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.
๋ด ์์ด์ ํธ๋ก ์ค์น
์ด ์์ฒญ์ ์์ด์ ํธ์ ๋ณต์ฌํ์ธ์. ๊ณต์ Skill ํ์ด์ง์ ๋งค๋ํ์คํธ๊ฐ ํฌํจ๋์ด ์์ต๋๋ค.
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.์์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
"seed-industry-data-asset-expert" ์ฌ์ฉ ์ค์ ๋๋ค. A cooperative provides soil, field location, machinery, and harvest records collected from 300 farms.
์์ ๊ฒฐ๊ณผ:
- 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.
"seed-industry-data-asset-expert" ์ฌ์ฉ ์ค์ ๋๋ค. A breeder wants to tokenize germplasm samples and genomic records for international investors.
์์ ๊ฒฐ๊ณผ:
- 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.
"seed-industry-data-asset-expert" ์ฌ์ฉ ์ค์ ๋๋ค. A seed company has approved varieties, trial data, signed contributor agreements, and five years of licensing income.
์์ ๊ฒฐ๊ณผ:
- 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.
๋ณด์ ๊ฐ์ฌ
์์ All 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.
์ํ ์์ธ
๐ ํ์ผ ์์คํ ์ ๊ทผ (3)
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-seed-industry-data-asset-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown ๋ฐฐ์ง
[](https://skillstore.io/skills/dhturing-seed-industry-data-asset-expert?utm_source=security_passport_badge)HTML ๋ฐฐ์ง
<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>์๋ฒ ๋ ์นด๋
<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>ํ์ ์ธ์ฉ (APA ยท BibTeX ยท CFF)
APA ์ธ์ฉ
ๅพ็ตๆฐ็. (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/1BibTeX ์ธ์ฉ
@techreport{dhturing-seed-industry-data-asset-expert-2026,
author = {ๅพ็ตๆฐ็},
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: "ๅพ็ตๆฐ็"
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"
Skillstore ์ ์
์ด ์ ์์ ์ด์ ์ฆ๊ฑฐ ์ ๋ขฐ๋: ์ค๊ฐ๋ง๋ค ์ ์๋ ๊ฒ
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.
์ด ํ๋กฌํํธ๋ฅผ ์ฌ์ฉํด ๋ณด์ธ์
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].
๋ชจ๋ฒ ์ฌ๋ก
- 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.
ํผํ๊ธฐ
- 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.
์์ฃผ ๋ฌป๋ ์ง๋ฌธ
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?
๊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/seed-industry-data-asset-expert์ฐธ์กฐ
50b73f83991cf073cbdf3f5afad2bbac71dd3bae
์ ์ง๋ณด์ ์ต์ ์ฑ
2026. 9. 30.
์ฌ์ฉ๋
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