trusted-data-space-expert
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.
Installer avec mon Agent
Copiez cette demande dans votre Agent. Elle contient la page Skill de référence et le manifeste.
Review the Skillstore skill "trusted-data-space-expert" from https://skillstore.io/skills/dhturing-trusted-data-space-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-trusted-data-space-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 « trusted-data-space-expert ». Should a regional manufacturing association build an industry data space with two interested companies?
Résultat attendu:
Recommendation: do not begin platform construction yet. Confirm one valuable shared scenario, recruit at least one more committed participant, and secure ongoing operations funding.
Utilisation de « trusted-data-space-expert ». Choose a technical path for joint fraud modeling when both parties treat source data as sensitive.
Résultat attendu:
Use privacy computing as the primary path. Benchmark performance, restrict outputs, apply strong identity and authorization controls, and preserve auditable consent records.
Utilisation de « trusted-data-space-expert ». Outline governance rules for a city trusted data space.
Résultat attendu:
- Admission: define eligibility, due diligence, security requirements, and exit conditions.
- Authorization: specify purpose, scope, duration, revocation, and onward-use restrictions.
- Governance: define voting, audits, incident handling, disputes, and benefit allocation.
Audit de sécurité
SûrAll 12 static findings are false positives caused by Markdown syntax, documented installation paths, public metadata links, and entropy heuristics on multilingual text. The reviewed files contain no executable shell logic, network requests, obfuscated payloads, prompt injection, or unsafe filesystem operations.
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-trusted-data-space-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportBadge Markdown
[](https://skillstore.io/skills/dhturing-trusted-data-space-expert?utm_source=security_passport_badge)Badge HTML
<a href="https://skillstore.io/skills/dhturing-trusted-data-space-expert?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dhturing-trusted-data-space-expert/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Carte intégrable
<iframe src="https://skillstore.io/embed/skills/dhturing-trusted-data-space-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). trusted-data-space-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-trusted-data-space-expert/audits/1Citation BibTeX
@techreport{dhturing-trusted-data-space-expert-2026,
author = {图灵数盟},
title = {trusted-data-space-expert security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/dhturing-trusted-data-space-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: "trusted-data-space-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-trusted-data-space-expert/audits/1"
identifiers:
- type: other
value: "skillstore:dhturing-trusted-data-space-expert:audit:1"
description: "Skillstore immutable audit report identifier"
Score Skillstore
Pourquoi ce score Niveau de confiance des preuves: MoyenCe que vous pouvez créer
Evaluate a Proposed Data Space
Assess real demand, participant readiness, operating resources, suitable type, and whether construction should proceed.
Choose a Secure Collaboration Model
Compare privacy computing, sandboxes, trusted execution environments, and custodial models for a sensitive joint analysis.
Define Governance and Operations
Draft participation, authorization, benefit allocation, dispute, pricing, and continuous operating arrangements.
Essayez ces prompts
Assess whether [organization] should build a trusted data space using demand, participants, resources, risks, and a clear recommendation.
Compare the five data space types for [scenario], then recommend a scope, lead organization, participants, and first use case.
Design a four-layer architecture for [scenario], selecting privacy, identity, authorization, audit, sandbox, and trusted execution controls with tradeoffs.
Create a phased roadmap for [initiative] covering governance, agreements, architecture, compliance, pilot delivery, acceptance, operations, metrics, dependencies, and risks.
Bonnes pratiques
- Validate a real multi-party use case before selecting technology or procuring a platform.
- Secure participant commitments and governance agreement before platform construction.
- Start with one achievable pilot and measure value, security, performance, and operating effort.
Éviter
- Do not build a large platform before confirming demand and committed participants.
- Do not select privacy technology without workload benchmarks and threat analysis.
- Do not leave benefit allocation, accountability, or dispute handling until launch.
Foire aux questions
What is a trusted data space?
Which data space types does the skill cover?
Does the skill always recommend building a platform?
Can it select privacy technologies?
Does it replace legal or security review?
What information improves the result?
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