Skills data-inventory-diagnosis-expert

📦

data-inventory-diagnosis-expert

Name: data-inventory-diagnosis-expert
Author: 图灵数盟

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

Diagnose and Prioritize Enterprise Data Assets

Organizations often lack a reliable view of which data resources deserve investment. This skill maps, scores, and prioritizes assets for focused next steps.

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-inventory-diagnosis-expert" from https://skillstore.io/skills/dhturing-data-inventory-diagnosis-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-data-inventory-diagnosis-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-inventory-diagnosis-expert.md Signed manifest GET /api/skills/dhturing-data-inventory-diagnosis-expert/manifest Signed lockfile GET /api/skills/dhturing-data-inventory-diagnosis-expert/lockfile

Test it

Using "data-inventory-diagnosis-expert". Score customer service records with strong demand, moderate quality, clear ownership, and low compliance risk.

Expected outcome:

Priority category: Priority zone.
Main strength: Clear business demand and ownership.
Main gap: Improve quality controls before expansion.
Next step: Define a limited pilot with measurable outcomes.

Using "data-inventory-diagnosis-expert". Design a two-week inventory for one business unit with five systems and limited documentation.

Expected outcome:

Days 1-2: Confirm scope, owners, confidentiality, and evidence requests.
Days 3-6: Interview business, IT, data, and finance stakeholders.
Days 7-9: Verify metadata, volumes, quality indicators, ownership, and risks.
Day 10: Present the resource map, scores, priorities, and next actions.

Security Audit

Safe

v1 • 9/27/2026 Open versioned report

All 12 static findings are false positives caused by installation documentation, Markdown links, inline code formatting, or high-entropy Chinese text. The reviewed files contain no executable scripts, automated network requests, obfuscated payloads, prompt injection, or instructions to access hidden files during skill use.

Files scanned

410

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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https://skillstore.io/skills/dhturing-data-inventory-diagnosis-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-inventory-diagnosis-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-inventory-diagnosis-expert/audits/1

BibTeX citation

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

Plan an Initial Data Inventory

Create a focused inventory scope, evidence request, interview plan, and delivery schedule.

Select First Data Asset Projects

Score candidate resources and select one to three practical projects for the first phase.

Prepare an Executive Diagnosis

Turn inventory evidence into a heat map, priority matrix, risk list, and action plan.

Try These Prompts

Start a Basic Inventory

Create a data inventory plan for [organization]. Cover [scope] and list the documents, stakeholders, and nine interview questions required.

Score Candidate Resources

Score these data resources using the DMS weights: [resources and evidence]. Show each factor, assumption, total score, and recommended category.

Verify Data Volume Claims

Assess this data volume claim: [claim]. Design read-only sampling, screenshot, metadata, and database-statistic checks without retaining source data.

Build an Executive Roadmap

Use [inventory evidence] to create a full diagnosis. Include quality and ownership risks, a priority matrix, three first projects, costs, benefits, and dependencies.