スキル data-policy-expert

📦

data-policy-expert

Name: data-policy-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

Analyze Chinese Data Policy and Opportunities

Changing Chinese data policies create compliance uncertainty and missed opportunities. This skill structures policy analysis, opportunity assessment, application planning, and policy tracking.

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 "data-policy-expert" from https://skillstore.io/skills/dhturing-data-policy-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-data-policy-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-data-policy-expert.md 署名済み manifest GET /api/skills/dhturing-data-policy-expert/manifest 署名済み lockfile GET /api/skills/dhturing-data-policy-expert/lockfile

テストする

「data-policy-expert」を使用しています。 Analyze a public data authorization policy for a regional data service provider.

期待される結果:

Direct impact: authorization procedures and operating controls require review.
Opportunity: prepare a regional authorization proposal supported by relevant delivery evidence.
Risk: local rules and current official notices must be verified before action.
Next step: assign owners for eligibility, compliance, solution design, and evidence collection.

「data-policy-expert」を使用しています。 Evaluate readiness for a data asset management pilot application.

期待される結果:

The readiness review covers applicant eligibility, project scope, prior evidence, team credentials, and material quality. It identifies missing evidence and assigns preparation actions.

「data-policy-expert」を使用しています。 Create a policy tracking register for data asset accounting.

期待される結果:

The register lists each policy title, document number, issuing authority, date, jurisdiction, status, key requirements, business impact, owner, and next review date.

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 12 static findings are false positives. The flagged paths, backticks, and URLs are documentation examples or metadata, while the entropy alerts reflect readable Chinese Markdown rather than obfuscated content. No prompt injection, executable behavior, credential access, or data exfiltration intent was found.

スキャンされたファイル

453

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 (2)

profile.md:38 profile.md:38

⚙️ 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-data-policy-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-data-policy-expert/security.svg)](https://skillstore.io/skills/dhturing-data-policy-expert?utm_source=security_passport_badge)

HTMLバッジ

<a href="https://skillstore.io/skills/dhturing-data-policy-expert?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dhturing-data-policy-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-data-policy-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). data-policy-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-policy-expert/audits/1

BibTeX形式の引用

@techreport{dhturing-data-policy-expert-2026,
  author = {图灵数盟},
  title = {data-policy-expert security audit report (audit version 1)},
  institution = {Skillstore},
  year = {2026},
  number = {1},
  url = {https://skillstore.io/skills/dhturing-data-policy-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: "data-policy-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-data-policy-expert/audits/1"
identifiers:
  - type: other
    value: "skillstore:dhturing-data-policy-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

Assess business impact

Translate a new data policy into operational changes, opportunities, risks, and accountable actions.

Prepare an application

Evaluate readiness for a pilot, funding program, or qualification and produce an evidence checklist.

Maintain a policy register

Organize relevant national and local policies into a consistent register for periodic review.

これらのプロンプトを試す

Summarize one policy

Summarize [policy name] for [organization type]. Separate the policy text, policy intent, affected parties, and immediate actions.

Run a five-layer analysis

Analyze [policy text] using the five layers. Identify direct impacts, indirect impacts, opportunities, compliance requirements, evidence, and unresolved questions.

Assess application readiness

Assess our readiness for [program]. Review eligibility, project design, past performance, team capability, and material quality. Produce gaps and a document checklist.

Build a policy action portfolio

Compare [policy set] across national and [region] requirements. Rank impacts and opportunities, assign owners, define evidence, and create a review schedule.

ベストプラクティス

Provide the complete policy text, issuing authority, publication date, jurisdiction, and business context.
Verify every policy number, effective date, amendment, and local implementation rule against an official source.
Separate sourced facts from interpretation, assumptions, recommendations, and unresolved questions.

回避

Do not treat the bundled knowledge base as a live or complete policy database.
Do not present funding amounts, eligibility, approval outcomes, or timelines as guaranteed.
Do not submit invented credentials, performance records, partnerships, or supporting evidence.

よくある質問

Which policies can this skill analyze?

It focuses on Chinese data policy, data assets, public data, data circulation, trusted data spaces, and related application programs.

Does the skill retrieve current policies automatically?

No. Supply current official documents or verified links before requesting time-sensitive analysis.

Can it compare national and local requirements?

Yes, when you provide the relevant national and local documents and identify the applicable jurisdiction.

Can it guarantee a successful application?

No. It can assess gaps and organize materials, but agencies determine eligibility and outcomes.

Is the output legal or investment advice?

No. Qualified professionals should review important legal, regulatory, accounting, and investment decisions.

What information improves the result?

Provide your organization type, location, business model, target program, existing qualifications, project evidence, deadlines, and official policy text.