arckit-au-ai-assurance

Generate AI assurance assessments mapping artefacts to DTA, ISO 42001, and Privacy Act requirements.

Updated Jul 24, 2026
One-click install
npx skills add https://github.com/tractorjuice/arckit-kimi --skill arckit-au-ai-assurance
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: arckit-au-ai-assurance
Source: https://github.com/tractorjuice/arckit-kimi/tree/main/skills/arckit-au-ai-assurance
Command: npx skills add https://github.com/tractorjuice/arckit-kimi --skill arckit-au-ai-assurance

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the complexity of aligning AI systems with Australian regulatory frameworks, including the DTA Responsible AI Policy v2.0, ISO 42001, and the Privacy Act, by automating the generation of comprehensive assurance assessments.

Core Features & Use Cases

  • Regulatory Alignment: Maps AI system architecture against DTA, AI6, and ISO 42001 standards to identify compliance gaps.
  • Evidence Integration: Automatically synthesizes project artefacts like DFDs, risk registers, and data models into a unified assurance report.
  • Use Case: An enterprise architect preparing a government-regulated AI system for production can use this tool to generate a complete compliance assessment that satisfies both internal governance and external audit requirements.

Quick Start

Invoke the arckit-au-ai-assurance skill to generate a full compliance report for the current project.

Frequently Asked Questions about arckit-au-ai-assurance

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate an Australian AI compliance assessment for government systems?

Generate an Australian AI compliance assessment by mapping technical artefacts against DTA, ISO 42001, and Privacy Act requirements to produce a unified assurance report for Commonwealth entities.

What is AI assurance mapping against DTA and ISO 42001 standards?

AI assurance mapping evaluates AI system architecture against DTA Responsible AI Policy v2.0 and ISO 42001 standards to identify compliance gaps and satisfy mandatory risk management documentation.

Can I use project artefacts like data models and risk registers for automated compliance reporting?

Yes, the assessment synthesizes project artefacts including DFDs, risk registers, and data models into a comprehensive compliance report that satisfies both internal governance and external audit requirements.

Does this compliance tool support both generative and predictive AI models?

Yes, the assurance assessment supports lifecycle governance, fairness evaluation, and security posture analysis for both generative and predictive AI models regulated under Australian frameworks.

When do I need an ISO 42001 compliance assessment for AI systems in Australia?

You need an ISO 42001 compliance assessment when preparing a government-regulated AI system for production to satisfy mandatory reporting and risk management requirements for Commonwealth entities and their suppliers.

What are the limitations of automating Privacy Act compliance for AI assurance?

Automation focuses on synthesizing provided project artefacts against regulatory frameworks; assessments depend on complete and accurate input documentation to identify compliance gaps effectively.