data-circulation-trading-team
Build Market-Ready Data Products
Organizations often lack a structured path from raw data to a compliant, priced offering. This skill coordinates product design, pricing, matching, and trusted delivery.
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Review the Skillstore skill "data-circulation-trading-team" from https://skillstore.io/skills/dhturing-data-circulation-trading-team.md and its manifest at https://skillstore.io/api/skills/dhturing-data-circulation-trading-team/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.
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Pruébalo
Usando "data-circulation-trading-team". We have logistics telemetry and want to sell congestion insights.
Resultado esperado:
A product brief defining buyer segments, aggregated outputs, validation interviews, privacy controls, and criteria for entering pricing.
Usando "data-circulation-trading-team". Price a monthly retail footfall benchmark for regional chains.
Resultado esperado:
- Cost floor based on preparation, quality assurance, delivery, and support.
- Value range linked to planning savings and avoided research expense.
- Market comparison with anchor, target, and minimum negotiation positions.
Usando "data-circulation-trading-team". Partners need analysis of sensitive records without receiving raw data.
Resultado esperado:
A trusted data-space outline covering participant roles, authorization, permitted use, technical options, audit evidence, and operating responsibilities.
Auditoría de seguridad
SeguroAll 11 static findings are false positives caused by Markdown formatting, documented installation paths, ordinary website links, or Chinese-language text entropy. The reviewed files contain no executable commands, hidden-file operations, encoded payloads, prompt injection, or data-exfiltration behavior.
Factores de riesgo
📁 Acceso al sistema de archivos (2)
⚙️ Comandos externos (2)
🌐 Acceso a red (2)
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https://skillstore.io/skills/dhturing-data-circulation-trading-team/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportInsignia Markdown
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<a href="https://skillstore.io/skills/dhturing-data-circulation-trading-team?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dhturing-data-circulation-trading-team/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Tarjeta para insertar
<iframe src="https://skillstore.io/embed/skills/dhturing-data-circulation-trading-team.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-circulation-trading-team security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-circulation-trading-team/audits/1Cita BibTeX
@techreport{dhturing-data-circulation-trading-team-2026,
author = {图灵数盟},
title = {data-circulation-trading-team security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/dhturing-data-circulation-trading-team/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-circulation-trading-team 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-circulation-trading-team/audits/1"
identifiers:
- type: other
value: "skillstore:dhturing-data-circulation-trading-team:audit:1"
description: "Skillstore immutable audit report identifier"
Puntuación de Skillstore
Por qué esta puntuación Confianza de la evidencia: MedioLo que puedes crear
Design a Sellable Data Product
Turn an internal dataset into a validated product concept, buyer profile, and delivery plan.
Prepare a Defensible Price
Build a pricing range using costs, buyer value, market comparisons, and negotiation limits.
Plan Sensitive Data Collaboration
Assess trusted data-space models, participation rules, and technical controls for restricted data use.
Prueba estos prompts
Assess whether our dataset can become a data product. Identify buyer scenarios, required evidence, key risks, and the next validation step.
Create a staged data product plan for [dataset]. Include target buyers, value hypothesis, MVP, seed-customer validation, deliverables, and decision gates.
Develop pricing for [product]. Compare cost, value, and market methods, then propose anchor, target, and minimum positions with stated assumptions.
Design an end-to-end transaction for [product and jurisdiction]. Cover compliance gates, marketplace route, matching, contract terms, delivery controls, and evidence records.
Mejores prácticas
- Validate buyer demand before detailed pricing or marketplace preparation.
- State evidence, assumptions, jurisdiction, and pricing basis in every recommendation.
- Use compliance and security gates before sharing sensitive or regulated data.
Evitar
- Do not promise a listing, buyer, transaction, or specific sale price.
- Do not price an unvalidated product using only internal cost estimates.
- Do not treat technical access controls as substitutes for governance and contracts.
Preguntas frecuentes
What information should I provide first?
Can this skill determine a final sale price?
Does this skill provide legal approval?
Can it help find buyers?
When should we consider a trusted data space?
Which AI tools support this skill?
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