Can I use my own documentation templates?

Yes, the skill automatically checks for customized templates in your project's .arckit/templates/ folder before falling back to defaults.

How does this skill determine AI risk levels?

It uses the JSP 936 likelihood × impact matrix to classify systems into Minor, Moderate, Major, Severe, or Critical risk levels.

What project artifacts are required for the best results?

It works best when your project already contains Architecture Principles (PRIN) and Requirements (REQ) documents generated via ArcKit.

JSP 936 is the UK Ministry of Defence's principal policy framework for the safe and responsible adoption of Artificial Intelligence in defence projects.

Does it support Generative AI and LLMs?

Yes, the skill specifically identifies and documents Generative AI, Large Language Models, and synthetic data generation as part of its AI component discovery.

ArcKit JSP 936 AI Assurance

Name: ArcKit JSP 936 AI Assurance
Author: tractorjuice

bytractorjuice

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164

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Data Science & ML

Generates compliant UK Ministry of Defence JSP 936 documentation for AI and ML systems within defence projects.

The arckit-jsp-936 skill automates the creation of rigorous AI assurance documentation required for UK Ministry of Defence (MoD) projects. It maps AI/ML components against the five core JSP 936 ethical principles—Human-Centricity, Responsibility, Understanding, Bias & Harm Mitigation, and Reliability—while performing automated risk classification. By scanning existing project artifacts like architecture principles, requirements, and risk registers, it ensures that defence AI systems meet mandatory compliance standards and navigate the correct approval pathways from TLB-level to Ministerial oversight.

Key Features

01Comprehensive mapping of AI components to the five MoD ethical principles

02Identification of specific AI approval pathways (Ministerial, JROC, or TLB)

03164 GitHub stars

04Automated JSP 936 ethical risk classification and likelihood/impact scoring

05Support for custom documentation templates and organizational overrides

06Deep scanning of ArcKit project artifacts for contextual compliance evidence

Use Cases

01Assessing ethical risk and bias mitigation for predictive analytics tools in defence operations

02Generating AI assurance safety cases for military autonomous systems and drones

03Preparing compliance documentation for JROC or IAC defence-level approval reviews

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add tractorjuice/arc-kit arckit-jsp-936

For use in Claude.ai and ChatGPT

Key Features

01Comprehensive mapping of AI components to the five MoD ethical principles

02Identification of specific AI approval pathways (Ministerial, JROC, or TLB)

03164 GitHub stars

04Automated JSP 936 ethical risk classification and likelihood/impact scoring

05Support for custom documentation templates and organizational overrides

06Deep scanning of ArcKit project artifacts for contextual compliance evidence

Use Cases

01Assessing ethical risk and bias mitigation for predictive analytics tools in defence operations

02Generating AI assurance safety cases for military autonomous systems and drones

03Preparing compliance documentation for JROC or IAC defence-level approval reviews