data-asset-lifecycle-expert
Manage the Full Data Asset Lifecycle
Data asset programs often lack connected policies, ownership, workflows, and measurable controls. This skill designs a practical lifecycle system from planning through disposal and oversight.
๋ด ์์ด์ ํธ๋ก ์ค์น
์ด ์์ฒญ์ ์์ด์ ํธ์ ๋ณต์ฌํ์ธ์. ๊ณต์ Skill ํ์ด์ง์ ๋งค๋ํ์คํธ๊ฐ ํฌํจ๋์ด ์์ต๋๋ค.
Review the Skillstore skill "data-asset-lifecycle-expert" from https://skillstore.io/skills/dhturing-data-asset-lifecycle-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-data-asset-lifecycle-expert/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.์์ด์ ํธ๋ ๊ณ์ํด์ ๊ณํ์ ํ์ํ๊ณ ๋ณด์ ์ ์ฑ ์์ ์๊ตฌํ๋ ํ์ธ์ ์์ฒญํด์ผ ํฉ๋๋ค.
์์ด์ ํธ๊ฐ ์ฝ๊ธฐ ์ฌ์ด ๋ฆฌ์์ค
AI ์์ด์ ํธ, ํฌ๋กค๋ฌ, ์คํฌ๋ฆฝํธ๊ฐ ์ ์ฒด ํ์ด์ง ๋์ ์ ๋ฆฌ๋ ์ปจํ ์คํธ๋ง ํ์ํ ๋ ์ด ๋งํฌ๋ฅผ ์ฌ์ฉํ์ธ์.
ํ ์คํธํด ๋ณด๊ธฐ
"data-asset-lifecycle-expert" ์ฌ์ฉ ์ค์ ๋๋ค. We have completed accounting recognition, but we have no asset register, policy, or designated owner.
์์ ๊ฒฐ๊ณผ:
- Assessment: L1 fragmented level.
- Priority 1: appoint a responsible department and named owner.
- Priority 2: establish a data asset register linked to financial records.
- Priority 3: issue a core management policy with review and disposal controls.
"data-asset-lifecycle-expert" ์ฌ์ฉ ์ค์ ๋๋ค. Design a data asset governance structure for a group with five subsidiaries.
์์ ๊ฒฐ๊ณผ:
The group sets policy, standards, indicators, and consolidated oversight. Each subsidiary maintains its register, executes controls, and reports changes quarterly.
"data-asset-lifecycle-expert" ์ฌ์ฉ ์ค์ ๋๋ค. Create measurable indicators for our quarterly data asset review.
์์ ๊ฒฐ๊ณผ:
- Asset scale: recognized and managed assets by legal entity.
- Use rate: active assets divided by available assets.
- Return rate: attributable income divided by the defined asset base.
- Registration completion: registered assets divided by assets requiring registration.
- Compliance rate: compliant reviewed items divided by all reviewed items.
๋ณด์ ๊ฐ์ฌ
์์ All 12 static findings are false positives caused by Markdown formatting, documented installation paths, public attribution links, or Chinese text entropy. No executable behavior, covert network activity, obfuscated payload, or prompt injection was found.
์ํ ์์ธ
๐ ํ์ผ ์์คํ ์ ๊ทผ (2)
โ๏ธ ์ธ๋ถ ๋ช ๋ น์ด (3)
๐ ๋คํธ์ํฌ ์ ๊ทผ (2)
์ด ๋ณด๊ณ ์ ๊ณต์ ๋ฐ ์ธ์ฉ
๋ฒ์ ์ด ์ง์ ๋ ํ๊ฐ ๋ณด๊ณ ์, ์ค๋ฆฝ ๋ฐฐ์ง, ์๋ฒ ๋ ์นด๋ ๋ฐ ์ธ์ฉ์ ๊ณต์ ํ์ธ์. Skillstore๋ ๊ทผ๊ฑฐ๋ฅผ ๋ณด๊ณ ํ์ง๋ง ์ด Skill์ ์์ ์ฌ๋ถ๋ฅผ ํ๋จํ์ง ์์ต๋๋ค.
