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 zgbrenner/agentcounsel --skill real-estate-diligence-checklistgit clone --depth 1 https://github.com/zgbrenner/agentcounselWrote 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/zgbrenner/agentcounsel/real-estate-diligence-checklist)<a href="https://agentmods.dev/skills/zgbrenner/agentcounsel/real-estate-diligence-checklist"><img src="https://agentmods.dev/badge/skills/zgbrenner/agentcounsel/real-estate-diligence-checklist/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/zgbrenner/agentcounsel/real-estate-diligence-checklist"><img src="https://agentmods.dev/badge/skills/zgbrenner/agentcounsel/real-estate-diligence-checklist.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 | $0.00037 | $0.02517 |
| Opus 5 | $0.00018 | $0.01259 |
| Sonnet 5 | $0.00007 | $0.00503 |
| Haiku 4.5 | $0.00004 | $0.00252 |
Grade A, and why
Real Estate Diligence Checklist 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 9d 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 — 217 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Real Estate Diligence Checklist
Purpose
Generate a structured, tailored due-diligence checklist for a real estate transaction so an attorney and a transaction team have an organized scaffold for the diligence period. The checklist is shaped by the transaction type, the property type, the jurisdiction, the party role, and the documents available so far, and it is paired with a missing-document request list that names what has not yet been provided.
This skill produces draft work product for attorney review only. It is not legal advice. The checklist is a process scaffold the attorney adapts and extends; it does not define what diligence is legally required or sufficient.
Use When
- A user asks to "build a diligence checklist," "put together a due-diligence list," or "tell me what to review for this deal."
- A transaction team is opening the diligence period on an acquisition, disposition, financing, or leasing transaction and needs an organized scope.
- A checklist is needed to track what has been received and what is still outstanding from a counterparty.
- A diligence scope must be tailored to a specific property type and party role before substantive review begins.
Required Inputs
- The transaction type — for example acquisition, disposition, refinancing, ground lease, joint venture, or development.
- The property type — for example office, retail, industrial, multifamily, hospitality, raw land, or mixed-use.
- The jurisdiction — the state and locality where the property is located, because diligence categories that depend on local requirements are flagged for local-counsel confirmation rather than guessed.
- The party role the checklist is prepared for — buyer, seller, borrower, lender, landlord, tenant, or investor.
- The document set so far — the documents already provided, and what the user knows is still outstanding.
If the transaction type, the property type, the jurisdiction, or the party role is missing, stop and request it. Do not build a diligence checklist from an incomplete set of these gating inputs.
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.
- 9d ago First seen · 217 lines · 37 tokens per session scan A 84ca92e6b916
Real Estate Diligence Checklist is a skill published in the GitHub repository zgbrenner/agentcounsel (19 stars, last pushed 1mo ago), licensed MIT. It adds 37 tokens to every session and 2,517 once invoked, about $0.0002 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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