Skills data-asset-capitalization-team

📦

data-asset-capitalization-team

Name: data-asset-capitalization-team
Author: 图灵数盟

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

Plan Auditable Data Asset Capitalization

Organizations often lack a coordinated process for recognizing data resources as assets. This skill structures evidence, roles, controls, deliverables, and review gates.

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-asset-capitalization-team" from https://skillstore.io/skills/dhturing-data-asset-capitalization-team.md and its manifest at https://skillstore.io/api/skills/dhturing-data-asset-capitalization-team/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-capitalization-team.md Signed manifest GET /api/skills/dhturing-data-asset-capitalization-team/manifest Signed lockfile GET /api/skills/dhturing-data-asset-capitalization-team/lockfile

Test it

Using "data-asset-capitalization-team". Assess whether our customer analytics dataset is ready for capitalization.

Expected outcome:

Decision: remediation required before recognition.
Evidence gaps: usage rights, personal information controls, development-stage approvals, and labor records.
Next review: compliance and ownership evidence must pass before valuation work begins.

Using "data-asset-capitalization-team". Create a project plan for one data product.

Expected outcome:

Phase 1: confirm scope, ownership, legal source, and recognition criteria.
Phase 2: complete inventory, governance, quality testing, cost attribution, and valuation support.
Phase 3: prepare accounting treatment, disclosure, ledger records, and audit evidence.

Using "data-asset-capitalization-team". What should an audit-ready delivery package contain?

Expected outcome:

The package includes source evidence, ownership records, data inventory, quality results, cost schedules, valuation support, accounting conclusions, disclosures, and ledger controls.

Security Audit

Safe

v1 • 9/27/2026 Open versioned report

All static findings are false positives caused by documentation paths, Markdown backticks, ordinary website links, or entropy heuristics on Chinese text. No executable code, network request, obfuscated payload, prompt injection, or harmful intent was found.

Files scanned

254

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:31

🌐 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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https://skillstore.io/skills/dhturing-data-asset-capitalization-team/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-asset-capitalization-team security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-asset-capitalization-team/audits/1

BibTeX citation

@techreport{dhturing-data-asset-capitalization-team-2026,
  author = {图灵数盟},
  title = {data-asset-capitalization-team security audit report (audit version 1)},
  institution = {Skillstore},
  year = {2026},
  number = {1},
  url = {https://skillstore.io/skills/dhturing-data-asset-capitalization-team/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-capitalization-team 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-capitalization-team/audits/1"
identifiers:
  - type: other
    value: "skillstore:dhturing-data-asset-capitalization-team: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 capitalization readiness

Create an evidence checklist, risk register, and first-wave resource shortlist for a data owner.

Prepare an accounting workstream

Map research and development stages, cost evidence, recognition criteria, disclosures, and audit review points.

Coordinate specialist delivery

Assign responsibilities, dependencies, acceptance criteria, and deliverables across a multidisciplinary project.

Try These Prompts

Start a readiness review

Assess capitalization readiness for [data resource]. List required evidence, major risks, responsible roles, and immediate next steps.

Build a delivery plan

Create a phased capitalization plan for [organization]. Include owners, dependencies, deliverables, review gates, and estimated timing.

Design an audit package

Design an audit-ready evidence package for [data resource]. Cover ownership, compliance, quality, costs, valuation, accounting treatment, disclosure, and ledger controls.

Challenge a capitalization case

Review this capitalization case: [case details]. Test assumptions, identify evidence gaps, assign specialists, and recommend proceed, remediate, or stop decisions.

Best Practices

Confirm legal source and ownership before cost attribution, valuation, or accounting design.
Link every conclusion to dated evidence, an accountable owner, and a review status.
Validate accounting, legal, valuation, and audit conclusions with qualified professionals.

Avoid

Do not treat estimated value as automatic evidence for accounting recognition.
Do not inflate costs or valuation assumptions to reach a target asset amount.
Do not continue when ownership, personal information, or source legality remains unresolved.

Frequently Asked Questions

Does this skill decide whether data can be recognized as an asset?

It structures the assessment and evidence. Qualified professionals must approve the final accounting treatment.

Can it value a data asset?

It can organize methods, assumptions, and evidence. A qualified valuer should issue any formal valuation opinion.

Does it process the underlying dataset?

No. It plans governance and assessment work without automatically accessing or copying source data.

Which project stages are covered?

It covers initiation, readiness, compliance, governance, quality, valuation, cost attribution, accounting, disclosure, ledger management, and audit support.

Can it support an existing project?

Yes. Provide the current stage, available evidence, unresolved issues, roles, and required decision.

Are the cited policies always current?

No. Verify every policy, standard, date, and jurisdiction before relying on it.