スキル data-compliance-security-team

📦

data-compliance-security-team

Name: data-compliance-security-team
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 Data Compliance and Security

Complex data initiatives require coordinated legal, security, privacy, policy, standards, and sector review. This skill organizes those perspectives into evidence-based assessments and remediation plans.

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

テストする

「data-compliance-security-team」を使用しています。 Assess whether customer transaction data can be used for a new analytics product.

期待される結果:

Decision status: Conditional pending evidence review.
Priority checks: purpose compatibility, personal information basis, sensitive fields, retention, access controls, and important-data screening.
Next steps: complete the data inventory, document the legal basis, perform an impact assessment, and validate technical controls.

「data-compliance-security-team」を使用しています。 Prepare a healthcare data compliance work plan for a research partnership.

期待される結果:

Phase 1: classify medical, personal, sensitive, and genetic-resource data.
Phase 2: verify authorization, separate consent, ethics, export, and sector approval requirements.
Phase 3: define anonymization, access, audit, retention, incident response, and evidence owners.

「data-compliance-security-team」を使用しています。 Turn our data security gaps into a remediation roadmap.

期待される結果:

The roadmap groups red and orange risks by legal urgency, control dependency, accountable owner, required evidence, target date, and verification method.

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 nine static findings are false positives caused by documentation paths, Markdown formatting, public website links, or normal Chinese text. No executable behavior, covert network activity, obfuscated payload, or prompt injection was found.

スキャンされたファイル

282

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 (2)

SKILL.md:20 SKILL.md:31

🌐 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-compliance-security-team/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-compliance-security-team/security.svg)](https://skillstore.io/skills/dhturing-data-compliance-security-team?utm_source=security_passport_badge)

HTMLバッジ

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

BibTeX形式の引用

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

Prepare a compliance readiness review

Build a phased review covering data classification, privacy, security controls, industry rules, evidence gaps, and remediation priorities.

Assess sensitive healthcare data

Screen personal information, consent, anonymization, human genetic resources, data export, and healthcare-specific obligations before a proposed use.

Plan security and standards work

Map classification, protection-level, security maturity, privacy assessment, and applicable standards into an accountable implementation plan.

これらのプロンプトを試す

Start a basic compliance review

Review this data use case for major compliance and security concerns. List missing facts, applicable review areas, risks, and immediate next steps.

Create a data classification plan

Design a classification and grading workshop for our datasets. Include participants, required evidence, important-data screening, decisions, and expected deliverables.

Assess personal information processing

Assess this personal information workflow. Cover legal basis, notices, consent, sensitive information, impact assessment, retention, rights, security, and remediation.

Coordinate an advanced compliance program

Create a cross-functional compliance program for this data initiative. Assign expert roles, stage gates, evidence requirements, risk ratings, deliverables, dependencies, and verification steps.

ベストプラクティス

Provide data categories, sources, purposes, recipients, locations, retention periods, systems, and jurisdictions.
Verify every cited requirement against current official sources and applicable sector rules.
Require evidence for each conclusion and assign accountable owners to every remediation action.

回避

Do not treat a general checklist as a final legal opinion or regulatory approval.
Do not assume de-identification makes data anonymous without testing re-identification risk.
Do not begin commercialization before resolving ownership, personal information, important-data, and sector-specific gate issues.