seed-industry-data-asset-expert
Assess Seed Industry Data Assets
Seed data projects face complex germplasm, ownership, important-data, and approval requirements. This skill structures assessments and assetization plans before valuation or RWA work begins.
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Review the Skillstore skill "seed-industry-data-asset-expert" from https://skillstore.io/skills/dhturing-seed-industry-data-asset-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-seed-industry-data-asset-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
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Pruébalo
Usando "seed-industry-data-asset-expert". A cooperative provides soil, field location, machinery, and harvest records collected from 300 farms.
Resultado esperado:
- Status: remediation required before assetization.
- Main gaps: farmer authorization, platform processing rights, location-data classification, and documented lineage.
- Next deliverables: data inventory, authorization matrix, important-data assessment, and aggregation plan.
Usando "seed-industry-data-asset-expert". A breeder wants to tokenize germplasm samples and genomic records for international investors.
Resultado esperado:
- Status: stop the proposed structure pending formal review.
- Germplasm and genomic data may face strict provision, exchange, biosafety, and cross-border controls.
- Assess approved variety rights and eligible domestic data income rights as separate alternatives.
Usando "seed-industry-data-asset-expert". A seed company has approved varieties, trial data, signed contributor agreements, and five years of licensing income.
Resultado esperado:
- Status: potentially suitable for detailed valuation and RWA assessment.
- Verify agreement scope, data rights, dataset quality, income attribution, and important-data boundaries.
- Use documented income assumptions and sensitivity analysis before selecting a financing structure.
Auditoría de seguridad
SeguroAll 13 static findings are false positives caused by Markdown syntax, documented installation paths, public website links, and high-entropy heuristics on Chinese text. The reviewed files contain no executable commands, hidden-file operations, encoded payloads, or prompt-injection attempts.
Factores de riesgo
📁 Acceso al sistema de archivos (3)
⚙️ Comandos externos (3)
🌐 Acceso a red (2)
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<a href="https://skillstore.io/skills/dhturing-seed-industry-data-asset-expert?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dhturing-seed-industry-data-asset-expert/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Tarjeta para insertar
<iframe src="https://skillstore.io/embed/skills/dhturing-seed-industry-data-asset-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). seed-industry-data-asset-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-seed-industry-data-asset-expert/audits/1Cita BibTeX
@techreport{dhturing-seed-industry-data-asset-expert-2026,
author = {图灵数盟},
title = {seed-industry-data-asset-expert security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/dhturing-seed-industry-data-asset-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: "seed-industry-data-asset-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-seed-industry-data-asset-expert/audits/1"
identifiers:
- type: other
value: "skillstore:dhturing-seed-industry-data-asset-expert:audit:1"
description: "Skillstore immutable audit report identifier"
Puntuación de Skillstore
Por qué esta puntuación Confianza de la evidencia: MedioLo que puedes crear
Screen Cooperative Data
Classify farm and breeding datasets, identify missing authorizations, and determine whether assetization can proceed.
Plan Breeding Data Registration
Separate variety rights from data rights and prepare a registration and valuation work plan.
Evaluate Agricultural RWA Readiness
Review compliance gates, ownership evidence, important-data exposure, and proposed income-right structures.
Prueba estos prompts
Classify these datasets as breeding, genomic, weather, soil, machinery, or traceability data. Explain each asset characteristic and required evidence: [dataset inventory].
Assess this project for germplasm, variety approval, genetically modified organism, important-data, personal-information, and cross-border concerns: [project details]. Return proceed, remediate, or stop.
Map data contributions and rights for farmers, cooperatives, platforms, and breeders. Propose required authorizations, benefit allocation, evidence, and unresolved decisions: [stakeholders and contracts].
Create a phased roadmap from compliance review through data processing, registration, valuation, and RWA assessment. Include deliverables, dependencies, stop conditions, quality checks, and responsible parties: [project dossier].
Mejores prácticas
- Provide a complete data inventory, stakeholder map, contracts, approvals, processing history, and intended use.
- Verify current laws, regulator guidance, and local registration rules before relying on any recommendation.
- Treat compliance gates and written authorization as prerequisites for valuation, registration, financing, or RWA planning.
Evitar
- Do not treat germplasm, variety rights, and data rights as the same legal asset.
- Do not estimate value or promote financing without evidence, assumptions, and sensitivity analysis.
- Do not share precise agricultural locations, genomic data, or personal information before classification and authorization.
Preguntas frecuentes
What data types can this skill assess?
Can it approve a germplasm or variety project?
Does it provide a formal valuation?
How does it handle multi-party ownership?
Can all seed industry data support RWA financing?
What information should I provide first?
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