Automate AI governance checks across cloud accounts and code repositories.
npx skills add https://github.com/transilienceai/shasta --skill ai-scan-transilienceai
Please help me install this Agent Skill. Skill: ai-scan Source: https://github.com/transilienceai/shasta/tree/main/.claude/skills/ai-scan Command: npx skills add https://github.com/transilienceai/shasta --skill ai-scan-transilienceai
This skill helps founders and engineering teams ensure AI governance and regulatory compliance across cloud accounts and code repositories, reducing risk and speeding up audits.
Run the ai-scan skill to perform a governance check across your cloud accounts and repositories and review the generated report.
High-intent search queries and answers about installing and using this skill.
You can automate cross-cloud AI governance by running checks across your AWS and Azure accounts to validate compliance, assess risk, and generate remediation guidance aligned with ISO 42001, EU AI Act, and NIST AI RMF.
Automated AI compliance validation supports ISO 42001, the EU AI Act, and NIST AI RMF, returning structured scores and findings to help engineering teams reduce risk and speed up audits.
AI risk assessment in code repositories and CI pipelines works by applying compliance mappings across your codebase to produce structured findings, scores, and actionable remediation guidance.
Yes, cross-cloud compliance validation supports integration with Whitney outputs, orchestrating AI governance checks by invoking Whitney and applying AI compliance mappings to generate structured reports.
Yes, AI governance scanning is specifically applicable to startups and engineering teams performing cross-cloud compliance validation and policy enrichment to ensure regulatory compliance and reduce risk.
Remediation guidance for NIST AI RMF findings is generated by running automated governance checks across your cloud accounts and code repositories, producing a structured report with scores and actionable fixes.
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