スキル seed-industry-data-asset-expert

📦

seed-industry-data-asset-expert

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

コンテンツリビジョン r1 安全 📁 ファイルシステムへのアクセス⚙️ 外部コマンド🌐 ネットワークアクセス

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.

対応: Claude Codex Code(CC)

🥉 77 ブロンズ

Maintain this Skill? Claim it 🥉 77 ブロンズ

自分のエージェントでインストール

このリクエストをエージェントにコピーしてください。正規の Skill ページとマニフェストが含まれています。

エージェントリクエスト

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.

エージェントは引き続き計画を提示し、セキュリティポリシーで必要な確認を求める必要があります。

エージェントが読めるリソース

AI エージェント、クローラー、スクリプトがページ全体ではなく整理されたコンテキストを必要とする場合は、これらのリンクを使ってください。

Markdown詳細 GET /skills/dhturing-seed-industry-data-asset-expert.md 署名済み manifest GET /api/skills/dhturing-seed-industry-data-asset-expert/manifest 署名済み lockfile GET /api/skills/dhturing-seed-industry-data-asset-expert/lockfile

テストする

「seed-industry-data-asset-expert」を使用しています。 A cooperative provides soil, field location, machinery, and harvest records collected from 300 farms.

期待される結果:

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」を使用しています。 A breeder wants to tokenize germplasm samples and genomic records for international investors.

期待される結果:

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」を使用しています。 A seed company has approved varieties, trial data, signed contributor agreements, and five years of licensing income.

期待される結果:

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.

セキュリティ監査

安全

v1 • 2026/9/27 バージョン別レポートを開く

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.

スキャンされたファイル

392

解析済み行数

レビュー項目

誤検知を無視

リスク要因

📁 ファイルシステムへのアクセス (3)

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

⚙️ 外部コマンド (3)

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

🌐 ネットワークアクセス (2)

SKILL.md:6 SKILL.md:12

最新の完了済み静的・セマンティック監査では、確認済みのセキュリティ検出事項は見つかりませんでした。これは、スキルに副作用がないことを証明するものではありません。

監査者: codex

このレポートを共有・引用

バージョン付き評価レポート、中立的なバッジ、埋め込みカード、引用を共有できます。Skillstore は証拠を報告しますが、この Skill が安全かどうかは判断しません。

バージョン別レポートを開く

レポートリンクをコピー

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

Markdownバッジ

[![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バッジ

<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>

埋め込みカード

<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>

学術引用 (APA · BibTeX · CFF)

APA形式の引用

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形式の引用

@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 スコア

このスコアの理由証拠の信頼度: 中

アーキテクチャ

保守性

コンテンツ

コミュニティ

仕様準拠

作成できるもの

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.

これらのプロンプトを試す

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].

ベストプラクティス

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.

回避

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.