest of its 40 skills, 44 commands, 70 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 vertical-real-estate

README.md
[![agentmods](https://agentmods.dev/badge/skills/avelikiy/great_cto/vertical-real-estate/github.svg)](https://agentmods.dev/skills/avelikiy/great_cto/vertical-real-estate)
Your own site
<a href="https://agentmods.dev/skills/avelikiy/great_cto/vertical-real-estate"><img src="https://agentmods.dev/badge/skills/avelikiy/great_cto/vertical-real-estate/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 vertical-real-estate

Your own site · 80×15
<a href="https://agentmods.dev/skills/avelikiy/great_cto/vertical-real-estate"><img src="https://agentmods.dev/badge/skills/avelikiy/great_cto/vertical-real-estate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 99 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,352 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 4 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high System Prompt Leakage · line 42
    Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.
    Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
  • high System Prompt Leakage · line 76
    Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.
    Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
  • high System Prompt Leakage · line 119
    Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.
    Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
  • high System Prompt Leakage · line 139
    Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.
    Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
How audits are shown
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 $0.00099 $0.02352
Opus 5 $0.00049 $0.01176
Sonnet 5 $0.00020 $0.00470
Haiku 4.5 $0.00010 $0.00235

Measured 9d ago against content hash 5eb4f9abedf3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

vertical-real-estate 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.

skills/vertical-real-estate/SKILL.md · 141 lines

How it starts

The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Vertical: residential real estate — don't spec it naively

Real estate looks like generic CRUD (a listing is a record, a lead is a contact, a deal is a checklist). It isn't. The domain has hard-won structure — MLS quirks, status lifecycles, months-long sales cycles, agent-vs-brokerage data boundaries — that a naive build ignores and then rebuilds. This skill front-loads that structure so the spec is right the first time.

Incumbents to know (and what they own): Lone Wolf / Propertybase (brokerage CRM + back office), Follow Up Boss (lead-to-close CRM, the nurture gold standard), CINC (lead-gen

  • CRM), Top Producer (legacy CRM), kvCORE / BoldTrail (all-in-one platform). They are expensive, broad, and switching-cost-heavy — which is why the wedge matters (see per-product).

1. Domain vocabulary (use these terms in the spec)

  • MLS (Multiple Listing Service) — regional database of listings; there are ~500+ MLSs in the US, each its own system, login, and field set. There is no single national MLS.
  • IDX (Internet Data Exchange) — the rules + feed that let a brokerage display other brokers' MLS listings on its own site. Governed by per-MLS display/redistribution rules.
  • RESO — the standards body. RESO Web API (modern REST/OData feed) and RESO Data Dictionary (canonical field names) are the standard — but adoption and cleanliness vary per MLS. "RESO-compliant" still means per-MLS quirks.
  • Listing status — lifecycle, not a flag: active → pending / contingent → closed (plus coming soon, active under contract, withdrawn, expired, sold). Status drives display rules and downstream automation.
  • Buyer agent vs seller (listing) agent — opposite sides of a transaction; data and permissions differ. A contact can be a buyer lead and later a seller.
  • Brokerage vs agent — the brokerage holds the license and (often) the data; the agent is the user. Commission split is how the deal's commission divides brokerage↔agent.
  • Escrow / settlement / closing — the funded close; contingencies (inspection, financing, appraisal) are conditions that must clear first, each with a deadline.
  • Transaction coordinator (TC) — the person who shepherds a deal from accepted-offer to close: chasing docs, signatures, and deadlines. Often done in Dotloop / Excel today.
  • CMA (Comparative Market Analysis) — comp-based price estimate an agent gives a seller.
  • Lead-to-close funnel — capture → nurture → active → under-contract → closed; months long.
  • Syndication portalsZillow, Realtor.com, Redfin, Trulia, etc.; a listing is pushed (syndicated) to many; our copy is one of many downstream copies.

Read the full file on GitHub · 141 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 · 141 lines · 99 tokens per session scan A 5eb4f9abedf3

Subscribe to this mod's changes

vertical-real-estate is a skill published in the GitHub repository avelikiy/great_cto (93 stars, last pushed yesterday), licensed MIT. It adds 99 tokens to every session and 2,352 once invoked, about $0.0005 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 2026-09-03.

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