スキル abs-cashflow-modeling-expert

📦

abs-cashflow-modeling-expert

Name: abs-cashflow-modeling-expert
Author: 图灵数盟

コンテンツリビジョン r1 安全 📁 ファイルシステムへのアクセス⚙️ 外部コマンド🌐 ネットワークアクセス

Model ABS Cash Flows and Stress Scenarios

Data-asset ABS structures need defensible cash-flow assumptions and visible downside protection. This skill guides coverage analysis, stress testing, sensitivity review, tranching, and credit enhancement.

対応: Claude Codex Code(CC)

🥉 77 ブロンズ

Maintain this Skill? Claim it 🥉 77 ブロンズ

自分のエージェントでインストール

このリクエストをエージェントにコピーしてください。正規の Skill ページとマニフェストが含まれています。

エージェントリクエスト

Review the Skillstore skill "abs-cashflow-modeling-expert" from https://skillstore.io/skills/dhturing-abs-cashflow-modeling-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-abs-cashflow-modeling-expert/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

エージェントは引き続き計画を提示し、セキュリティポリシーで必要な確認を求める必要があります。

エージェントが読めるリソース

AI エージェント、クローラー、スクリプトがページ全体ではなく整理されたコンテキストを必要とする場合は、これらのリンクを使ってください。

Markdown詳細 GET /skills/dhturing-abs-cashflow-modeling-expert.md 署名済み manifest GET /api/skills/dhturing-abs-cashflow-modeling-expert/manifest 署名済み lockfile GET /api/skills/dhturing-abs-cashflow-modeling-expert/lockfile

テストする

「abs-cashflow-modeling-expert」を使用しています。 The pool has 24 monthly observations, signed contracts, and traceable invoices. Review modeling readiness.

期待される結果:

Readiness: conditional pass. Identification, measurement, and predictability are supported. Confirm transfer rights and remove disputed or related-party receipts before modeling.

「abs-cashflow-modeling-expert」を使用しています。 Baseline minimum coverage is 1.28. Revenue falls by 20 percent and 50 percent.

期待される結果:

Baseline coverage clears the 1.20 reference. The stressed minima are 1.02 and 0.64. Severe stress requires explicit liquidity or payment support.

「abs-cashflow-modeling-expert」を使用しています。 Propose a structure for a concentrated pool targeting stronger senior protection.

期待される結果:

Start with a smaller senior tranche, at least 20 percent junior support, and measurable overcollateralization. Add a largest-customer-loss test before finalizing.

セキュリティ監査

安全

v1 • 2026/9/27 バージョン別レポートを開く

All fourteen static findings are false positives caused by Markdown formatting, installation examples, public links, Chinese text, and dense financial terminology. The reviewed files contain no executable code, active network requests, obfuscated payloads, prompt injection, or unauthorized file access.

スキャンされたファイル

450

解析済み行数

レビュー項目

誤検知を無視

リスク要因

📁 ファイルシステムへのアクセス (3)

profile.md:38 profile.md:38 references/knowledge-base.md:165

⚙️ 外部コマンド (3)

SKILL.md:20 SKILL.md:26 SKILL.md:33

🌐 ネットワークアクセス (2)

SKILL.md:6 SKILL.md:12

最新の完了済み静的・セマンティック監査では、確認済みのセキュリティ検出事項は見つかりませんでした。これは、スキルに副作用がないことを証明するものではありません。

監査者: codex

このレポートを共有・引用

バージョン付き評価レポート、中立的なバッジ、埋め込みカード、引用を共有できます。Skillstore は証拠を報告しますが、この Skill が安全かどうかは判断しません。

バージョン別レポートを開く

レポートリンクをコピー

https://skillstore.io/skills/dhturing-abs-cashflow-modeling-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdownバッジ

[![Skillstore security assessment](https://skillstore.io/badges/skills/dhturing-abs-cashflow-modeling-expert/security.svg)](https://skillstore.io/skills/dhturing-abs-cashflow-modeling-expert?utm_source=security_passport_badge)

