技能 data-compliance-security-team

📦

data-compliance-security-team

Name: data-compliance-security-team
Author: 图灵数盟

内容修订 r1 安全 📁 文件系统访问⚙️ 外部命令🌐 网络访问

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.

支持: Claude Codex Code(CC)

🥉 77 青铜

使用我的智能体安装

将此请求复制给你的智能体，其中包含权威 Skill 页面和清单。

智能体请求

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.

你的智能体仍应展示其计划，并按安全策略请求必要确认。

Agent 可读资源

当 AI Agent、爬虫或脚本需要干净上下文，而不是读取完整页面时，请使用这些链接。

Markdown 详情 GET /skills/dhturing-data-compliance-security-team.md 已签名 manifest GET /api/skills/dhturing-data-compliance-security-team/manifest 已签名 lockfile GET /api/skills/dhturing-data-compliance-security-team/lockfile

测试它

正在使用“data-compliance-security-team”。 Assess whether customer transaction data can be used for a new analytics product.

预期结果:

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.

正在使用“data-compliance-security-team”。 Prepare a healthcare data compliance work plan for a research partnership.

预期结果:

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.

正在使用“data-compliance-security-team”。 Turn our data security gaps into a remediation roadmap.

预期结果:

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

安全审计

安全

v1 • 2026/9/27 打开版本化报告

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.

已扫描文件

282

分析行数

复核项

已忽略误报

风险因素

📁 文件系统访问 (2)

profile.md:38 profile.md:38

⚙️ 外部命令 (2)

SKILL.md:20 SKILL.md:31

🌐 网络访问 (2)

SKILL.md:6 SKILL.md:12

最新一次完成的静态与语义审计未检测到已确认的安全发现。这并不能证明该 Skill 没有副作用。

审计者: codex

分享与引用此报告

分享版本化评估报告、中性徽章、嵌入卡片和引用。Skillstore 只报告证据，不判断该 Skill 是否安全。

打开版本化报告

复制报告链接

https://skillstore.io/skills/dhturing-data-compliance-security-team/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdown 徽章

[![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 徽章

<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>

嵌入卡片

<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>

学术引用 (APA · BibTeX · CFF)

APA 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 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 评分

评分依据证据置信度: 中

架构

可维护性

内容

社区

规范符合性

你能构建什么

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.

试试这些提示

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.

最佳实践

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.

避免

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.