rentalot

rentalot is a skill for Claude Code, Codex from Rentalot-ai/rentalot-mcp. It costs 56 tokens per session (4,508 once invoked), scanned A, original, MIT.

A reference guide for Rentalot, a rental-management service that handles property inquiries, showings, messages, and follow-ups across several communication channels. It documents 37 tools and the platform's data and workflows.

In plain words
What is it for?
Use it to build integrations that manage properties, contacts, showings, conversations, images, automated follow-ups, workflows, webhooks, and bulk imports.
Why use it?
It explains Rentalot's API and business concepts so an agent can use the right operations and data shapes.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code.

Good fit Use it to build integrations that manage properties, contacts, showings, conversations, images, automated follow-ups, workflows, webhooks, and bulk imports.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rentalot-ai/rentalot-mcp/rentalot
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 Rentalot-ai/rentalot-mcp --skill rentalot
Clone the repo
git clone --depth 1 https://github.com/Rentalot-ai/rentalot-mcp

Made for: Claude Code, Codex.

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 rentalot

README.md
[![agentmods](https://agentmods.dev/badge/skills/rentalot-ai/rentalot-mcp/rentalot/github.svg)](https://agentmods.dev/skills/rentalot-ai/rentalot-mcp/rentalot)
Your own site
<a href="https://agentmods.dev/skills/rentalot-ai/rentalot-mcp/rentalot"><img src="https://agentmods.dev/badge/skills/rentalot-ai/rentalot-mcp/rentalot/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 rentalot

Your own site · 80×15
<a href="https://agentmods.dev/skills/rentalot-ai/rentalot-mcp/rentalot"><img src="https://agentmods.dev/badge/skills/rentalot-ai/rentalot-mcp/rentalot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,508 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 $0.00056 $0.04508
Opus 5 $0.00028 $0.02254
Sonnet 5 $0.00011 $0.00902
Haiku 4.5 $0.00006 $0.00451

Measured 12d ago against content hash ffaf5202dda0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

rentalot 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.

skills/rentalot/SKILL.md · 469 lines

How it starts

The opening of the file, as written. The whole thing — 469 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Rentalot

Rentalot is an AI-powered rental agent platform that manages inquiry response, showing scheduling, messaging, and follow-ups across WhatsApp, Telegram, SMS, and Gmail.

This skill covers the full tool surface, common workflows, API patterns, and domain knowledge for building with Rentalot.

Quick Reference

Domain Tools Key Operations
Properties 5 CRUD + filtering by status/rent/bedrooms/city
Contacts 5 CRUD + search + soft-delete
Showings 6 CRUD + availability check
Conversations 4 List, get, search, messages
Messages 1 Send via any channel
Drafts 6 CRUD + send + auto-expire (24h)
Follow-ups 5 Schedule + cancel automated messages
Workflows 8 Template CRUD + trigger runs + track status
Webhooks 7 CRUD + test + HMAC-SHA256 signing
Settings 4 Follow-up settings + account preferences
Property Images 9 Upload (single/batch/URL import) + delete + reorder
Sessions 3 List, get, review (approve/deny)
Bulk Import 2 Create up to 500 properties + track job
Events 1 List calendar events

Total: 37 tools — ~15 read-only, ~22 write (Pro+ plan required for writes)


Tool Reference by Domain

Properties

Tool Method Endpoint
list_properties GET /api/v1/properties
get_property GET /api/v1/properties/{id}
create_property POST /api/v1/properties
update_property PATCH /api/v1/properties/{id}
delete_property DELETE /api/v1/properties/{id}

Statuses: active, rented, inactive, maintenance, draft, archived

Filters: status, minRent, maxRent, minBedrooms, city, page, limit

Fields: address, monthlyRent, bedrooms, bathrooms, city, state, zip, status, description, features, availabilityDate, petPolicy, parking, laundry

Contacts

Tool Method Endpoint
list_contacts GET /api/v1/contacts
get_contact GET /api/v1/contacts/{id}
create_contact POST /api/v1/contacts
update_contact PATCH /api/v1/contacts/{id}
delete_contact DELETE /api/v1/contacts/{id}

Read the full file on GitHub · 469 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 · 469 lines · 56 tokens per session scan A ffaf5202dda0

Subscribe to this mod's changes

rentalot is a skill published in the GitHub repository Rentalot-ai/rentalot-mcp (1 stars, last pushed 5mo ago), licensed MIT. It adds 56 tokens to every session and 4,508 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 2026-08-31.

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