HTMLバッジ

<a href="https://skillstore.io/skills/dhturing-abs-cashflow-modeling-expert?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dhturing-abs-cashflow-modeling-expert/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

埋め込みカード

<iframe src="https://skillstore.io/embed/skills/dhturing-abs-cashflow-modeling-expert.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>

学術引用 (APA · BibTeX · CFF)

APA形式の引用

图灵数盟. (2026). abs-cashflow-modeling-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-abs-cashflow-modeling-expert/audits/1

BibTeX形式の引用

@techreport{dhturing-abs-cashflow-modeling-expert-2026,
  author = {图灵数盟},
  title = {abs-cashflow-modeling-expert security audit report (audit version 1)},
  institution = {Skillstore},
  year = {2026},
  number = {1},
  url = {https://skillstore.io/skills/dhturing-abs-cashflow-modeling-expert/audits/1},
  note = {Author version unspecified}
}

CITATION.cff

cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "abs-cashflow-modeling-expert security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
  - name: "图灵数盟"
date-released: "2026-09-27"
url: "https://skillstore.io/skills/dhturing-abs-cashflow-modeling-expert/audits/1"
identifiers:
  - type: other
    value: "skillstore:dhturing-abs-cashflow-modeling-expert:audit:1"
    description: "Skillstore immutable audit report identifier"

Skillstore スコア

このスコアの理由証拠の信頼度: 中

アーキテクチャ

保守性

コンテンツ

コミュニティ

仕様準拠

作成できるもの

Screen a data-asset pool

Test cash-flow eligibility and identify missing evidence before detailed ABS modeling begins.

Challenge downside resilience

Compare coverage under revenue, churn, pricing, and customer concentration shocks.

Prepare a structure proposal

Estimate tranche proportions and enhancement levels for discussion with transaction advisers.

これらのプロンプトを試す

Check modeling readiness

Assess this asset pool for identifiable, measurable, transferable, and predictable cash flows. List missing evidence and state whether modeling should proceed.

Calculate coverage

Using my periodic net cash flows and debt-service schedule, calculate each coverage ratio. Identify the weakest period and explain the result.

Run stress and sensitivity tests

Run baseline, 20 percent downside, and 50 percent downside scenarios. Test churn and pricing separately and together, then identify threshold breakpoints.

Design tranche and enhancement options

Compare three senior and junior tranche structures for my target rating. Quantify overcollateralization, cash-flow coverage, excess spread, and residual risks.

ベストプラクティス

Reconcile every modeled cash flow to contracts, invoices, ledgers, and collection records.
Apply one documented assumption set across baseline, stress, sensitivity, and structure tests.
Report the weakest payment period, assumption sources, breakpoints, and unresolved data gaps.

回避

Do not forecast growth above historical evidence without a documented and testable basis.
Do not use average coverage when one payment period has a material shortfall.
Do not present reference ratios as guaranteed ratings or regulatory approval.

よくある質問

What data should I provide?

Provide periodic collections, contracts, invoices, customer concentration, defaults, recoveries, payment dates, fees, and the proposed debt-service schedule.

Can this skill create an executable financial model?

It can define calculations and analyze supplied data, but the package contains no executable spreadsheet or modeling program.

Which stress scenarios are included?

The playbook uses baseline, 20 percent downside, and 50 percent downside scenarios, plus churn, pricing, and customer concentration tests.

Does a 1.20 coverage ratio guarantee issuance?

No. It is a reference threshold. Asset quality, legal structure, ratings, enhancement, disclosures, and regulatory review still determine feasibility.

How does the skill address concentrated customers?

It recommends reporting the top three customers and testing the complete loss of a major customer.

Can the output replace professional opinions?

No. Rating agencies, counsel, auditors, arrangers, and regulators must review conclusions within their responsibilities.