data-broker-expert
Structure Compliant Data Brokerage Deals
Data brokerage teams need structured methods to match parties, verify eligibility, and protect fees. This skill provides workflows, checklists, and document outlines for each stage.
๋ด ์์ด์ ํธ๋ก ์ค์น
์ด ์์ฒญ์ ์์ด์ ํธ์ ๋ณต์ฌํ์ธ์. ๊ณต์ Skill ํ์ด์ง์ ๋งค๋ํ์คํธ๊ฐ ํฌํจ๋์ด ์์ต๋๋ค.
Review the Skillstore skill "data-broker-expert" from https://skillstore.io/skills/dhturing-data-broker-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-data-broker-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-broker-expert" ์ฌ์ฉ ์ค์ ๋๋ค. Compare brokerage roles for a small firm that has buyer relationships but no sponsorship qualification.
์์ ๊ฒฐ๊ณผ:
- Recommended role: matching broker.
- Scope: identify needs, match suppliers, coordinate validation, and support contracting.
- Boundary: do not issue sponsorship opinions or guarantee compliance.
- Revenue: documented commission or fixed service fee, subject to local market validation.
"data-broker-expert" ์ฌ์ฉ ์ค์ ๋๋ค. Create buyer-side checks for a healthcare data transaction.
์์ ๊ฒฐ๊ณผ:
- Confirm legal identity, authority, payment capacity, and procurement approval.
- Document the intended purpose, access population, retention period, security controls, and deletion method.
- Escalate healthcare, privacy, cross-border, and secondary-use questions to qualified reviewers.
- Stop the transaction when purpose or authorization evidence remains incomplete.
"data-broker-expert" ์ฌ์ฉ ์ค์ ๋๋ค. Review a commission arrangement that has no written anti-circumvention term.
์์ ๊ฒฐ๊ณผ:
High-priority gap: the broker has limited evidence protecting its fee. Add written scope, introduced parties, commission triggers, survival period, records, settlement timing, and dispute terms.
๋ณด์ ๊ฐ์ฌ
์์ All 12 static findings are false positives caused by installation documentation, Markdown formatting, public links, and multilingual text entropy. The reviewed files contain guidance and reference material without executable commands, hidden-file operations, obfuscated payloads, or prompt injection.
์ํ ์์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-broker-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown ๋ฐฐ์ง
[](https://skillstore.io/skills/dhturing-data-broker-expert?utm_source=security_passport_badge)HTML ๋ฐฐ์ง
<a href="https://skillstore.io/skills/dhturing-data-broker-expert?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dhturing-data-broker-expert/security.svg" alt="Skillstore security assessment" loading="lazy"></a>์๋ฒ ๋ ์นด๋
<iframe src="https://skillstore.io/embed/skills/dhturing-data-broker-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-broker-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-broker-expert/audits/1BibTeX ์ธ์ฉ
@techreport{dhturing-data-broker-expert-2026,
author = {ๅพ็ตๆฐ็},
title = {data-broker-expert security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/dhturing-data-broker-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-broker-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-broker-expert/audits/1"
identifiers:
- type: other
value: "skillstore:dhturing-data-broker-expert:audit:1"
description: "Skillstore immutable audit report identifier"
Skillstore ์ ์
์ด ์ ์์ ์ด์ ์ฆ๊ฑฐ ์ ๋ขฐ๋: ์ค๊ฐ๋ง๋ค ์ ์๋ ๊ฒ
Select a Brokerage Model
Compare matching, agency, and sponsorship roles, then define responsibilities, services, fees, and required qualifications.
Verify a Proposed Transaction
Build separate evidence checklists for the seller, buyer, data product, intended use, and payment readiness.
Protect Brokerage Revenue
Outline commission terms, participation records, anti-circumvention clauses, delivery checkpoints, and settlement controls.
์ด ํ๋กฌํํธ๋ฅผ ์ฌ์ฉํด ๋ณด์ธ์
We serve [industry] clients in [region]. Compare matching, agency, and sponsorship models for us. Recommend one role with responsibilities, qualifications, fees, and risks.
Prepare a bilateral verification checklist for this transaction: [details]. Separate seller evidence, buyer evidence, data quality, ownership, compliance, intended use, and payment checks.
Design a brokerage plan for [transaction]. Include matching logic, responsibilities, milestones, negotiation points, delivery controls, commission terms, anti-circumvention protections, and unresolved risks.
Review our brokerage process and documents: [materials]. Map gaps against the ten-stage workflow, prioritize risks, assign owners, and propose measurable acceptance criteria.
๋ชจ๋ฒ ์ฌ๋ก
- Confirm current laws, exchange rules, qualifications, and fee assumptions before using any recommendation.
- Keep dated evidence for seller claims, buyer eligibility, intended use, negotiations, delivery, acceptance, and commission triggers.
- Separate advisory drafts from official opinions and obtain authorized legal, compliance, and sponsorship approval.
ํผํ๊ธฐ
- Do not treat a supplier statement as proof of ownership, quality, legality, or authorization.
- Do not issue guarantees, legal conclusions, or sponsorship opinions without authority and documented review.
- Do not begin delivery while buyer purpose, contract terms, security controls, or payment conditions remain unclear.
์์ฃผ ๋ฌป๋ ์ง๋ฌธ
Does this skill provide or sell data?
Can it verify that a data product is lawful?
Can it produce a final intermediary agreement?
Can it issue a sponsorship letter?
Are the listed commission ranges authoritative?
What information should I provide?
๊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-broker-expert์ฐธ์กฐ
50b73f83991cf073cbdf3f5afad2bbac71dd3bae
์ ์ง๋ณด์ ์ต์ ์ฑ
2026. 9. 30.
์ฌ์ฉ๋
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