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mastepanoski
GitHub creator profile

mastepanoski

Repository-level view of 12 collected skills across 1 GitHub repositories.

skills collected
12
repositories
1
updated
Jun 4, 2026
repository map

Where the skills live

Top repositories by collected skill count, with their share of this creator catalog and occupation spread.

repository explorer

Repositories and representative skills

gdpr-audit
information-security-analysts

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.

Jun 4, 2026
iso-42001-ai-governance
compliance-officers-131041

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.

Jun 3, 2026
owasp-ai-testing
information-security-analysts

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.

Jun 3, 2026
ai-assessment-scale
management-analysts-131111

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.

Jun 3, 2026
cognitive-walkthrough
commercial-and-industrial-designers

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.

Jun 3, 2026
don-norman-principles-audit
graphic-designers

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.

Jun 3, 2026
nielsen-heuristics-audit
graphic-designers

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.

Jun 3, 2026
nist-ai-rmf
compliance-officers-131041

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.

Jun 3, 2026
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