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.
使用我的智慧代理安裝
將此請求複製給你的智慧代理,其中包含權威 Skill 頁面和清單。
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.你的智慧代理仍應顯示其計畫,並依安全政策請求必要確認。
Agent 可讀資源
當 AI Agent、爬蟲或腳本需要乾淨脈絡、而不是讀取完整頁面時,請使用這些連結。
測試它
正在使用「data-product-registration-expert」。 Assess a monthly company registry dataset delivered as CSV files.
預期結果:
- 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.
正在使用「data-product-registration-expert」。 Define a regional retail index API for exchange registration.
預期結果:
- 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.
正在使用「data-product-registration-expert」。 Review a listing package that includes raw customer records as samples.
預期結果:
- 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.
安全審計
安全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.
風險因素
📁 檔案系統存取 (2)
⚙️ 外部命令 (3)
🌐 網路存取 (2)
分享與引用此報告
分享版本化評估報告、中性徽章、嵌入卡片與引用。Skillstore 只報告證據,不判斷該 Skill 是否安全。
複製報告連結
https://skillstore.io/skills/dhturing-data-product-registration-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown 徽章
[](https://skillstore.io/skills/dhturing-data-product-registration-expert?utm_source=security_passport_badge)HTML 徽章
<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>嵌入卡片
<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>學術引用 (APA · BibTeX · CFF)
APA 引用
图灵数盟. (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 引用
@techreport{dhturing-data-product-registration-expert-2026,
author = {图灵数盟},
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: "图灵数盟"
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 評分
評分依據 證據置信度: 中你可以打造什麼
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.
試試這些提示
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].
最佳實務
- 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.
避免
- 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.
常見問題
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?
開發者詳細資訊
作者
图灵数盟授權
MIT
Skillstore 修訂
r1
版本提示
作者未聲明版本。
引用
50b73f83991cf073cbdf3f5afad2bbac71dd3bae
維護新鮮度
2026/9/30
使用量
0 次下載 · 0 次瀏覽
檔案結構