Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add Aznatkoiny/zAI-Skills/plugin install real-estate-investmentWrote 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/pro-forma)<a href="https://agentmods.dev/commands/aznatkoiny/zai-skills/pro-forma"><img src="https://agentmods.dev/badge/commands/aznatkoiny/zai-skills/pro-forma/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/pro-forma"><img src="https://agentmods.dev/badge/commands/aznatkoiny/zai-skills/pro-forma.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 | $0.00024 | $0.01366 |
| Opus 5 | $0.00012 | $0.00683 |
| Sonnet 5 | $0.00005 | $0.00273 |
| Haiku 4.5 | $0.00002 | $0.00137 |
Grade A, and why
pro-forma 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 8d 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate Pro Forma Model
Requested output format (may be empty): $ARGUMENTS
Instructions
When this command is invoked, build a real estate pro forma by running the plugin's tested script — do not re-write the model from prose:
1. Collect Property Details
Use AskUserQuestion to gather (these map 1:1 to the script's input schema):
- Property type: SFR, multifamily, commercial, STR
- Purchase price
- Income: units and annual rent per unit (or a single
annual_gross_rent), other income % of rent (default 3%), vacancy rate - Operating expenses: OpEx ratio as % of EGI (benchmarks: 35-45% multifamily, 40-50% commercial, 50-60% STR)
- Financing: LTV (if the user gives a down payment %,
ltv = 1 - down_payment_pct), annual interest rate, amortization years - Assumptions: holding period (default 10), rent growth (default 3%), expense growth (default 2.5%), CapEx reserve % of EGI (default 5%), exit cap rate, selling costs % (default 3%)
2. Validate Assumptions with Market Data (optional but recommended)
If the user has a specific property address, ground the model's assumptions using the real-estate-data MCP server (tools surface as mcp__real-estate-data__<name>):
mcp__real-estate-data__estimate_rent— replace guessed rent with a Rentcast AVM estimate (requiresRENTCAST_API_KEY; free tier, 50 requests/month)mcp__real-estate-data__get_rentcast_market_data— ZIP-level vacancy rate and rent growth for the income assumptions (requiresRENTCAST_API_KEY)mcp__real-estate-data__get_attom_property— year built, building size, beds/baths for expense benchmarking (requiresATTOM_API_KEY, paid)mcp__real-estate-data__get_attom_valuation— AVM check on the purchase price (requiresATTOM_API_KEY, paid)mcp__real-estate-data__get_census_housing_stats— area median home value context (requiresCENSUS_API_KEY— the key is free to obtain)
Fallback chain: MCP tool → WebSearch for comparable data → use the user's manual inputs as-is. Note in the results which inputs are data-backed vs. assumed.
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.
- 8d ago First seen · 83 lines · 24 tokens per session scan A ff71398b62fb
pro-forma is a command published in the GitHub repository Aznatkoiny/zAI-Skills (9 stars, last pushed 1mo ago), licensed MIT. It adds 24 tokens to every session and 1,366 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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