mortgage-lending

mortgage-lending is a skill for Claude Code, Codex from alexclowe/awesome-copilot-cowork-plugins. It costs 20 tokens per session (849 once invoked), scanned A, original, MIT.

Orientações sobre empréstimos imobiliários, taxas, análise do pedido, regras de conformidade e fechamento do financiamento.

In plain words
What is it for?
Apoiar análises de produtos como FHA, VA, USDA e convencionais, cálculos de taxas e entrada, análise de risco e preparação do fechamento.
Why use it?
Reúne conceitos e procedimentos necessários para comparar empréstimos e conduzir uma operação de financiamento imobiliário.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Apoiar análises de produtos como FHA, VA, USDA e convencionais, cálculos de taxas e entrada, análise de risco e preparação do fechamento.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alexclowe/awesome-copilot-cowork-plugins/mortgage-lending
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 alexclowe/awesome-copilot-cowork-plugins --skill mortgage-lending
Clone the repo
git clone --depth 1 https://github.com/alexclowe/awesome-copilot-cowork-plugins

Made for: Claude Code, Codex.

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 mortgage-lending

README.md
[![agentmods](https://agentmods.dev/badge/skills/alexclowe/awesome-copilot-cowork-plugins/mortgage-lending/github.svg)](https://agentmods.dev/skills/alexclowe/awesome-copilot-cowork-plugins/mortgage-lending)
Your own site
<a href="https://agentmods.dev/skills/alexclowe/awesome-copilot-cowork-plugins/mortgage-lending"><img src="https://agentmods.dev/badge/skills/alexclowe/awesome-copilot-cowork-plugins/mortgage-lending/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 mortgage-lending

Your own site · 80×15
<a href="https://agentmods.dev/skills/alexclowe/awesome-copilot-cowork-plugins/mortgage-lending"><img src="https://agentmods.dev/badge/skills/alexclowe/awesome-copilot-cowork-plugins/mortgage-lending.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 849 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.
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 $0.00020 $0.00849
Opus 5 $0.00010 $0.00425
Sonnet 5 $0.00004 $0.00170
Haiku 4.5 $0.00002 $0.00085

Measured 12d ago against content hash 1588f5d6b0c8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

mortgage-lending 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 12d 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.

mortgage-broker/skills/mortgage-lending/SKILL.md · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You have deep expertise in mortgage lending. When the user is working on mortgage-related tasks, apply this knowledge automatically.

Core competencies

Loan products:

  • Conventional: Conforming (Fannie Mae/Freddie Mac) and non-conforming (jumbo) loans. LTV requirements, PMI thresholds (80% LTV), and conforming loan limits by county.
  • FHA: Lower down payment (3.5%), upfront and annual MIP, FHA appraisal requirements, and 203(k) rehabilitation loans.
  • VA: Zero down payment, no PMI, VA funding fee structure, Certificate of Eligibility requirements, and VA-specific appraisal standards (Minimum Property Requirements).
  • USDA: Rural eligibility mapping, income limits, guarantee fee structure, and property eligibility requirements.
  • ARM Products: Initial rate periods (3/1, 5/1, 7/1, 10/1), adjustment caps (initial, periodic, lifetime), index types (SOFR, Treasury), and margin calculations.
  • Non-QM: Bank statement loans, DSCR loans, asset depletion, and interest-only products for self-employed or non-traditional borrowers.

Rate structures and pricing:

  • Rate lock mechanics: lock periods (30, 45, 60 days), float-down options, lock extensions, and renegotiation
  • Points and credits: buying down the rate vs. lender credits toward closing costs, and break-even analysis
  • APR calculation: incorporating origination fees, PMI/MIP, and prepaid interest into the true cost comparison
  • Rate sheet interpretation: par pricing, rebate pricing, and investor overlays

Underwriting fundamentals:

  • Income qualification: W-2 income, self-employment (2-year tax return averaging), commission and bonus income, rental income, and non-traditional income sources
  • DTI ratios: front-end (housing ratio) and back-end (total DTI) limits by loan type (conventional 45-50%, FHA 43-57%, VA no front-end cap)
  • Credit analysis: minimum scores by product (conventional 620, FHA 580/500, VA no minimum but overlay common), credit events (bankruptcy, foreclosure, short sale) and waiting periods
  • Asset verification: sourcing and seasoning requirements, gift fund documentation, and reserve requirements
  • Property requirements: appraisal standards, property type eligibility, and condition requirements by loan type

Compliance and regulation:

  • TRID (TILA-RESPA Integrated Disclosure): Loan Estimate timing (3 business days from application), Closing Disclosure timing (3 business days before closing), and tolerance thresholds
  • RESPA: prohibition on kickbacks and referral fees, affiliated business arrangements, and required disclosures
  • HMDA: data collection and reporting requirements
  • Fair Lending: Equal Credit Opportunity Act, Fair Housing Act, and disparate impact analysis
  • State licensing: NMLS requirements, state-specific disclosure obligations, and continuing education

Closing procedures:

  • Clear-to-close conditions and final document preparation
  • Closing Disclosure review and borrower walkthrough
  • Funding process: dry closings vs. wet closings by state
  • Post-closing: document delivery to investor, servicing transfer notifications

Read the full file on GitHub · 58 lines

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. 12d ago First seen · 58 lines · 20 tokens per session scan A 1588f5d6b0c8

Subscribe to this mod's changes

mortgage-lending is a skill published in the GitHub repository alexclowe/awesome-copilot-cowork-plugins (17 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 849 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 2026-08-30.

Related

Other skills, from other repositories

investor-reviewer

Reviews a proposal, business case, deck or plan in character as an Investor archetype, then saves a structured review document with a verdict, findings that cite the artifact, capital-allocation risks and five interrogation questions. Use when the user asks for an investor review, a capital-lens pressure-test of a…

Yugpat1835/awesome-copilot-cowork-skills · 82 tokens

cfo-reviewer

Reviews a proposal, business case, deck or plan in character as a Chief Financial Officer archetype, then saves a structured review document with a verdict, findings that cite the artifact, finance risks and five interrogation questions. Use when the user asks for a CFO review, a finance-lens pressure-test of a…

Yugpat1835/awesome-copilot-cowork-skills · 80 tokens

apify-x402-agentic-wallet

Discover, pay for, and run any Apify Actor by paying USDC on Base over the x402 protocol with a Coinbase Agentic Wallet (awal) — no Apify account or API key. You buy one small, spend-capped prepaid Apify token, then run as many Actors as the request needs with it. Use when the user wants to use Apify tools without…

apify/awesome-skills · 158 tokens

sprr

Single PR reviewer for awesome-quant. Use when the user asks to review, validate, comment on, label, close, or merge one specific pull request that adds README.md entries. Triggers include "sprr", "review PR", "check PR", and "validate contribution".

wilsonfreitas/awesome-quant · 60 tokens

bprr

Bulk PR reviewer for awesome-quant. Use when the user asks to review all open PRs, review unreviewed PRs, bulk review, or mentions "bprr". Reviews open PRs lacking the reviewed label and presents a summary before any merge/comment/label action.

wilsonfreitas/awesome-quant · 61 tokens

update-pypi-dates

Refresh tracked PyPI last-updated dates in awesome-quant README.md. Use when the user asks to update PyPI dates, refresh PyPI metadata, or run update-pypi-dates.

wilsonfreitas/awesome-quant · 47 tokens