Skills seed-industry-data-asset-expert

📦

seed-industry-data-asset-expert

Name: seed-industry-data-asset-expert
Author: 图灵数盟

Content revision r1 Safe 📁 Filesystem access⚙️ External commands🌐 Network access

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.

Supports: Claude Codex Code(CC)

🥉 77 Bronze

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request

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.

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Markdown detail GET /skills/dhturing-seed-industry-data-asset-expert.md Signed manifest GET /api/skills/dhturing-seed-industry-data-asset-expert/manifest Signed lockfile GET /api/skills/dhturing-seed-industry-data-asset-expert/lockfile

Test it

Using "seed-industry-data-asset-expert". A cooperative provides soil, field location, machinery, and harvest records collected from 300 farms.

Expected outcome:

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.

Using "seed-industry-data-asset-expert". A breeder wants to tokenize germplasm samples and genomic records for international investors.

Expected outcome:

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.

Using "seed-industry-data-asset-expert". A seed company has approved varieties, trial data, signed contributor agreements, and five years of licensing income.

Expected outcome:

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.

Security Audit

Safe

v1 • 9/27/2026 Open versioned report

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.

Files scanned

392

Lines analyzed

Review items

False positives ignored

Risk Factors

📁 Filesystem access (3)

profile.md:38 profile.md:38 references/knowledge-base.md:125

⚙️ External commands (3)

SKILL.md:20 SKILL.md:26 SKILL.md:33

🌐 Network access (2)

SKILL.md:6 SKILL.md:12

No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.

Audited by: codex

Share & cite this report

Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.

Open versioned report

Copy report link

https://skillstore.io/skills/dhturing-seed-industry-data-asset-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdown badge

[![Skillstore security assessment](https://skillstore.io/badges/skills/dhturing-seed-industry-data-asset-expert/security.svg)](https://skillstore.io/skills/dhturing-seed-industry-data-asset-expert?utm_source=security_passport_badge)

HTML badge

<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>

Embed card

<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>

Academic citations (APA · BibTeX · CFF)

APA citation

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/1

BibTeX citation

@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"

Skillstore Score

Why this score Evidence Confidence: Medium

Architecture

Maintainability

Content

Community

Spec Compliance

What You Can Build

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.

Try These Prompts

Classify My Seed Data

Classify these datasets as breeding, genomic, weather, soil, machinery, or traceability data. Explain each asset characteristic and required evidence: [dataset inventory].

Run a Compliance Screening

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.

Design an Ownership Plan

Map data contributions and rights for farmers, cooperatives, platforms, and breeders. Propose required authorizations, benefit allocation, evidence, and unresolved decisions: [stakeholders and contracts].

Build an Assetization and RWA Roadmap

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].

Best Practices

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.

Avoid

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.