data-insurance-expert
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.
๋ด ์์ด์ ํธ๋ก ์ค์น
์ด ์์ฒญ์ ์์ด์ ํธ์ ๋ณต์ฌํ์ธ์. ๊ณต์ Skill ํ์ด์ง์ ๋งค๋ํ์คํธ๊ฐ ํฌํจ๋์ด ์์ต๋๋ค.
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.์์ด์ ํธ๋ ๊ณ์ํด์ ๊ณํ์ ํ์ํ๊ณ ๋ณด์ ์ ์ฑ ์์ ์๊ตฌํ๋ ํ์ธ์ ์์ฒญํด์ผ ํฉ๋๋ค.
์์ด์ ํธ๊ฐ ์ฝ๊ธฐ ์ฌ์ด ๋ฆฌ์์ค
AI ์์ด์ ํธ, ํฌ๋กค๋ฌ, ์คํฌ๋ฆฝํธ๊ฐ ์ ์ฒด ํ์ด์ง ๋์ ์ ๋ฆฌ๋ ์ปจํ ์คํธ๋ง ํ์ํ ๋ ์ด ๋งํฌ๋ฅผ ์ฌ์ฉํ์ธ์.
ํ ์คํธํด ๋ณด๊ธฐ
"data-insurance-expert" ์ฌ์ฉ ์ค์ ๋๋ค. Assess insurance needs for a customer analytics dataset containing personal information.
์์ ๊ฒฐ๊ณผ:
Primary risks include unauthorized disclosure, service interruption, regulatory response costs, and third-party claims. Consider cyber and E&O coverage, then verify privacy exclusions.
"data-insurance-expert" ์ฌ์ฉ ์ค์ ๋๋ค. Compare two policies when one has a lower premium but excludes known vulnerabilities.
์์ ๊ฒฐ๊ณผ:
The lower premium may create a material coverage gap. Compare remediation requirements, vulnerability definitions, reporting deadlines, limits, deductibles, and the cost of retained risk.
"data-insurance-expert" ์ฌ์ฉ ์ค์ ๋๋ค. Prepare an insurance disclosure for a lender reviewing a data-backed financing request.
์์ ๊ฒฐ๊ณผ:
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.
๋ณด์ ๊ฐ์ฌ
์์ 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.
์ํ ์์ธ
๐ ํ์ผ ์์คํ ์ ๊ทผ (2)
โ๏ธ ์ธ๋ถ ๋ช ๋ น์ด (3)
๐ ๋คํธ์ํฌ ์ ๊ทผ (2)
์ด ๋ณด๊ณ ์ ๊ณต์ ๋ฐ ์ธ์ฉ
๋ฒ์ ์ด ์ง์ ๋ ํ๊ฐ ๋ณด๊ณ ์, ์ค๋ฆฝ ๋ฐฐ์ง, ์๋ฒ ๋ ์นด๋ ๋ฐ ์ธ์ฉ์ ๊ณต์ ํ์ธ์. Skillstore๋ ๊ทผ๊ฑฐ๋ฅผ ๋ณด๊ณ ํ์ง๋ง ์ด Skill์ ์์ ์ฌ๋ถ๋ฅผ ํ๋จํ์ง ์์ต๋๋ค.
๋ณด๊ณ ์ ๋งํฌ ๋ณต์ฌ
https://skillstore.io/skills/dhturing-data-insurance-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown ๋ฐฐ์ง
[](https://skillstore.io/skills/dhturing-data-insurance-expert?utm_source=security_passport_badge)HTML ๋ฐฐ์ง
<a href="https://skillstore.io/skills/dhturing-data-insurance-expert?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dhturing-data-insurance-expert/security.svg" alt="Skillstore security assessment" loading="lazy"></a>์๋ฒ ๋ ์นด๋
<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>ํ์ ์ธ์ฉ (APA ยท BibTeX ยท CFF)
APA ์ธ์ฉ
ๅพ็ตๆฐ็. (2026). data-insurance-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-insurance-expert/audits/1BibTeX ์ธ์ฉ
@techreport{dhturing-data-insurance-expert-2026,
author = {ๅพ็ตๆฐ็},
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: "ๅพ็ตๆฐ็"
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 ์ ์
์ด ์ ์์ ์ด์ ์ฆ๊ฑฐ ์ ๋ขฐ๋: ์ค๊ฐ๋ง๋ค ์ ์๋ ๊ฒ
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.
์ด ํ๋กฌํํธ๋ฅผ ์ฌ์ฉํด ๋ณด์ธ์
List the insurable risks for [data asset]. Cover leakage, alteration, loss, infringement, and service errors. State what information is missing.
Design an insurance mix for [organization]. Compare cyber, data-loss, E&O, and intellectual property coverage. Explain suggested limits and deductibles.
Review these policy terms: [terms]. Create a plain-language exclusion table. Identify coverage gaps, disclosure duties, waiting periods, and questions for the broker.
Using [incident facts] and [policy terms], prepare a claims evidence checklist and financing disclosure. Separate covered, uncertain, excluded, and uninsured losses.
๋ชจ๋ฒ ์ฌ๋ก
- 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.
ํผํ๊ธฐ
- 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.
์์ฃผ ๋ฌป๋ ์ง๋ฌธ
What types of insurance does this skill cover?
Can it calculate an exact premium?
Can it confirm that a claim will be paid?
Does insurance remove compliance obligations?
What information improves the assessment?
Can insurance support financing or a transaction?
๊ฐ๋ฐ์ ์ธ๋ถ ์ ๋ณด
์์ฑ์
ๅพ็ตๆฐ็๋ผ์ด์ ์ค
MIT
Skillstore ๋ฆฌ๋น์
r1
๋ฒ์ ์๋ด
์์ฑ์๊ฐ ๋ฒ์ ์ ์ ์ธํ์ง ์์์ต๋๋ค.
๋ฆฌํฌ์งํ ๋ฆฌ
https://github.com/dhturing/turing-data-experts/tree/9c58ffa97ec5b760befef6f910eb23107cdcdbf4/skills/data-insurance-expert์ฐธ์กฐ
50b73f83991cf073cbdf3f5afad2bbac71dd3bae
์ ์ง๋ณด์ ์ต์ ์ฑ
2026. 9. 30.
์ฌ์ฉ๋
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