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/analyze-deal)<a href="https://agentmods.dev/commands/aznatkoiny/zai-skills/analyze-deal"><img src="https://agentmods.dev/badge/commands/aznatkoiny/zai-skills/analyze-deal/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/analyze-deal"><img src="https://agentmods.dev/badge/commands/aznatkoiny/zai-skills/analyze-deal.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 | $0.00017 | $0.01259 |
| Opus 5 | $0.00009 | $0.00629 |
| Sonnet 5 | $0.00003 | $0.00252 |
| Haiku 4.5 | $0.00002 | $0.00126 |
Grade A, and why
analyze-deal 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 10d 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 — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyze Real Estate Deal
Property to analyze (may be empty): $ARGUMENTS
Instructions
When this command is invoked, perform a comprehensive real estate deal analysis:
1. Collect Property Information
If $ARGUMENTS contains a property address or identifier, use it as the subject property. Use AskUserQuestion to gather the following details (skip anything already provided in $ARGUMENTS):
- Property type: Single-family residential (SFR), multifamily, commercial, or short-term rental (STR)
- Purchase price: Total acquisition cost
- Down payment: Dollar amount or percentage
- Monthly rent: Expected gross rent (for STR: average daily rate and occupancy percentage)
- Operating expenses: Itemized if known, otherwise use industry benchmarks (30-40% for SFR/multifamily, 40-50% for commercial, 50-60% for STR)
- Loan terms: Interest rate, loan term (years), amortization period
- Hold period: Expected years before sale (default: 10 years)
- Exit cap rate: Expected cap rate at sale (default: current + 0.5%)
2. Acquire Market Data
Before relying on user-supplied assumptions, pull supporting data from the real-estate-data MCP server (tools surface as mcp__real-estate-data__<name>):
mcp__real-estate-data__estimate_rent— validate the rent assumption with a Rentcast AVM estimate (requiresRENTCAST_API_KEY; free tier, 50 requests/month)mcp__real-estate-data__get_rentcast_market_data— ZIP-level median rent and vacancy for sanity-checking assumptions (requiresRENTCAST_API_KEY)mcp__real-estate-data__get_attom_property/mcp__real-estate-data__get_attom_valuation— property details and AVM value vs. purchase price (requireATTOM_API_KEY, paid)mcp__real-estate-data__get_mashvisor_property— STR/LTR income estimates and neighborhood score (requiresMASHVISOR_API_KEY, paid)mcp__real-estate-data__get_census_demographics— area income, rent, and vacancy context (requiresCENSUS_API_KEY— the key is free to obtain)mcp__real-estate-data__get_redfin_market_snapshot— parsed Redfin market snapshot (median sale price, inventory, days on market) for the property's metro (no key needed)mcp__real-estate-data__get_redfin_market_data— Redfin market tracker download URLs and column guide for deeper/bulk analysis (no key needed)
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.
- 10d ago First seen · 99 lines · 17 tokens per session scan A e03b9341a17b
analyze-deal is a command published in the GitHub repository Aznatkoiny/zAI-Skills (9 stars, last pushed 1mo ago), licensed MIT. It adds 17 tokens to every session and 1,259 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 2026-08-31.
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