๋ณด๊ณ ์ ๋งํฌ ๋ณต์ฌ
https://skillstore.io/skills/dhturing-data-asset-lifecycle-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown ๋ฐฐ์ง
[](https://skillstore.io/skills/dhturing-data-asset-lifecycle-expert?utm_source=security_passport_badge)HTML ๋ฐฐ์ง
<a href="https://skillstore.io/skills/dhturing-data-asset-lifecycle-expert?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dhturing-data-asset-lifecycle-expert/security.svg" alt="Skillstore security assessment" loading="lazy"></a>์๋ฒ ๋ ์นด๋
<iframe src="https://skillstore.io/embed/skills/dhturing-data-asset-lifecycle-expert.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>ํ์ ์ธ์ฉ (APA ยท BibTeX ยท CFF)
APA ์ธ์ฉ
ๅพ็ตๆฐ็. (2026). data-asset-lifecycle-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-asset-lifecycle-expert/audits/1BibTeX ์ธ์ฉ
@techreport{dhturing-data-asset-lifecycle-expert-2026,
author = {ๅพ็ตๆฐ็},
title = {data-asset-lifecycle-expert security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/dhturing-data-asset-lifecycle-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-asset-lifecycle-expert security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "ๅพ็ตๆฐ็"
date-released: "2026-09-27"
url: "https://skillstore.io/skills/dhturing-data-asset-lifecycle-expert/audits/1"
identifiers:
- type: other
value: "skillstore:dhturing-data-asset-lifecycle-expert:audit:1"
description: "Skillstore immutable audit report identifier"
Skillstore ์ ์
์ด ์ ์์ ์ด์ ์ฆ๊ฑฐ ์ ๋ขฐ๋: ์ค๊ฐ๋ง๋ค ์ ์๋ ๊ฒ
Assess governance maturity
Evaluate current policies, registers, roles, and controls. Produce a prioritized path from fragmented practices to a managed system.
Build a policy framework
Design a core data asset policy with focused rules for ownership, quality, cost, registers, operations, security, and disposal.
Create performance controls
Define indicators, data owners, collection methods, review frequency, and reporting templates for ongoing management.
์ด ํ๋กฌํํธ๋ฅผ ์ฌ์ฉํด ๋ณด์ธ์
Assess our data asset management maturity. We have [policies], [register status], [responsible team], and [current activities]. Identify our level and three priorities.
Design governance for [organization type] with [business units]. Define decision, management, and execution roles. Include responsibilities, escalation paths, and meeting cadence.
Create a phased plan covering planning, formation, registration, use, disposal, and oversight. For each phase, specify owners, inputs, outputs, controls, and timing.
Design an integrated data asset framework for [organization]. Connect policies, workflows, registers, financial records, performance indicators, audits, and disposal approvals. State assumptions and gaps.
๋ชจ๋ฒ ์ฌ๋ก
- Confirm the legal entity, objectives, and asset scope before designing controls.
- Assign one accountable owner, one required output, and one deadline to every lifecycle step.
- Verify policy citations, accounting treatments, and local requirements with qualified specialists.
ํผํ๊ธฐ
- Do not treat accounting recognition as a complete lifecycle management system.
- Do not create policies without owners, operating procedures, records, and review mechanisms.
- Do not pursue advanced monetization before ownership, compliance, quality, and registration controls are ready.
์์ฃผ ๋ฌป๋ ์ง๋ฌธ
What lifecycle stages does this skill cover?
Can it assess our current maturity?
Can it draft governance policies?
Does it replace legal or accounting advice?
What information should I provide?
Can small organizations use the framework?
๊ฐ๋ฐ์ ์ธ๋ถ ์ ๋ณด
์์ฑ์
ๅพ็ตๆฐ็๋ผ์ด์ ์ค
MIT
Skillstore ๋ฆฌ๋น์
r1
๋ฒ์ ์๋ด
์์ฑ์๊ฐ ๋ฒ์ ์ ์ ์ธํ์ง ์์์ต๋๋ค.
๋ฆฌํฌ์งํ ๋ฆฌ
https://github.com/dhturing/turing-data-experts/tree/9c58ffa97ec5b760befef6f910eb23107cdcdbf4/skills/data-asset-lifecycle-expert์ฐธ์กฐ
50b73f83991cf073cbdf3f5afad2bbac71dd3bae
์ ์ง๋ณด์ ์ต์ ์ฑ
2026. 9. 30.
์ฌ์ฉ๋
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