mortgage-loan-fallout-premortem

mortgage-loan-fallout-premortem is a skill for Claude Code, Codex from deciqAI/knowledge-skills. It costs 74 tokens per session (726 once invoked), scanned A, original, MIT.

A mortgage-specific premortem: a review that imagines a loan has failed before closing and works backward to find the likely causes.

In plain words
What is it for?
It helps loan teams review submitted or underwritten files, especially rate-locked, borderline, or thin-file applications.
Why use it?
It helps uncover problems while there is still time to fix them, such as failed income checks, unsourced deposits, credit changes, low appraisals, or title issues.

Skill for Claude CodeCodex

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

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is **Industry front door for [premortem](../premortem/SKILL.md).** Adds domain triggers, example, packs only. Parent Process unchanged..

Good fit It helps loan teams review submitted or underwritten files, especially rate-locked, borderline, or thin-file applications.

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Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/deciqAI/knowledge-skills
agentmods
npx agentmods add skills/deciqai/knowledge-skills/mortgage-loan-fallout-premortem

Made for: Claude Code, Codex.

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README.md
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Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 726 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 $0.00074 $0.00726
Opus 5 $0.00037 $0.00363
Sonnet 5 $0.00015 $0.00145
Haiku 4.5 $0.00007 $0.00073

Measured 9d ago against content hash 72072a627811, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

mortgage-loan-fallout-premortem 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.

mortgage-loan-fallout-premortem/SKILL.md · 56 lines

How it starts

The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Mortgage — Loan Fallout Premortem

Industry front door for premortem. Adds domain triggers, example, packs only. Parent Process unchanged. Guidance, not professional advice. No legal, tax, financial or regulatory advice; verify anything jurisdiction- or rate-dependent against current authority. The professional who acts owns the decision.

Activate when: a file is submitted or in underwriting; rate lock is ticking; "what could kill this loan before closing?"; thin-file or borderline borrower. Do NOT activate when: clear-to-close with no open conditions.

Why this variant

The parent premortem imagines the failure and works backward. Loan fallout (denied/withdrawn after lock) wastes the borrower's rate, the LO's pipeline, and risks a lock extension cost. Premortem surfaces the killers while there's still time to cure.

Domain inputs → parent's Process

Imagine the loan died at underwriting — why?

  • Income/employment: VVOE fails, gap, variable-income miscalc.
  • Assets: large deposits unsourced, insufficient reserves.
  • Credit: new inquiry/tradeline mid-process changes DTI.
  • Appraisal: comes in low; property/condition issues.
  • Title/insurance/HOA: liens, uninsurable, HOA litigation. For each likely killer, cure or condition now, before the lock burns.

Worked example

Self-employed borrower, lock expires in 21 days. → Premortem flags: unsourced $20k deposit + P&L not yet CPA-reviewed. Cure now (paper trail + statement) so it doesn't detonate on day 18 forcing a costly extension.

Compliance anchors

  • If denial results, ECOA adverse-action notice within required timing; document the reason.

Packs

  • Solo LO: top-10 fallout-cause pre-submission scrub.
  • Brokerage: condition-clearing SLA tied to lock timeline.

Red flags

  • Large deposits / new credit not addressed early.
  • Variable income taken at face value.
  • Appraisal risk ignored on unique properties.

Verification

  • Likely fallout causes enumerated
  • Each cured or conditioned before lock burns
  • Lock timeline vs condition SLA reconciled
  • Adverse-action path ready if denied

Read the full file on GitHub · 56 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. 9d ago First seen · 56 lines · 74 tokens per session scan A 72072a627811

Subscribe to this mod's changes

mortgage-loan-fallout-premortem is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 11d ago), licensed MIT. It adds 74 tokens to every session and 726 once invoked, about $0.0004 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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