data-broker-expert
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.
Installer avec mon Agent
Copiez cette demande dans votre Agent. Elle contient la page Skill de référence et le manifeste.
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.Votre Agent doit toujours présenter son plan et demander toute confirmation exigée par la politique de sécurité.
Ressources lisibles par les agents
Utilisez ces liens lorsqu’un Agent IA, un crawler ou un script a besoin d’un contexte propre au lieu de lire toute la page.
Tester
Utilisation de « data-broker-expert ». Compare brokerage roles for a small firm that has buyer relationships but no sponsorship qualification.
Résultat attendu:
- Recommended role: matching broker.
- Scope: identify needs, match suppliers, coordinate validation, and support contracting.
- Boundary: do not issue sponsorship opinions or guarantee compliance.
- Revenue: documented commission or fixed service fee, subject to local market validation.
Utilisation de « data-broker-expert ». Create buyer-side checks for a healthcare data transaction.
Résultat attendu:
- Confirm legal identity, authority, payment capacity, and procurement approval.
- Document the intended purpose, access population, retention period, security controls, and deletion method.
- Escalate healthcare, privacy, cross-border, and secondary-use questions to qualified reviewers.
- Stop the transaction when purpose or authorization evidence remains incomplete.
Utilisation de « data-broker-expert ». Review a commission arrangement that has no written anti-circumvention term.
Résultat attendu:
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.
Audit de sécurité
SûrAll 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.
Facteurs de risque
📁 Accès au système de fichiers (2)
⚙️ Commandes externes (3)
🌐 Accès réseau (2)
Partager et citer ce rapport
Partagez le rapport d’évaluation versionné, le badge neutre, la carte intégrable et les citations. Skillstore présente les preuves sans décider si ce Skill est sûr.
Copier le lien du rapport
https://skillstore.io/skills/dhturing-data-broker-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportBadge Markdown
[](https://skillstore.io/skills/dhturing-data-broker-expert?utm_source=security_passport_badge)Badge HTML
<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>Carte intégrable
<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>Citations académiques (APA · BibTeX · CFF)
Citation APA
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/1Citation BibTeX
@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}
}CITATION.cff
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"
Score Skillstore
Pourquoi ce score Niveau de confiance des preuves: MoyenCe que vous pouvez créer
Select a Brokerage Model
Compare matching, agency, and sponsorship roles, then define responsibilities, services, fees, and required qualifications.
Verify a Proposed Transaction
Build separate evidence checklists for the seller, buyer, data product, intended use, and payment readiness.
Protect Brokerage Revenue
Outline commission terms, participation records, anti-circumvention clauses, delivery checkpoints, and settlement controls.
Essayez ces prompts
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.
Bonnes pratiques
- Confirm current laws, exchange rules, qualifications, and fee assumptions before using any recommendation.
- Keep dated evidence for seller claims, buyer eligibility, intended use, negotiations, delivery, acceptance, and commission triggers.
- Separate advisory drafts from official opinions and obtain authorized legal, compliance, and sponsorship approval.
Éviter
- Do not treat a supplier statement as proof of ownership, quality, legality, or authorization.
- Do not issue guarantees, legal conclusions, or sponsorship opinions without authority and documented review.
- Do not begin delivery while buyer purpose, contract terms, security controls, or payment conditions remain unclear.
Foire aux questions
Does this skill provide or sell data?
Can it verify that a data product is lawful?
Can it produce a final intermediary agreement?
Can it issue a sponsorship letter?
Are the listed commission ranges authoritative?
What information should I provide?
Détails du développeur
Auteur
图灵数盟Licence
MIT
Révision Skillstore
r1
Avis de version
L’auteur n’a déclaré aucune version.
Réf
50b73f83991cf073cbdf3f5afad2bbac71dd3bae
Récence de maintenance
30/09/2026
Utilisation
0 téléchargements · 0 vues
Structure de fichiers