Skills data-asset-lifecycle-expert

📦

data-asset-lifecycle-expert

Name: data-asset-lifecycle-expert
Author: 图灵数盟

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

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.

Supports: Claude Codex Code(CC)

🥉 78 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-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.

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-asset-lifecycle-expert.md Signed manifest GET /api/skills/dhturing-data-asset-lifecycle-expert/manifest Signed lockfile GET /api/skills/dhturing-data-asset-lifecycle-expert/lockfile

Test it

Using "data-asset-lifecycle-expert". We have completed accounting recognition, but we have no asset register, policy, or designated owner.

Expected outcome:

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.

Using "data-asset-lifecycle-expert". Design a data asset governance structure for a group with five subsidiaries.

Expected outcome:

The group sets policy, standards, indicators, and consolidated oversight. Each subsidiary maintains its register, executes controls, and reports changes quarterly.

Using "data-asset-lifecycle-expert". Create measurable indicators for our quarterly data asset review.

Expected outcome:

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.

Security Audit

Safe

v1 • 9/27/2026 Open versioned report

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.

Files scanned

418

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

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Open versioned report

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Academic citations (APA · BibTeX · CFF)

APA citation

图灵数盟. (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/1

BibTeX citation

@techreport{dhturing-data-asset-lifecycle-expert-2026,
  author = {图灵数盟},
  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: "图灵数盟"
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 Score

Why this score Evidence Confidence: Medium

Architecture

Maintainability

Content

Community

Spec Compliance

What You Can Build

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.

Try These Prompts

Run a basic maturity check

Assess our data asset management maturity. We have [policies], [register status], [responsible team], and [current activities]. Identify our level and three priorities.

Design the governance structure

Design governance for [organization type] with [business units]. Define decision, management, and execution roles. Include responsibilities, escalation paths, and meeting cadence.

Create a lifecycle implementation plan

Create a phased plan covering planning, formation, registration, use, disposal, and oversight. For each phase, specify owners, inputs, outputs, controls, and timing.

Build an integrated control framework

Design an integrated data asset framework for [organization]. Connect policies, workflows, registers, financial records, performance indicators, audits, and disposal approvals. State assumptions and gaps.

Best Practices

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.

Avoid

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.

Frequently Asked Questions

What lifecycle stages does this skill cover?

It covers planning, formation, registration, use, disposal, and continuous oversight and evaluation.

Can it assess our current maturity?

Yes. It uses a four-level internal model based on policies, registers, ownership, process closure, value creation, and performance management.

Can it draft governance policies?

Yes. It can draft a core management policy and specialist policy outlines tailored to your stated context.

Does it replace legal or accounting advice?

No. Qualified professionals must validate legal rights, accounting treatment, valuation, tax, and regulatory conclusions.

What information should I provide?

Provide objectives, legal entities, asset inventory, existing policies, responsible teams, systems, registers, financial links, known gaps, and deadlines.

Can small organizations use the framework?

Yes. A small organization can begin with one policy, one register, one accountable owner, and a limited set of controls.