data-product-registration-expert
Prepare Data Products for Registration
Data resources often lack the definitions and evidence required for registration. This skill structures product specifications, sample controls, and listing materials.
๋ด ์์ด์ ํธ๋ก ์ค์น
์ด ์์ฒญ์ ์์ด์ ํธ์ ๋ณต์ฌํ์ธ์. ๊ณต์ Skill ํ์ด์ง์ ๋งค๋ํ์คํธ๊ฐ ํฌํจ๋์ด ์์ต๋๋ค.
Review the Skillstore skill "data-product-registration-expert" from https://skillstore.io/skills/dhturing-data-product-registration-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-data-product-registration-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-product-registration-expert" ์ฌ์ฉ ์ค์ ๋๋ค. Assess a monthly company registry dataset delivered as CSV files.
์์ ๊ฒฐ๊ณผ:
- Readiness: Conditional.
- Strengths: Repeatable monthly delivery and a defined file format.
- Gaps: Field scope, rights evidence, quality report, and permitted uses.
- Next step: Confirm authorization before drafting the product definition.
"data-product-registration-expert" ์ฌ์ฉ ์ค์ ๋๋ค. Define a regional retail index API for exchange registration.
์์ ๊ฒฐ๊ณผ:
- Product type: Data API.
- Scope: Regional retail index values with documented periods and coverage.
- Delivery: Authenticated API with a declared update schedule.
- Open items: Quality grade, operating rights, usage limits, and pricing evidence.
"data-product-registration-expert" ์ฌ์ฉ ์ค์ ๋๋ค. Review a listing package that includes raw customer records as samples.
์์ ๊ฒฐ๊ณผ:
- Status: Not ready for submission.
- Critical gap: The sample may expose personal information.
- Required action: Replace it with a representative de-identified sample.
- Review requirement: Obtain privacy and compliance approval before release.
๋ณด์ ๊ฐ์ฌ
์์ All 12 static findings are false positives caused by Markdown formatting, documentation links, an installation path, and UTF-8 Chinese text. No executable commands, network requests, hidden-file operations, encoded payloads, or prompt injection were 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-product-registration-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown ๋ฐฐ์ง
[](https://skillstore.io/skills/dhturing-data-product-registration-expert?utm_source=security_passport_badge)HTML ๋ฐฐ์ง
<a href="https://skillstore.io/skills/dhturing-data-product-registration-expert?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dhturing-data-product-registration-expert/security.svg" alt="Skillstore security assessment" loading="lazy"></a>์๋ฒ ๋ ์นด๋
<iframe src="https://skillstore.io/embed/skills/dhturing-data-product-registration-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-product-registration-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-product-registration-expert/audits/1BibTeX ์ธ์ฉ
@techreport{dhturing-data-product-registration-expert-2026,
author = {ๅพ็ตๆฐ็},
title = {data-product-registration-expert security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/dhturing-data-product-registration-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-product-registration-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-product-registration-expert/audits/1"
identifiers:
- type: other
value: "skillstore:dhturing-data-product-registration-expert:audit:1"
description: "Skillstore immutable audit report identifier"
Skillstore ์ ์
์ด ์ ์์ ์ด์ ์ฆ๊ฑฐ ์ ๋ขฐ๋: ์ค๊ฐ๋ง๋ค ์ ์๋ ๊ฒ
Evaluate Product Readiness
Review a data resource and identify changes needed for repeatable delivery and sale.
Draft Registration Materials
Create consistent product specifications and exchange information from supplied evidence.
Prepare a Listing Package
Check sample controls and assemble the documents required for exchange review.
์ด ํ๋กฌํํธ๋ฅผ ์ฌ์ฉํด ๋ณด์ธ์
Assess whether this data resource can become a repeatable product. List missing information and the next three actions: [resource description].
Define the product name, type, scope, update frequency, delivery method, quality level, and rights from this evidence: [evidence]. Flag unsupported claims.
Draft a data product specification and exchange information form for [product]. Keep both documents consistent and mark every unresolved field.
Audit this listing package against product, ownership, quality, compliance, pricing, and sample requirements. Rank gaps by approval impact: [materials summary].
๋ชจ๋ฒ ์ฌ๋ก
- Provide current exchange templates, supporting evidence, and a clear target jurisdiction.
- Mark unknown facts explicitly and assign an owner for every unresolved item.
- Require privacy, legal, quality, and business review before submitting materials.
ํผํ๊ธฐ
- Do not treat a single-client service as a reusable product without redesign.
- Do not claim ownership, quality, or compliance without supporting documents.
- Do not share raw personal, confidential, or commercially sensitive data as samples.
์์ฃผ ๋ฌป๋ ์ง๋ฌธ
What information should I provide first?
Can this skill decide whether registration will be approved?
Does resource registration replace product registration?
Can it create a de-identified sample?
Does it support every data exchange?
Can it provide legal or regulatory approval?
๊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-product-registration-expert์ฐธ์กฐ
50b73f83991cf073cbdf3f5afad2bbac71dd3bae
์ ์ง๋ณด์ ์ต์ ์ฑ
2026. 9. 30.
์ฌ์ฉ๋
0 ๋ค์ด๋ก๋ ยท 0 ์กฐํ
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