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.
git clone --depth 1 https://github.com/Aznatkoiny/zAI-SkillsWrote 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/commands/aznatkoiny/zai-skills/str-revenue)<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.
<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>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 | $0.00015 | $0.01619 |
| Opus 5 | $0.00008 | $0.00809 |
| Sonnet 5 | $0.00003 | $0.00324 |
| Haiku 4.5 | $0.00002 | $0.00162 |
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.
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 plusbedrooms(int) andbathrooms(can be fractional, e.g., 2.5). RequiresAIRDNA_API_KEY(paid).mcp__real-estate-data__get_airdna_market_stats— market-level STR ADR, occupancy, revenue, and listings count by city/state (requiresAIRDNA_API_KEY, paid)mcp__real-estate-data__get_mashvisor_property— alternative STR/LTR income estimates for the property (requiresMASHVISOR_API_KEY, paid)mcp__real-estate-data__estimate_rent— long-term rent estimate for the STR-vs-LTR comparison in step 6 (requiresRENTCAST_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)
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.
- 7d ago First seen · 174 lines · 15 tokens per session scan A b8aa3ce7350c
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.
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