Habilidades healthcare-data-compliance-expert

📦

healthcare-data-compliance-expert

Name: healthcare-data-compliance-expert
Author: 图灵数盟

Revisão do conteúdo r1 Seguro 📁 Acesso ao sistema de arquivos⚙️ Comandos externos🌐 Acesso à rede

Assess Healthcare Data Compliance

Healthcare data projects face strict consent, privacy, genetic resource, ownership, and transfer requirements in China. This skill structures risk assessments and practical compliance paths.

Suporta: Claude Codex Code(CC)

🥉 77 Bronze

Instalar com meu Agente

Copie esta solicitação para o seu Agente. Ela inclui a página canônica do Skill e o manifesto.

Solicitação do agente

Review the Skillstore skill "healthcare-data-compliance-expert" from https://skillstore.io/skills/dhturing-healthcare-data-compliance-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-healthcare-data-compliance-expert/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Seu Agente ainda deve apresentar o plano e solicitar qualquer confirmação exigida pela política de segurança.

Recursos legíveis por agentes

Use estes links quando um agente de IA, crawler ou script precisar de contexto limpo em vez de ler a página completa.

Detalhe em Markdown GET /skills/dhturing-healthcare-data-compliance-expert.md manifest assinado GET /api/skills/dhturing-healthcare-data-compliance-expert/manifest lockfile assinado GET /api/skills/dhturing-healthcare-data-compliance-expert/lockfile

Testar

Usando "healthcare-data-compliance-expert". Can deidentified CT images be used to train a diagnostic model?

Resultado esperado:

Decision: More information and remediation are required before use.
Confirm whether deidentification prevents reidentification and removes embedded image metadata.
Verify patient authorization, ethics approval, purpose limits, retention, and model partner access.
Treat the images as sensitive personal information unless true anonymization is demonstrated.

Usando "healthcare-data-compliance-expert". A hospital plans to provide genetic data to an overseas research partner.

Resultado esperado:

Decision: Stop external provision until regulatory screening is complete.
Confirm whether the data qualifies as human genetic resource information.
Document consent, ethics review, collaboration structure, recipient, purpose, and transfer route.
Obtain specialist legal review and confirm current approval, filing, and transfer requirements.

Usando "healthcare-data-compliance-expert". Who should sign a contract for a hospital data analytics project?

Resultado esperado:

The hospital is usually the contracting data controller, but the authorization chain must cover the proposed purpose. Confirm patient rights and physician-related issues.

Auditoria de segurança

Seguro

v1 • 27/09/2026 Abrir o relatório versionado

All 13 static findings are false positives. The cited backticks, paths, and URLs are documentation, while the entropy alerts reflect normal Chinese text rather than obfuscation.

Arquivos analisados

367

Linhas analisadas

Itens de revisão

Falsos positivos ignorados

Fatores de risco

📁 Acesso ao sistema de arquivos (2)

profile.md:38 profile.md:38

⚙️ Comandos externos (3)

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

🌐 Acesso à rede (2)

SKILL.md:6 SKILL.md:12

A auditoria estática e semântica concluída mais recente não detectou achados de segurança confirmados. Isso não comprova que a skill não tenha efeitos colaterais.

Auditado por: codex

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Abrir o relatório versionado

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

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Cartão incorporável

<iframe src="https://skillstore.io/embed/skills/dhturing-healthcare-data-compliance-expert.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>

Citações acadêmicas (APA · BibTeX · CFF)

Citação APA

图灵数盟. (2026). healthcare-data-compliance-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-healthcare-data-compliance-expert/audits/1

Citação BibTeX

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

Pontuação do Skillstore

Por que esta pontuação Confiança das evidências: Médio

Arquitetura

Manutenibilidade

Conteúdo

Comunidade

Conformidade com a especificação

O que você pode criar

Hospital Data Project Review

Assess planned analytics or assetization against consent, ownership, privacy, ethics, and approval requirements.

Medical AI Training Assessment

Compare anonymization and authorization paths for clinical or imaging data used in model training.

Genetic Research Screening

Identify human genetic resource controls for collection, collaboration, external provision, and cross-border transfer.

Teste estes prompts

Classify Healthcare Data

Classify these healthcare datasets by type and sensitivity: [datasets]. Explain which items are sensitive personal information and why.

Check Consent Requirements

Review this proposed use: [purpose]. Identify separate consent needs, required notices, withdrawal controls, and missing facts.

Design a Compliance Path

Compare anonymization, explicit authorization, and research pathways for [project]. Recommend a path with prerequisites, evidence, owners, and stop conditions.

Run a Full Gate Review

Assess [project] across data sensitivity, consent, ethics, human genetic resources, ownership, sharing, and cross-border transfer. Provide gaps, remediation, and a conditional decision.

Boas práticas

Provide the data inventory, processing purpose, recipients, locations, retention period, and current consent evidence.
Separate anonymization from deidentification and document reidentification risk testing.
Confirm current requirements with legal counsel, ethics bodies, and regulators before execution.

Evitar

Do not assume deidentified data is anonymous or outside personal information rules.
Do not reuse broad privacy notices as separate consent for unrelated sensitive data processing.
Do not share genetic or medical data externally before completing approval and transfer screening.