cre-underwriting

cre-underwriting is a skill for Claude Code from ahacker-1/cre-agent-skills. It costs 34 tokens per session (816 once invoked), scanned A, original, Apache-2.0.

A set of three tools for analysing the finances of a multifamily property purchase. It builds a five-year forecast, tests different assumptions, and turns the findings into an investment committee memo, which is a document used to approve or reject a deal.

In plain words
What is it for?
It helps model income, expenses, debt, cash flow, sale proceeds, internal rate of return, equity multiple, and cash-on-cash return; test rent growth, vacancy, and sale assumptions; and write a go/no-go investment memo.
Why use it?
It replaces disconnected spreadsheets and written analysis with a consistent way to calculate returns, test risks, and present a purchase recommendation.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Good fit It helps model income, expenses, debt, cash flow, sale proceeds, internal rate of return, equity multiple, and cash-on-cash return; test rent growth, vacancy, and sale assumptions; and write a go/no-go investment memo.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ahacker-1/cre-agent-skills/cre-underwriting
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.

Any agent
npx skills add ahacker-1/cre-agent-skills --skill cre-underwriting
Clone the repo
git clone --depth 1 https://github.com/ahacker-1/cre-agent-skills

Made for: Claude Code.

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 cre-underwriting

README.md
[![agentmods](https://agentmods.dev/badge/skills/ahacker-1/cre-agent-skills/cre-underwriting/github.svg)](https://agentmods.dev/skills/ahacker-1/cre-agent-skills/cre-underwriting)
Your own site
<a href="https://agentmods.dev/skills/ahacker-1/cre-agent-skills/cre-underwriting"><img src="https://agentmods.dev/badge/skills/ahacker-1/cre-agent-skills/cre-underwriting/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 cre-underwriting

Your own site · 80×15
<a href="https://agentmods.dev/skills/ahacker-1/cre-agent-skills/cre-underwriting"><img src="https://agentmods.dev/badge/skills/ahacker-1/cre-agent-skills/cre-underwriting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 816 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00034 $0.00816
Opus 5 $0.00017 $0.00408
Sonnet 5 $0.00007 $0.00163
Haiku 4.5 $0.00003 $0.00082

Measured 7d ago against content hash 4e80baf1c44f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

cre-underwriting 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

claude-code-plugins/cre-underwriting/SKILL.md · 57 lines

How it starts

The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CRE Underwriting Suite

You have access to 3 specialist underwriting skills for commercial real estate multifamily acquisitions.

Available Skills

Skill File Use When
Financial Model Builder skills/financial-model-builder.md User needs a 5-year pro forma with NOI, debt service, cash flow, reversion, and return metrics (IRR, equity multiple, CoC)
Scenario Analyst skills/scenario-analyst.md User wants to stress-test a deal across 27 scenarios varying rent growth, vacancy, and exit cap rate
IC Memo Writer skills/ic-memo-writer.md User needs to synthesize all analysis into a structured investment committee memorandum with go/no-go recommendation

How to Use

  1. Read the user's request to determine which skill is needed
  2. Load the full skill file — e.g., Read skills/financial-model-builder.md
  3. Follow the Strategy steps exactly
  4. Produce output in the specified format
  5. Run Quality Checks before delivering results

For deeper analysis, load knowledge bases:

  • knowledge/underwriting-calc.md — every CRE financial formula
  • knowledge/multifamily-benchmarks.md — industry benchmarks by property class and region

If the user says "$ARGUMENTS", use that to determine which skill to load.

Quick Reference

Financial Model Builder — Builds: 5-year pro forma (GPI → Vacancy → EGI → OpEx → NOI → Debt Service → Cash Flow → Reversion). Calculates: IRR, equity multiple, cash-on-cash, cap rate, debt yield, DSCR. Models: stabilization, renovation impact, refinancing.

Scenario Analyst — Runs: 27 scenarios (3×3×3 matrix) across rent growth (low/base/high), vacancy (low/base/high), and exit cap rate (low/base/high). Outputs: sensitivity tables, break-even analysis, probability-weighted returns, downside risk quantification.

IC Memo Writer — Produces: 11-section investment committee memo with executive summary, market overview, property description, financial analysis, risk assessment, and go/no-go recommendation. Includes: 3 appendices (pro forma, scenario matrix, comparable sales).

Read the full file on GitHub · 57 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 Changed · +17 lines 4e80baf1c44f
  2. 11d ago First seen · 40 lines · 34 tokens per session scan A f20386b59897

Subscribe to this mod's changes

cre-underwriting is a skill published in the GitHub repository ahacker-1/cre-agent-skills (92 stars, last pushed 9d ago), licensed Apache-2.0. It adds 34 tokens to every session and 816 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 2026-08-30.

Related

Other skills, from other repositories

cre-brokerage

CRE Brokerage Investment Sales v1 - 8 specialist skills for U.S. seller-side commercial investment sales brokers, covering assignment intake, broker opinion of value, listing proposal, OM and teaser drafting, buyer process management, bid leveling, negotiation support, and PSA-to-close coordination.

XAKLESK/cre-agent-skills · 60 tokens

cre-due-diligence

CRE Due Diligence analysis suite — 7 specialist skills for multifamily property analysis including rent roll validation, expense benchmarking, market study, physical inspection, environmental review, title review, and tenant credit assessment.

XAKLESK/cre-agent-skills · 49 tokens

cre-industrial

CRE Industrial analysis suite - 8 specialist skills for U.S. industrial acquisitions, covering market study, lease roster analysis, lease abstraction, tenant credit, physical inspection, underwriting, financing fit, and investment committee memo writing.

XAKLESK/cre-agent-skills · 48 tokens

cre-closing

CRE Closing management suite — 2 specialist skills for closing checklist coordination and funds flow preparation for multifamily acquisitions.

XAKLESK/cre-agent-skills · 26 tokens

cre-financing

CRE Financing analysis suite — 3 specialist skills for lender identification, quote comparison, and term sheet assembly for multifamily acquisition debt sourcing.

XAKLESK/cre-agent-skills · 31 tokens

cre-underwriting

CRE Underwriting analysis suite — 3 specialist skills for building pro formas, running sensitivity scenarios, and writing investment committee memos for multifamily acquisitions.

XAKLESK/cre-agent-skills · 34 tokens