Skills data-product-registration-expert

📦

data-product-registration-expert

Name: data-product-registration-expert
Author: 图灵数盟

Content revision r1 Safe 📁 Filesystem access⚙️ External commands🌐 Network access

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.

Supports: Claude Codex Code(CC)

🥉 77 Bronze

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request

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.

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Markdown detail GET /skills/dhturing-data-product-registration-expert.md Signed manifest GET /api/skills/dhturing-data-product-registration-expert/manifest Signed lockfile GET /api/skills/dhturing-data-product-registration-expert/lockfile

Test it

Using "data-product-registration-expert". Assess a monthly company registry dataset delivered as CSV files.

Expected outcome:

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.

Using "data-product-registration-expert". Define a regional retail index API for exchange registration.

Expected outcome:

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.

Using "data-product-registration-expert". Review a listing package that includes raw customer records as samples.

Expected outcome:

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.

Security Audit

Safe

v1 • 9/27/2026 Open versioned report

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.

Files scanned

413

Lines analyzed

Review items

False positives ignored

Risk Factors

📁 Filesystem access (2)

profile.md:38 profile.md:38

⚙️ External commands (3)

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

🌐 Network access (2)

SKILL.md:6 SKILL.md:12

No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.

Audited by: codex

Share & cite this report

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Open versioned report

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

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Academic citations (APA · BibTeX · CFF)

APA citation

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/1

BibTeX citation

@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 Score

Why this score Evidence Confidence: Medium

Architecture

Maintainability

Content

Community

Spec Compliance

What You Can Build

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.

Try These Prompts

Check Basic Readiness

Assess whether this data resource can become a repeatable product. List missing information and the next three actions: [resource description].

Define the Seven Elements

Define the product name, type, scope, update frequency, delivery method, quality level, and rights from this evidence: [evidence]. Flag unsupported claims.

Draft Registration Documents

Draft a data product specification and exchange information form for [product]. Keep both documents consistent and mark every unresolved field.

Audit the Listing Package

Audit this listing package against product, ownership, quality, compliance, pricing, and sample requirements. Rank gaps by approval impact: [materials summary].

Best Practices

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.

Avoid

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.