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StrangeDaysTech
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straymark-mcard

Guide users through interactive MCARD documentation creation and save the file.

2|Updated Apr 2, 2026
Search Tags:#risk assessment#template generation#AI governance#model card#interactive workflow#compliance documentation#system card
One-click install
npx skills add https://github.com/StrangeDaysTech/arborist-cli --skill straymark-mcard
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: straymark-mcard
Source: https://github.com/StrangeDaysTech/arborist-cli/tree/main/.gemini/skills/straymark-mcard
Command: npx skills add https://github.com/StrangeDaysTech/arborist-cli --skill straymark-mcard

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you produce thorough, structured Model/System Card (MCARD) documentation by turning an otherwise complex, multi-section compliance task into an interactive guided workflow.

Core Features & Use Cases

  • Interactive MCARD creation: Collects the required information section-by-section (identity, intended use, training data, evaluation, bias/security/ethics, and more).
  • Model-specific workflow: Supports providing a model name up front and then prompting for the remaining fields.
  • Regulatory risk classification guidance: Helps determine EU AI Act risk level, NIST GenAI risks, and an overall risk level based on user-provided details.
  • Template-driven document generation: Reads language configuration and a corresponding template to produce the final MCARD file in the proper repository folder.
  • Review gate before saving: Displays a summary and requires confirmation before creating the document, reducing accidental or incomplete submissions.

### Quick Start

Ask the AI to run the straymark-mcard workflow for your model by providing the model name and answering each prompted MCARD section until the document is created and saved.

Frequently Asked Questions about straymark-mcard

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

FAQPage Schema
How do I generate a compliant model card for AI governance documentation?▼

An interactive model card workflow collects required information section-by-section, including intended use, training data, and evaluation, then generates a saved compliance documentation file.

What is a model card or system card for regulatory risk classification?▼

A model or system card is structured compliance documentation detailing model identity, training data, bias, and ethics to help determine EU AI Act risk level and NIST GenAI risks.

How do I create step-by-step compliance documentation for AI bias and security?▼

Create step-by-step compliance documentation by using an interactive workflow that prompts for bias, security, ethics, and environmental impact details, then requires confirmation before saving the final file.

Does the model card generation workflow support EU AI Act and NIST GenAI risk levels?▼

Yes, the model card workflow supports regulatory risk classification by guiding you through EU AI Act risk levels and NIST GenAI risks based on the model details you provide.

Can I review the system card content before it saves to the repository?▼

Yes, a review gate displays a summary of the generated system card and requires your confirmation before creating the document, reducing accidental or incomplete submissions.

What are the limitations of using template generation for compliance documentation?▼

Template generation for compliance documentation requires interactive parameter handling and sequential document ID generation, meaning you must complete each prompted section sequentially to ensure proper placeholder replacement.

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