Apply the NIST AI Risk Management Framework (AI RMF 1.0) and adjacent guidance to AI / ML systems — model lifecycle governance, fairness and bias evaluation, robustness, transparency, accountability, third-party model risk, monitoring for drift, and AI incident response. Broader than prompt-injection (which is the security slice). Use when the user mentions 'AI risk,' 'AI governance,' 'NIST AI RMF,' 'AI compliance,' 'ML governance,' 'model risk management,' 'AI fairness,' 'AI bias,' 'algorithmic accountability,' 'AI Bill of Rights,' 'EU AI Act,' 'AI transparency,' 'model card,' 'AI red team,' 'AI safety,' 'responsible AI,' 'model drift,' 'concept drift,' 'AI monitoring,' 'AI incident,' or needs to assess or govern an AI / ML system.
$npx -y skills add briiirussell/cybersecurity-skills --skill ai-risk-managementInstalls into the current project.
Run `npx skills use "https://github.com/briiirussell/cybersecurity-skills" --skill "briiirussell/cybersecurity-skills/ai-risk-management"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/briiirussell/cybersecurity-skills" that are relevant to the current task. Run `npx skills add "https://github.com/briiirussell/cybersecurity-skills"` and select the relevant skills, then follow their instructions.