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.
Instalar con mi Agente
Copia esta solicitud en tu Agente. Incluye la página canónica del Skill y el manifiesto.
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.Tu Agente debe seguir mostrando su plan y solicitar cualquier confirmación exigida por la política de seguridad.
Recursos legibles por agentes
Usa estos enlaces cuando un agente de IA, crawler o script necesite contexto limpio en vez de leer la página completa.
Pruébalo
Usando "data-broker-expert". Compare brokerage roles for a small firm that has buyer relationships but no sponsorship qualification.
Resultado esperado:
- 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.
Usando "data-broker-expert". Create buyer-side checks for a healthcare data transaction.
Resultado esperado:
- 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.
Usando "data-broker-expert". Review a commission arrangement that has no written anti-circumvention term.
Resultado esperado:
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.
Auditoría de seguridad
SeguroAll 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.
Factores de riesgo
📁 Acceso al sistema de archivos (2)
⚙️ Comandos externos (3)
🌐 Acceso a red (2)
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Copiar enlace del informe
https://skillstore.io/skills/dhturing-data-broker-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportInsignia Markdown
[](https://skillstore.io/skills/dhturing-data-broker-expert?utm_source=security_passport_badge)Insignia HTML
<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>Tarjeta para insertar
<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>Citas académicas (APA · BibTeX · CFF)
Cita APA
图灵数盟. (2026). data-broker-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-broker-expert/audits/1Cita BibTeX
@techreport{dhturing-data-broker-expert-2026,
author = {图灵数盟},
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: "图灵数盟"
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"
Puntuación de Skillstore
Por qué esta puntuación Confianza de la evidencia: MedioLo que puedes crear
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.
Prueba estos prompts
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.
Mejores prácticas
- 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.
Evitar
- 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.
Preguntas frecuentes
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?
Detalles del desarrollador
Autor
图灵数盟Licencia
MIT
Revisión de Skillstore
r1
Aviso de versión
El autor no declaró una versión.
Ref.
50b73f83991cf073cbdf3f5afad2bbac71dd3bae
Actualidad del mantenimiento
30/9/2026
Uso
0 descargas · 0 vistas
Estructura de archivos