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.
npx skills add Rentalot-ai/rentalot-mcp --skill rentalotgit clone --depth 1 https://github.com/Rentalot-ai/rentalot-mcpWrote 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.
[](https://agentmods.dev/skills/rentalot-ai/rentalot-mcp/rentalot)<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.
<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>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00056 | $0.04568 |
| Opus 5.5 | $0.00022 | $0.01827 |
| Sonnet 5.5 | $0.00011 | $0.00914 |
| Haiku 4.5 | $0.00006 | $0.00457 |
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 29d 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.
How it starts
The opening of the file, as written. The whole thing — 471 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, archived
Property types: house, apartment, condo, townhouse, room (optional on writes; nullable for legacy reads). Studio is represented by bedrooms=0, not a property type.
Filters: status, repeatable propertyType, exact bedroomType=studio, minRent, maxRent, minBedrooms, city, page, limit
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.
- 29d ago Changed · +2 lines 121995f44f53
- 2mo ago First seen · 469 lines · 56 tokens per session scan A ffaf5202dda0
rentalot is a skill published in the GitHub repository Rentalot-ai/rentalot-mcp (1 stars, last pushed 1mo ago), licensed MIT. It adds 56 tokens to every session and 4,568 once invoked, about $0.0002 per session on Opus 5.5. 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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