技能 abs-cashflow-modeling-expert

📦

abs-cashflow-modeling-expert

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

内容修订 r1 安全 📁 文件系统访问⚙️ 外部命令🌐 网络访问

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.

支持: Claude Codex Code(CC)

🥉 77 青铜

使用我的智能体安装

将此请求复制给你的智能体，其中包含权威 Skill 页面和清单。

智能体请求

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.

你的智能体仍应展示其计划，并按安全策略请求必要确认。

Agent 可读资源

当 AI Agent、爬虫或脚本需要干净上下文，而不是读取完整页面时，请使用这些链接。

Markdown 详情 GET /skills/dhturing-abs-cashflow-modeling-expert.md 已签名 manifest GET /api/skills/dhturing-abs-cashflow-modeling-expert/manifest 已签名 lockfile GET /api/skills/dhturing-abs-cashflow-modeling-expert/lockfile

测试它

正在使用“abs-cashflow-modeling-expert”。 The pool has 24 monthly observations, signed contracts, and traceable invoices. Review modeling readiness.

预期结果:

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

正在使用“abs-cashflow-modeling-expert”。 Baseline minimum coverage is 1.28. Revenue falls by 20 percent and 50 percent.

预期结果:

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

正在使用“abs-cashflow-modeling-expert”。 Propose a structure for a concentrated pool targeting stronger senior protection.

预期结果:

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

安全审计

安全

v1 • 2026/9/27 打开版本化报告

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.

已扫描文件

450

分析行数

复核项

已忽略误报

风险因素

📁 文件系统访问 (3)

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

⚙️ 外部命令 (3)

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

🌐 网络访问 (2)

SKILL.md:6 SKILL.md:12

最新一次完成的静态与语义审计未检测到已确认的安全发现。这并不能证明该 Skill 没有副作用。

审计者: codex

分享与引用此报告

分享版本化评估报告、中性徽章、嵌入卡片和引用。Skillstore 只报告证据，不判断该 Skill 是否安全。

打开版本化报告

复制报告链接

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

Markdown 徽章

[![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 徽章

<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>

嵌入卡片

<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>

学术引用 (APA · BibTeX · CFF)

APA 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 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 评分

评分依据证据置信度: 中

架构

可维护性

内容

社区

规范符合性

你能构建什么

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.

试试这些提示

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.

最佳实践

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.

避免

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.

常见问题

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.