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6 skills found
by PromptWagon
Creates structured safety cases, risk arguments, controls evidence, assumptions, limitations, assurance claims, decision logs, review questions, and sign-off packs for AI-enabled products, systems, workflows, and features. Helps teams turn AI governance expectations into practical documentation rather than abstract policy language.
Draft the AI documentation the EU AI Act expects — model cards, AI-use disclosures, transparency notices, risk-tier worksheets, and technical-doc skeletons. Counsel-ready drafts from a regulated-industry documentation professional, with templates included.
by LocoLoboZ
Design and validate IEC 62443-compliant security zones and conduits for industrial (OT) networks.
by LocoLoboZ
Expert security assessment for industrial control systems, HMIs, and OT environments based on technical evidence.
Inventory every LLM model and provider your code depends on, the AI bill of materials, and flag the dependency risk. It lists each provider, model, and where it's used, then flags hardcoded model ids, single-provider dependency with no alternative, the same model referenced by different ids, model ids with no config or env indirection, and providers pinned in your manifests. Recognizes OpenAI, Anthropic, Google Gemini, and more from an editable list.
Generate the model and vendor risk register a security lead asks for the morning after a model gets switched off. It scans your codebase for every model and provider, merges in the owner and data-residency notes you supply, and renders a register with provider, model, where it's used, fallback status, and an availability-risk rating per dependency. Markdown by default, CSV with a flag. Continuity-focused, not a compliance assessment.