Compétences abs-cashflow-modeling-expert

📦

abs-cashflow-modeling-expert

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

Révision du contenu r1 Sûr 📁 Accès au système de fichiers⚙️ Commandes externes🌐 Accès réseau

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.

Prend en charge: Claude Codex Code(CC)

🥉 77 Bronze

Maintain this Skill? Claim it 🥉 77 Bronze

Installer avec mon Agent

Copiez cette demande dans votre Agent. Elle contient la page Skill de référence et le manifeste.

Demande d’agent

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.

Votre Agent doit toujours présenter son plan et demander toute confirmation exigée par la politique de sécurité.

Ressources lisibles par les agents

Utilisez ces liens lorsqu’un Agent IA, un crawler ou un script a besoin d’un contexte propre au lieu de lire toute la page.

Détail Markdown GET /skills/dhturing-abs-cashflow-modeling-expert.md manifest signé GET /api/skills/dhturing-abs-cashflow-modeling-expert/manifest lockfile signé GET /api/skills/dhturing-abs-cashflow-modeling-expert/lockfile

Tester

Utilisation de « abs-cashflow-modeling-expert ». The pool has 24 monthly observations, signed contracts, and traceable invoices. Review modeling readiness.

Résultat attendu:

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

Utilisation de « abs-cashflow-modeling-expert ». Baseline minimum coverage is 1.28. Revenue falls by 20 percent and 50 percent.

Résultat attendu:

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

Utilisation de « abs-cashflow-modeling-expert ». Propose a structure for a concentrated pool targeting stronger senior protection.

Résultat attendu:

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

Audit de sécurité

Sûr

v1 • 27/09/2026 Ouvrir le rapport versionné

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.

Fichiers analysés

450

Lignes analysées

Éléments à examiner

Faux positifs ignorés

Facteurs de risque

📁 Accès au système de fichiers (3)

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

⚙️ Commandes externes (3)

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

🌐 Accès réseau (2)

SKILL.md:6 SKILL.md:12

Le dernier audit statique et sémantique terminé n’a détecté aucun constat de sécurité confirmé. Cela ne prouve pas que le skill est sans effets secondaires.

Audité par: codex

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Copier le lien du rapport

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

Badge Markdown

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Carte intégrable

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Citations académiques (APA · BibTeX · CFF)

Citation APA

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

Citation BibTeX

@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"

Score Skillstore

Pourquoi ce score Niveau de confiance des preuves: Moyen

Architecture

Maintenabilité

Contenu

Communauté

Conformité aux spécifications

Ce que vous pouvez créer

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.

Essayez ces prompts

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.

Bonnes pratiques

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.

Éviter

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.

Foire aux questions

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.