Skills data-insurance-expert

📦

data-insurance-expert

Name: data-insurance-expert
Author: 图灵数盟

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

Assess Data Insurance Risks and Coverage

Organizations often lack a structured way to match data risks with suitable insurance coverage. This skill produces practical assessments, coverage plans, exclusion reviews, and claims checklists.

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

Test it

Using "data-insurance-expert". Assess insurance needs for a customer analytics dataset containing personal information.

Expected outcome:

Primary risks include unauthorized disclosure, service interruption, regulatory response costs, and third-party claims. Consider cyber and E&O coverage, then verify privacy exclusions.

Using "data-insurance-expert". Compare two policies when one has a lower premium but excludes known vulnerabilities.

Expected outcome:

The lower premium may create a material coverage gap. Compare remediation requirements, vulnerability definitions, reporting deadlines, limits, deductibles, and the cost of retained risk.

Using "data-insurance-expert". Prepare an insurance disclosure for a lender reviewing a data-backed financing request.

Expected outcome:

State the insurer, policy period, limits, deductibles, and major exclusions. Explain that coverage reduces financial risk but does not guarantee asset value or financing approval.

Security Audit

Safe

v1 • 9/27/2026 Open versioned report

All 12 static findings are false positives caused by Markdown syntax, installation documentation, ordinary website links, or entropy heuristics applied to Chinese text. The reviewed files contain no executable commands, network operations, obfuscated payloads, or prompt injection attempts.

Files scanned

364

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

Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.

Open versioned report

Copy report link

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

Markdown badge

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Embed card

<iframe src="https://skillstore.io/embed/skills/dhturing-data-insurance-expert.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>

Academic citations (APA · BibTeX · CFF)

APA citation

图灵数盟. (2026). data-insurance-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-insurance-expert/audits/1

BibTeX citation

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

Create an insurable risk register for data assets before requesting broker quotations.

Compare policy coverage

Compare proposed policies by coverage limits, deductibles, exclusions, waiting periods, and disclosure duties.

Prepare financing disclosure

Explain insurance coverage and remaining risks to lenders or transaction partners without presenting insurance as a guarantee.

Try These Prompts

Identify basic data risks

List the insurable risks for [data asset]. Cover leakage, alteration, loss, infringement, and service errors. State what information is missing.

Design a coverage mix

Design an insurance mix for [organization]. Compare cyber, data-loss, E&O, and intellectual property coverage. Explain suggested limits and deductibles.

Review policy exclusions

Review these policy terms: [terms]. Create a plain-language exclusion table. Identify coverage gaps, disclosure duties, waiting periods, and questions for the broker.

Build a claims and financing package

Using [incident facts] and [policy terms], prepare a claims evidence checklist and financing disclosure. Separate covered, uncertain, excluded, and uninsured losses.

Best Practices

Provide current asset values, data classifications, security controls, incident history, and complete policy wording.
Request plain-language explanations for every exclusion, condition, sublimit, waiting period, and reporting deadline.
Validate recommendations with licensed brokers, insurers, and legal advisers before making coverage or claims decisions.

Avoid

Do not select a policy using premium alone while ignoring exclusions and coverage limits.
Do not conceal incidents, vulnerabilities, or material risk facts during underwriting.
Do not describe insurance as legal immunity, an asset guarantee, or assurance of financing approval.