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mastepanoski
GitHub-Creator-Profil

mastepanoski

Repository-Ansicht von 12 gesammelten Skills in 1 GitHub-Repositories.

gesammelte Skills
12
Repositories
1
aktualisiert
2026-06-04
Repository-Karte

Wo die Skills liegen

Top-Repositories nach gesammelter Skill-Anzahl, mit ihrem Anteil an diesem Creator-Katalog und ihrer Berufsverteilung.

Repository-Explorer

Repositories und repräsentative Skills

gdpr-audit
Informationssicherheitsanalysten

GDPR compliance audit of code, plans, schemas, or IaC. Produces a findings report with article citations, severity, confidence, and fixes; flags evidence gaps. Not a substitute for a DPO/lawyer.

2026-06-04
iso-42001-ai-governance
Compliance-Beauftragter

AI governance readiness and gap assessment using ISO/IEC 42001:2023. Evaluate AI management-system practices for risk management, accountability, transparency, security, and continuous improvement.

2026-06-03
owasp-ai-testing
Informationssicherheitsanalysten

AI trustworthiness testing using OWASP AI Testing Guide v1. Execute 32 test cases across 4 layers (Application, Model, Infrastructure, Data) with practical payloads and remediation.

2026-06-03
ai-assessment-scale
Unternehmensberater

Evaluate AI contribution in software projects using the AI Assessment Scale (AIAS) v2 5-level framework. Adapt the education-focused framework for transparent project documentation across development stages.

2026-06-03
cognitive-walkthrough
Industrie- und Gewerbedesigner

Deep-dive usability evaluation of specific user tasks. Simulates novice user cognition step-by-step to identify learnability issues, unclear actions, and points of confusion.

2026-06-03
don-norman-principles-audit
Grafikdesigner

Evaluate UX/UI using Don Norman's 7 fundamental design principles from The Design of Everyday Things. Audit discoverability, affordances, signifiers, feedback, mapping, constraints and conceptual models.

2026-06-03
nielsen-heuristics-audit
Grafikdesigner

Evaluate UX/UI using Jakob Nielsen's 10 usability heuristics. Comprehensive audit of visibility, control, consistency, error prevention, recognition, flexibility, aesthetics, error recovery, and documentation.

2026-06-03
nist-ai-rmf
Compliance-Beauftragter

AI risk assessment using NIST AI RMF 1.0 framework. Evaluate AI systems across 4 core functions (Govern, Map, Measure, Manage) for trustworthy and responsible AI deployment.

2026-06-03
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