技能 data-policy-expert

📦

data-policy-expert

Name: data-policy-expert
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

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.

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-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.

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-policy-expert.md 已签名 manifest GET /api/skills/dhturing-data-policy-expert/manifest 已签名 lockfile GET /api/skills/dhturing-data-policy-expert/lockfile

测试它

正在使用“data-policy-expert”。 Analyze a public data authorization policy for a regional data service provider.

预期结果:

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.

正在使用“data-policy-expert”。 Evaluate readiness for a data asset management pilot application.

预期结果:

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

正在使用“data-policy-expert”。 Create a policy tracking register for data asset accounting.

预期结果:

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

安全审计

安全

v1 • 2026/9/27 打开版本化报告

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.

已扫描文件

453

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 (3)

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

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

HTML 徽章

<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>

嵌入卡片

<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>

学术引用 (APA · BibTeX · CFF)

APA 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 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 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

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.

试试这些提示

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.

最佳实践

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.

避免

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.

常见问题

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.