Skills data-trading-expert
📦

data-trading-expert

Content revision r1 Safe 📁 Filesystem access⚙️ External commands🌐 Network access

设计可成交的数据产品交易方案

数据交易常因场所、定价、权利和交付安排不清而停滞。该技能提供从需求识别到售后复用的结构化方案。

Supports: Claude Codex Code(CC)
📊 75 Adequate

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

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

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Test it

Using "data-trading-expert". 我们向国企出售持续更新的产业数据,需要交易凭证并限制转售。

Expected outcome:

  • 建议优先选择场内交易,以取得合规背书和成交凭证。
  • 建议采用年度订阅或按量 API,并限定用途、期限和用户范围。
  • 敏感字段优先通过沙箱或受控 API 交付。
  • 合同应禁止转售、再识别和未经授权的第三方共享。

Using "data-trading-expert". 买方认为数据价值不明确,不愿支付固定高价。

Expected outcome:

  • 先用样本或沙箱完成价值验证和验收指标确认。
  • 采用按量计费、分阶段付款或基础费加效果分成。
  • 保留价格调整条件,并记录每次让步对应的非价格交换。

Using "data-trading-expert". 请检查场内交易前还缺少哪些准备。

Expected outcome:

检查主体准入、权属登记、质量报告、用途审查、合规声明、样本、定价依据、交付方案、法律审查和验收标准。

Security Audit

Safe
v1 • 9/27/2026 Open versioned report

全部 12 项静态命中均为误报。相关内容仅包含安装路径示例、Markdown 代码标记、公开官网链接和中文文档,不执行命令、不访问文件,也没有编码载荷。

4
Files scanned
456
Lines analyzed
0
Review items
0
False positives ignored

Risk Factors

📁 Filesystem access (2)
⚙️ External commands (3)
🌐 Network access (2)
No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.
Audited by: codex
Share & cite this report

Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.

Open versioned report
Security Assessment

Copy report link

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

Markdown badge

[![Skillstore security assessment](https://skillstore.io/badges/skills/dhturing-data-trading-expert/security.svg)](https://skillstore.io/skills/dhturing-data-trading-expert?utm_source=security_passport_badge)

HTML badge

<a href="https://skillstore.io/skills/dhturing-data-trading-expert?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dhturing-data-trading-expert/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

Embed card

<iframe src="https://skillstore.io/embed/skills/dhturing-data-trading-expert.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>
Academic citations (APA · BibTeX · CFF)

APA citation

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

BibTeX citation

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

Skillstore Score

Why this score Evidence Confidence: Medium
55
Architecture
80
Maintainability
75
Content
65
Community
83
Spec Compliance

What You Can Build

规划首笔场内交易

选择交易场所、交易模式和安全交付方式,并形成准备清单。

设计买方采购结构

明确许可范围、计价、验收、保密和禁止转售条款。

准备交易审核材料

梳理权属、质量、合规、样本和标的说明等提交材料。

Try These Prompts

选择交易场所
我们计划销售[数据产品],买方是[类型],预算为[范围]。请比较场内与场外交易,并给出选择建议。
比较交易模式
请根据[更新频率]、[使用方式]、[价值指标]和[敏感等级],比较六种交易模式,并推荐计价方法。
设计完整交易结构
为[数据产品]设计交易结构。请覆盖交付、计价、授权期限、使用范围、安全控制、验收、付款和违约处理。
制定端到端成交计划
基于以下买卖双方资料,制定从尽调到售后的成交计划。列出阶段、责任人、输入、输出、风险、检查项和决策门槛:[资料]。

Best Practices

  • 先核实权属、用途和主体资格,再讨论价格与交付。
  • 让每个价格区间都有成本、市场或价值证据。
  • 根据数据敏感度选择文件、API 或沙箱交付。

Avoid

  • 不要把示例费率、税务分类或规则当作最新正式结论。
  • 不要在未限制用途、转售和共享时交付原始数据。
  • 不要用降价替代价值验证、标的包装和需求确认。

Frequently Asked Questions

这个技能能直接确定数据产品价格吗?
它能设计定价方法和谈判区间,但需要成本、市场和价值证据。
它能提供正式法律意见吗?
不能。合同、权属和合规结论应由合格法律与合规人员复核。
它支持哪些交易方式?
它覆盖数据集、API、订阅、许可、收益分成和联合建模。
它能帮助选择场内还是场外交易吗?
可以。它会比较合规背书、成本、周期、买方信任和融资认可度。
它如何降低数据复制和转售风险?
它建议结合许可限制、保密条款、水印、审计、API 和沙箱控制。
使用前需要准备哪些信息?
准备数据说明、权属状态、质量证据、敏感等级、买方用途、预算和交付约束。

Developer Details

License

MIT

Skillstore revision

r1

Version notice

The author did not declare a version.

Ref

50b73f83991cf073cbdf3f5afad2bbac71dd3bae

Maintenance freshness

9/30/2026

Usage

0 downloads · 0 views

File structure