Skills data-circulation-trading-team

📦

data-circulation-trading-team

Name: data-circulation-trading-team
Author: 图灵数盟

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

Build Market-Ready Data Products

Organizations often lack a structured path from raw data to a compliant, priced offering. This skill coordinates product design, pricing, matching, and trusted delivery.

Supports: Claude Codex Code(CC)

🥉 77 Bronze

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-circulation-trading-team" from https://skillstore.io/skills/dhturing-data-circulation-trading-team.md and its manifest at https://skillstore.io/api/skills/dhturing-data-circulation-trading-team/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.

Markdown detail GET /skills/dhturing-data-circulation-trading-team.md Signed manifest GET /api/skills/dhturing-data-circulation-trading-team/manifest Signed lockfile GET /api/skills/dhturing-data-circulation-trading-team/lockfile

Test it

Using "data-circulation-trading-team". We have logistics telemetry and want to sell congestion insights.

Expected outcome:

A product brief defining buyer segments, aggregated outputs, validation interviews, privacy controls, and criteria for entering pricing.

Using "data-circulation-trading-team". Price a monthly retail footfall benchmark for regional chains.

Expected outcome:

Cost floor based on preparation, quality assurance, delivery, and support.
Value range linked to planning savings and avoided research expense.
Market comparison with anchor, target, and minimum negotiation positions.

Using "data-circulation-trading-team". Partners need analysis of sensitive records without receiving raw data.

Expected outcome:

A trusted data-space outline covering participant roles, authorization, permitted use, technical options, audit evidence, and operating responsibilities.

Security Audit

Safe

v1 • 9/27/2026 Open versioned report

All 11 static findings are false positives caused by Markdown formatting, documented installation paths, ordinary website links, or Chinese-language text entropy. The reviewed files contain no executable commands, hidden-file operations, encoded payloads, prompt injection, or data-exfiltration behavior.

Files scanned

261

Lines analyzed

Review items

False positives ignored

Risk Factors

📁 Filesystem access (2)

profile.md:38 profile.md:38

⚙️ External commands (2)

SKILL.md:20 SKILL.md:35

🌐 Network access (2)

SKILL.md:6 SKILL.md:12

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

Copy report link

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

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Academic citations (APA · BibTeX · CFF)

APA citation

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

BibTeX citation

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

Skillstore Score

Why this score Evidence Confidence: Medium

Architecture

Maintainability

Content

Community

Spec Compliance

What You Can Build

Design a Sellable Data Product

Turn an internal dataset into a validated product concept, buyer profile, and delivery plan.

Prepare a Defensible Price

Build a pricing range using costs, buyer value, market comparisons, and negotiation limits.

Plan Sensitive Data Collaboration

Assess trusted data-space models, participation rules, and technical controls for restricted data use.

Try These Prompts

Assess Product Potential

Assess whether our dataset can become a data product. Identify buyer scenarios, required evidence, key risks, and the next validation step.

Create a Product Plan

Create a staged data product plan for [dataset]. Include target buyers, value hypothesis, MVP, seed-customer validation, deliverables, and decision gates.

Develop Pricing and Negotiation

Develop pricing for [product]. Compare cost, value, and market methods, then propose anchor, target, and minimum positions with stated assumptions.

Design an End-to-End Transaction

Design an end-to-end transaction for [product and jurisdiction]. Cover compliance gates, marketplace route, matching, contract terms, delivery controls, and evidence records.

Best Practices

Validate buyer demand before detailed pricing or marketplace preparation.
State evidence, assumptions, jurisdiction, and pricing basis in every recommendation.
Use compliance and security gates before sharing sensitive or regulated data.

Avoid

Do not promise a listing, buyer, transaction, or specific sale price.
Do not price an unvalidated product using only internal cost estimates.
Do not treat technical access controls as substitutes for governance and contracts.