str-revenue

str-revenue is a command for Claude Code from Aznatkoiny/zAI-Skills. It costs 15 tokens per session (1,619 once invoked), scanned A, original, MIT.

A projection tool for estimating short-term rental income, such as income from Airbnb or Vrbo, while accounting for seasonal changes.

In plain words
What is it for?
It helps estimate nightly rates, occupancy, revenue per available night, and market-based income for a specific property.
Why use it?
It helps compare expected vacation-rental revenue with income from a conventional long-term lease.

Command for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: names the AskUserQuestion tool.

Part of the real-estate-investment plugin — 1 skill, 9 commands, 4 agents shipped together

Good fit It helps estimate nightly rates, occupancy, revenue per available night, and market-based income for a specific property.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/aznatkoiny/zai-skills/str-revenue
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/Aznatkoiny/zAI-Skills

Made for: Claude Code.

Or install real-estate-investment, the plugin that ships this one along with the rest of its 1 skill, 9 commands, 4 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 str-revenue

README.md
[![agentmods](https://agentmods.dev/badge/commands/aznatkoiny/zai-skills/str-revenue/github.svg)](https://agentmods.dev/commands/aznatkoiny/zai-skills/str-revenue)
Your own site
<a href="https://agentmods.dev/commands/aznatkoiny/zai-skills/str-revenue"><img src="https://agentmods.dev/badge/commands/aznatkoiny/zai-skills/str-revenue/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 str-revenue

Your own site · 80×15
<a href="https://agentmods.dev/commands/aznatkoiny/zai-skills/str-revenue"><img src="https://agentmods.dev/badge/commands/aznatkoiny/zai-skills/str-revenue.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 15 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,619 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 $0.00015 $0.01619
Opus 5 $0.00008 $0.00809
Sonnet 5 $0.00003 $0.00324
Haiku 4.5 $0.00002 $0.00162

Measured 7d ago against content hash b8aa3ce7350c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

str-revenue 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 7d 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.

real-estate-investment/commands/str-revenue.md · 174 lines

How it starts

The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Short-Term Rental Revenue Projection

Property or market to project (may be empty): $ARGUMENTS

Instructions

When this command is invoked, project short-term rental revenue and compare to long-term rental:

1. Load Reference Material

Read the property types reference for STR guidance: the references/property-types.md file from the real-estate-investment skill in this plugin

2. Collect Property Details

Use AskUserQuestion to gather (skip anything already provided in $ARGUMENTS):

Property Characteristics:

  • Location (city, neighborhood)
  • Property type (entire home, condo, unique property)
  • Bedrooms and bathrooms (required for the AirDNA rentalizer tool below)
  • Square footage
  • Notable amenities (pool, hot tub, waterfront, etc.)

3. Acquire STR Market Data

Pull comparable data from the real-estate-data MCP server (tools surface as mcp__real-estate-data__<name>):

  • mcp__real-estate-data__get_airdna_rentalizer — property-level STR revenue projection: ADR, occupancy, RevPAR. Requires the full address plus bedrooms (int) and bathrooms (can be fractional, e.g., 2.5). Requires AIRDNA_API_KEY (paid).
  • mcp__real-estate-data__get_airdna_market_stats — market-level STR ADR, occupancy, revenue, and listings count by city/state (requires AIRDNA_API_KEY, paid)
  • mcp__real-estate-data__get_mashvisor_property — alternative STR/LTR income estimates for the property (requires MASHVISOR_API_KEY, paid)
  • mcp__real-estate-data__estimate_rent — long-term rent estimate for the STR-vs-LTR comparison in step 6 (requires RENTCAST_API_KEY; free tier, 50 requests/month)

Fallback chain: if a tool is unavailable or returns a missing-key error, fall back to WebSearch for Airbnb/VRBO comps and published market ADR/occupancy data; if that fails, ask the user to research comps manually and input a base ADR and occupancy. State which source each figure came from.

4. Model Seasonal Revenue

Create month-by-month revenue projection:

Define Seasons:

  • Peak season months (highest demand)
  • Shoulder season months (moderate demand)
  • Off-peak season months (lowest demand)

Read the full file on GitHub · 174 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. 7d ago First seen · 174 lines · 15 tokens per session scan A b8aa3ce7350c

Subscribe to this mod's changes

str-revenue is a command published in the GitHub repository Aznatkoiny/zAI-Skills (9 stars, last pushed 1mo ago), licensed MIT. It adds 15 tokens to every session and 1,619 once invoked, about $0.0001 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.