스킬 data-cost-attribution-expert

📦

data-cost-attribution-expert

Name: data-cost-attribution-expert
Author: 图灵数盟

콘텐츠 리비전 r1 안전 📁 파일 시스템 접근⚙️ 외부 명령어🌐 네트워크 접근

Build Auditable Data Resource Cost Schedules

Organizations often lack a consistent method to identify and support data-resource costs. This skill structures classification, stage assessment, allocation, and evidence planning.

지원: Claude Codex Code(CC)

🥉 77 브론즈

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에이전트 요청

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

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Markdown 상세 GET /skills/dhturing-data-cost-attribution-expert.md 서명된 manifest GET /api/skills/dhturing-data-cost-attribution-expert/manifest 서명된 lockfile GET /api/skills/dhturing-data-cost-attribution-expert/lockfile

테스트해 보기

"data-cost-attribution-expert" 사용 중입니다. Classify payroll, cloud hosting, feasibility research, and staff training for a customer data platform.

예상 결과:

Development payroll: direct labor, subject to time records and the capitalization start date.
Development cloud hosting: direct expense when usage is traceable to the platform.
Feasibility research: research-stage expense, not capitalized.
General staff training: excluded from the data-resource cost base.

"data-cost-attribution-expert" 사용 중입니다. Choose an allocation basis for one engineering team supporting three data products.

예상 결과:

Use approved labor hours when work logs reliably identify effort by product. Document exceptions, review rates monthly, and reconcile allocated hours to payroll.

"data-cost-attribution-expert" 사용 중입니다. List the evidence needed to support a capitalization start date.

예상 결과:

Approved project initiation or technical feasibility decision.
Evidence of intended completion and planned use or sale.
Resource and budget approvals.
A reliable method for measuring development expenditure.

보안 감사

안전

v1 • 2026. 9. 27. 버전별 보고서 열기

All 12 static findings are false positives caused by Markdown paths, inline code formatting, public website links, and normal Chinese-language text. The reviewed files contain no executable commands, active network access, obfuscated payloads, or prompt injection.

스캔된 파일

402

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검토 항목

오탐 무시됨

위험 요인

📁 파일 시스템 접근 (2)

profile.md:38 profile.md:38

⚙️ 외부 명령어 (3)

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

🌐 네트워크 접근 (2)

SKILL.md:6 SKILL.md:12

가장 최근에 완료된 정적·의미론적 감사에서 확인된 보안 발견 사항이 감지되지 않았습니다. 이는 스킬에 부작용이 없음을 증명하지 않습니다.

감사자: codex

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버전별 보고서 열기

보고서 링크 복사

https://skillstore.io/skills/dhturing-data-cost-attribution-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdown 배지

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

HTML 배지

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

임베드 카드

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

학술 인용 (APA · BibTeX · CFF)

APA 인용

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

BibTeX 인용

@techreport{dhturing-data-cost-attribution-expert-2026,
  author = {图灵数盟},
  title = {data-cost-attribution-expert security audit report (audit version 1)},
  institution = {Skillstore},
  year = {2026},
  number = {1},
  url = {https://skillstore.io/skills/dhturing-data-cost-attribution-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: "data-cost-attribution-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-data-cost-attribution-expert/audits/1"
identifiers:
  - type: other
    value: "skillstore:dhturing-data-cost-attribution-expert:audit:1"
    description: "Skillstore immutable audit report identifier"

Skillstore 점수

이 점수의 이유 증거 신뢰도: 중간

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유지보수성

콘텐츠

커뮤니티

사양 준수

만들 수 있는 것

Prepare a cost inventory

Map ledger items to cost categories, exclusions, periods, and supporting records before closing the accounts.

Define project allocation rules

Choose a consistent basis for splitting shared team, cloud, and service costs across data projects.

Review capitalization evidence

Test stage boundaries, capitalization conditions, calculations, and document references before formal assurance work.

이 프롬프트를 사용해 보세요

Classify basic costs

Classify these data-project expenses into the four cost categories or exclusions: [expense list]. Explain each decision and identify missing evidence.

Assess project stages

Review this project timeline: [timeline]. Separate research and development periods, test the five capitalization conditions, and list evidence needed for each conclusion.

Design an allocation method

Compare labor hours, data volume, usage frequency, and benefit ratios for [shared costs]. Recommend a basis, formula, controls, and consistency rules.

Plan an audit-ready attribution

Create an end-to-end cost attribution plan for [data resource]. Include scope, stage gates, collection tables, formulas, evidence indexes, checks, and unresolved judgments.

모범 사례

Define the cost object, capitalization dates, currency, and reporting period before collecting records.
Prefer direct attribution and use documented, consistent allocation methods only for shared costs.
Link every included amount to source evidence and record unresolved judgments separately.

피하기

Do not capitalize research, routine maintenance, training, advertising, or unsupported management costs.
Do not use valuation estimates as substitutes for actual cost in initial measurement.
Do not change allocation methods to increase a preferred capitalization amount.

자주 묻는 질문

Does this skill provide an official accounting opinion?

No. It supports analysis and documentation, but qualified professionals must approve accounting treatment and assurance conclusions.

Can all data-team payroll be capitalized?

No. Only supported development work may qualify, subject to stage, participation, measurement, and applicable accounting requirements.

Which allocation method is best?

Direct attribution is preferred. For shared costs, choose the method that best represents consumption and can be applied consistently.

Are invoices required for every cost?

External purchases generally need contracts and invoices. Payroll can use payroll, social insurance, assignment, and time records.

Can earlier costs be reconstructed?

They may be analyzed, but recognition depends on effective dates, reliable records, and applicable rules against retrospective adjustment.

What should I provide first?

Provide the resource scope, project timeline, approvals, ledger details, payroll, time records, contracts, invoices, cloud bills, and current accounting policy.