The growing adoption of artificial intelligence (AI) in public administration necessitates reliable methods for assessing AI literacy among civil servants. This study presents an analysis of existing AI literacy scales to evaluate their suitability for public administration contexts. Based on a scoping review, 16 validated scales were identified and analyzed in this study. The scales were mapped to AI literacy requirements derived from the AI4Gov canvas. The results show that most scales focus on core AI literacy, self-reports, multiple-choice knowledge tests and emerging generative AI literacy assessments, but largely neglect applied, governance-related, and context-specific skills. Overall, the findings suggest that existing AI literacy scales provide a useful foundation for assessing AI literacy among civil servants, but need to be extended to capture the governance-oriented, organizational, and context-specific competencies required for responsible AI adoption in public administration.