data-rights-legal-expert
Review Data Rights and Compliance Risks
Data transactions can fail when ownership, source authority, and compliance evidence are unclear. This skill structures a due diligence review and prepares draft findings for qualified legal review.
安裝前請停止並請求確認。
請審查安裝計畫,並在變更檔案前取得使用者明確同意。
使用我的智慧代理安裝
將此請求複製給你的智慧代理,其中包含權威 Skill 頁面和清單。
Review the Skillstore skill "data-rights-legal-expert" from https://skillstore.io/skills/dhturing-data-rights-legal-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-data-rights-legal-expert/manifest. Verify the artifact. Stop and obtain explicit user consent before installing or changing files.你的智慧代理仍應顯示其計畫,並依安全政策請求必要確認。
Agent 可讀資源
當 AI Agent、爬蟲或腳本需要乾淨脈絡、而不是讀取完整頁面時,請使用這些連結。
測試它
正在使用「data-rights-legal-expert」。 We acquired customer analytics data through a reseller and plan to use it for marketing.
預期結果:
- Key risk: confirm the reseller had authority to transfer the data and permit marketing use.
- Evidence needed: upstream contract, consent records, data categories, retention period, and transfer restrictions.
- Draft conclusion: reserve conclusion until the authorization chain and personal information basis are verified.
正在使用「data-rights-legal-expert」。 Review our data supply agreement before a commercial launch.
預期結果:
- High priority: define the dataset, permitted purposes, and whether onward transfer is prohibited.
- Add acceptance criteria, security duties, breach handling, and termination-time return or deletion obligations.
- Escalate personal information, important data, and cross-border transfer questions to qualified counsel.
安全審計
高風險All twelve static findings are false positives: they are Markdown formatting, installation documentation, homepage links, or entropy heuristics on readable text. However, the content makes high-risk claims that an AI can act as a licensed lawyer and issue formal legal opinions, which can cause unsafe reliance.
已確認的安全問題 (1)
風險因素
📁 檔案系統存取 (2)
⚙️ 外部命令 (3)
🌐 網路存取 (2)
分享與引用此報告
分享版本化評估報告、中性徽章、嵌入卡片與引用。Skillstore 只報告證據,不判斷該 Skill 是否安全。
複製報告連結
https://skillstore.io/skills/dhturing-data-rights-legal-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown 徽章
[](https://skillstore.io/skills/dhturing-data-rights-legal-expert?utm_source=security_passport_badge)HTML 徽章
<a href="https://skillstore.io/skills/dhturing-data-rights-legal-expert?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dhturing-data-rights-legal-expert/security.svg" alt="Skillstore security assessment" loading="lazy"></a>嵌入卡片
<iframe src="https://skillstore.io/embed/skills/dhturing-data-rights-legal-expert.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>學術引用 (APA · BibTeX · CFF)
APA 引用
图灵数盟. (2026). data-rights-legal-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-rights-legal-expert/audits/1BibTeX 引用
@techreport{dhturing-data-rights-legal-expert-2026,
author = {图灵数盟},
title = {data-rights-legal-expert security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/dhturing-data-rights-legal-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-rights-legal-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-rights-legal-expert/audits/1"
identifiers:
- type: other
value: "skillstore:dhturing-data-rights-legal-expert:audit:1"
description: "Skillstore immutable audit report identifier"
Skillstore 評分
評分依據 證據置信度: 中你可以打造什麼
Prepare a registration evidence request
Create a document checklist for a data-rights registration project before engaging external counsel.
Assess a proposed data acquisition
Organize source, authorization, personal information, and resale risks for a planned dataset purchase.
Review a data transaction contract
Identify missing rights, usage restrictions, security, acceptance, and termination terms in a contract draft.
試試這些提示
Create a simple evidence checklist for reviewing ownership and lawful source of a business dataset. Mark each item as required or optional.
Review this data-source summary. List the authorization-chain gaps, intended-use limits, and evidence I should request: [paste summary].
Assess this data transaction contract against the twelve clause areas in the skill. Produce a prioritized risk register with missing terms and review questions: [paste contract].
Using these verified materials, draft a non-binding legal review outline. State assumptions, evidence gaps, jurisdiction, and conditional conclusions. Do not present it as a signed legal opinion: [paste materials].
最佳實務
- Provide verified source documents and identify the intended data use, jurisdiction, and recipient.
- Treat every conclusion as a draft until a qualified lawyer reviews the evidence and applicable law.
- Record assumptions, evidence gaps, and material changes in the final review package.
避免
- Do not present AI-generated text as a signed legal opinion or regulatory filing.
- Do not infer ownership or consent from incomplete contracts or informal statements.
- Do not use a general checklist as a substitute for sector-specific or cross-border legal review.
常見問題
Can this skill issue a legal opinion?
Which legal area does it cover?
What materials should I provide?
Can it verify data ownership?
Can it review personal information risks?
Is the output valid outside China?
開發者詳細資訊
作者
图灵数盟授權
MIT
Skillstore 修訂
r1
版本提示
作者未聲明版本。
引用
50b73f83991cf073cbdf3f5afad2bbac71dd3bae
維護新鮮度
2026/9/30
使用量
0 次下載 · 0 次瀏覽
檔案結構