Structure Compliant Data Brokerage Deals
Data brokerage teams need structured methods to match parties, verify eligibility, and protect fees. This skill provides workflows, checklists, and document outlines for each stage.
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "data-broker-expert" from https://skillstore.io/skills/dhturing-data-broker-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-data-broker-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.
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Using "data-broker-expert". Compare brokerage roles for a small firm that has buyer relationships but no sponsorship qualification.
Expected outcome:
Using "data-broker-expert". Create buyer-side checks for a healthcare data transaction.
Expected outcome:
Using "data-broker-expert". Review a commission arrangement that has no written anti-circumvention term.
Expected outcome:
High-priority gap: the broker has limited evidence protecting its fee. Add written scope, introduced parties, commission triggers, survival period, records, settlement timing, and dispute terms.
All 12 static findings are false positives caused by installation documentation, Markdown formatting, public links, and multilingual text entropy. The reviewed files contain guidance and reference material without executable commands, hidden-file operations, obfuscated payloads, or prompt injection.
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
https://skillstore.io/skills/dhturing-data-broker-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/dhturing-data-broker-expert?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/dhturing-data-broker-expert?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dhturing-data-broker-expert/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/dhturing-data-broker-expert.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>图灵数盟. (2026). data-broker-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-broker-expert/audits/1@techreport{dhturing-data-broker-expert-2026,
author = {图灵数盟},
title = {data-broker-expert security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/dhturing-data-broker-expert/audits/1},
note = {Author version unspecified}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "data-broker-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-broker-expert/audits/1"
identifiers:
- type: other
value: "skillstore:dhturing-data-broker-expert:audit:1"
description: "Skillstore immutable audit report identifier"
Compare matching, agency, and sponsorship roles, then define responsibilities, services, fees, and required qualifications.
Build separate evidence checklists for the seller, buyer, data product, intended use, and payment readiness.
Outline commission terms, participation records, anti-circumvention clauses, delivery checkpoints, and settlement controls.
We serve [industry] clients in [region]. Compare matching, agency, and sponsorship models for us. Recommend one role with responsibilities, qualifications, fees, and risks.
Prepare a bilateral verification checklist for this transaction: [details]. Separate seller evidence, buyer evidence, data quality, ownership, compliance, intended use, and payment checks.
Design a brokerage plan for [transaction]. Include matching logic, responsibilities, milestones, negotiation points, delivery controls, commission terms, anti-circumvention protections, and unresolved risks.
Review our brokerage process and documents: [materials]. Map gaps against the ten-stage workflow, prioritize risks, assign owners, and propose measurable acceptance criteria.
Author
图灵数盟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
Design a Trusted Data Space
Trusted data space projects often fail through weak demand, governance, or participation. This skill provides structured assessment, architecture, rules, rollout, and operating guidance.
Create a Data Monetization Plan
Data teams often struggle to connect data assets to validated revenue opportunities. This skill provides a structured, auditable path from value discovery to monetization operations.
Discover and Prioritize Data Use Scenarios
Organizations often overlook valuable uses for data they already hold. This skill scans industries, ranks opportunities, and defines evidence needed for validation.
Manage the Full Data Asset Lifecycle
Data asset programs often lack connected policies, ownership, workflows, and measurable controls. This skill designs a practical lifecycle system from planning through disposal and oversight.
Assess Energy Data Asset Opportunities
Energy data projects often lack clear compliance gates and measurable value. This skill structures classification, cash-flow evidence, accounting coordination, and commercialization options.
Plan Industry-Specific Data Asset Strategies
Generic data asset plans can miss sector rules, data ownership, buyer needs, and approval steps. This skill organizes industry selection, data assessment, compliance screening, commercialization scenarios, and repeatable delivery plans.
Analyze Scientific Data Files
by davila7
Scientific datasets often arrive in specialized formats that are hard to inspect quickly. This skill detects the format, summarizes contents, checks quality, and produces a clear EDA report.
Analyze Single-Cell RNA-Seq with Scanpy
by davila7
Single-cell RNA-seq workflows require careful QC, normalization, clustering, and documentation. This skill gives Scanpy workflows, scripts, templates, and references for reproducible analysis.
Process JSON, YAML, and TOML Data
by 0xDarkMatter
Structured configuration data can be hard to inspect across JSON, YAML, and TOML files. This skill guides jq and yq queries for extraction, filtering, conversion, and updates.
Create Publication-Ready Scientific Figures
by davila7
Scientific figures often fail journal checks for size, color, typography, or export format. This skill guides Claude, Codex, and Claude Code through publication-ready plotting workflows.
Build Therapeutic ML Workflows with PyTDC
by davila7
Therapeutic machine learning requires reliable datasets, meaningful splits, and consistent evaluation. This skill guides PyTDC workflows from dataset selection through molecular optimization.
Draft Nature Data Availability Statements
by Yuan1z0825
Researchers often need precise data availability text, repository plans, and FAIR checks before submission. This skill turns English or Chinese data notes into Nature-style statements, dataset citation actions, and missing-information flags.