Mortgage Kb Rag

v1.0.2

Instant answers to mortgage, credit, and home-buying questions from a curated knowledge base. Ask anything about the buying process, credit repair, loan prog...

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Install

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Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Mortgage Kb Rag" (drivenautoplex1/mortgage-kb-rag) from ClawHub.
Skill page: https://clawhub.ai/drivenautoplex1/mortgage-kb-rag
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

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openclaw skills install mortgage-kb-rag

ClawHub CLI

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npx clawhub@latest install mortgage-kb-rag
Security Scan
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high confidence
Purpose & Capability
Name, description, and documented inputs/outputs align: the skill claims to perform retrieval-augmented answers for mortgage/home-buying queries and its SKILL.md describes search, retrieval, synthesis, and citation behavior — nothing requested (no env vars, no binaries) is out of scope for that purpose.
Instruction Scope
The SKILL.md clearly limits behavior to searching a curated knowledge base and returning cited answers with a knowledge_gap guard. However, it does not specify where or how the indexed knowledge base is stored/hosted or what mechanism the agent should use to access it (no config paths, no API endpoints, no storage details). That omission is an operational gap but not necessarily malicious — you should confirm where the KB lives and how queries are routed before trusting production use.
Install Mechanism
Instruction-only skill with no install spec and no code files; nothing will be written to disk during install. This is the lowest-risk model and matches the described behavior.
Credentials
The skill requests no environment variables, credentials, or config paths. For a retrieval Q&A skill this is proportionate — there is no unexplained request for secrets or system access.
Persistence & Privilege
always:false and default model-invocation behavior. The skill does not request permanent/privileged presence or modification of other skills. Autonomous invocation is allowed but is the platform default.
Assessment
This skill appears coherent and low-risk as an instruction-only RAG Q&A tool, but before installing you should: 1) Ask the publisher where the indexed knowledge base is hosted and how queries are routed (local index, platform-managed index, or external API). 2) Confirm data handling and retention policies — whether user queries (which may include personal financial details) are logged, stored, or sent to third parties. 3) Verify source citations and update cadence (the doc claims monthly updates and ~450 Q&As). 4) Test the skill with non-sensitive/sample queries to confirm accuracy and the 'knowledge_gap' behavior. 5) If you plan to use it for customer-facing advice, check regulatory/ liability implications for mortgage or lending guidance. If the publisher cannot explain where the KB lives or how queries are processed, treat that as a red flag and avoid installing.

Like a lobster shell, security has layers — review code before you run it.

latestvk97en88kg9gay87803ybf4qpmh83s2pa
126downloads
0stars
3versions
Updated 1mo ago
v1.0.2
MIT-0

Mortgage Knowledge Base RAG

Answer any mortgage or home-buying question instantly from a curated expert knowledge base. No hallucination — every answer is grounded in the indexed documents.

What It Does

Given a plain-English question, this skill:

  1. Searches the mortgage and real estate knowledge base using semantic similarity
  2. Retrieves the most relevant passages (with source citations)
  3. Synthesizes a clear, accurate answer — citing which document it came from
  4. Flags gaps — if the question isn't in the knowledge base, says so rather than guessing

Use Cases

  • MLOs answering client questions quickly without Googling
  • Real estate agents prepping for buyer consultations
  • First-time buyers who need straight answers about the process
  • Agents building FAQ content for their websites
  • Verifying what a lender told you is actually correct

Inputs

{
  "query": "What credit score do I need to buy a house?",
  "category": "credit|loans|process|terminology|programs|investing",
  "detail_level": "brief|standard|detailed",
  "audience": "buyer|agent|mlo|investor"
}
  • query (required): Any natural-language question about mortgages, credit, or home buying
  • category (optional): Narrows search to a specific knowledge domain
  • detail_level (optional, default: standard): How much detail to return
  • audience (optional, default: buyer): Tailors language complexity to the reader

Outputs

{
  "answer": "To qualify for a conventional loan, most lenders require a minimum 620 credit score. FHA loans accept scores as low as 580 with 3.5% down, or 500 with 10% down. However, a score above 740 gets you the best rates — typically 0.5-1.0% lower APR than a 620, which translates to $150-300/month on a $350K loan.",
  "confidence": "high",
  "sources": [
    {
      "document": "First-Time Buyer Roadmap",
      "section": "Phase 1: Financial Snapshot",
      "relevance": 0.94
    },
    {
      "document": "90-Day Credit Repair Playbook",
      "section": "Home Price Math: Real Dollar Impact by Credit Tier",
      "relevance": 0.87
    }
  ],
  "related_questions": [
    "How do I improve my credit score in 90 days?",
    "What is the difference between FHA and conventional loans?",
    "How much does a 1-point credit score difference affect my mortgage rate?"
  ],
  "knowledge_gap": false
}

Knowledge Base Coverage

The indexed knowledge base covers:

Credit & Financing

  • Credit score tiers and their rate impact (real dollar math)
  • The 5 credit factors and which to improve first
  • FHA, conventional, VA, USDA loan programs
  • Down payment assistance programs (national + state-level)
  • Debt-to-income ratio calculation and limits
  • What triggers hard vs. soft credit inquiries

The Buying Process

  • Pre-approval vs. pre-qualification (what agents actually care about)
  • Making competitive offers in different market conditions
  • Inspection timelines and what to push back on
  • Closing costs breakdown (who pays what)
  • The 45-day closing timeline step-by-step
  • What NOT to do after going under contract

Credit Repair

  • Dispute letter process (FCRA rights)
  • Pay-for-delete negotiation strategy
  • Goodwill letter templates and when they work
  • Credit utilization optimization (fastest score mover)
  • Authorized user strategy
  • 48-hour rapid rescore process

Market & Terminology

  • 40+ glossary terms (escrow, PMI, LTV, DTI, rate lock, etc.)
  • How to read a Loan Estimate (LE) vs. Closing Disclosure (CD)
  • Rate lock timing strategy
  • Understanding APR vs. interest rate

Lead Nurture & Follow-Up (MLO/Agent Tools)

  • 90-day credit repair client journey
  • Follow-up script patterns by lead stage
  • Objection handling (rates, timing, affordability)

Pricing

TierPriceQueries
Single query$11 question
Pack$710 questions
Unlimited (30 days)$19Unlimited

Technical Notes

  • Knowledge base: ~450 Q&A pairs + sourced document passages
  • Retrieval: TF-IDF + semantic re-ranking
  • Latency: <2s for standard queries
  • Hallucination guard: returns knowledge_gap: true if confidence < 0.70
  • Updates: knowledge base refreshed monthly with new loan program data

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