Iteration Governance

Generate human_responsibility.md and plan_next.md from IR outputs and templates.

Updated Jan 25, 2026

Search Tags:#planning #compliance #governance #evidence #delta #human-responsibility #model-governance

Ready to run

npx skills add https://github.com/gtylee/ModelGAS --skill iteration-governance

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Iteration Governance
Source: https://github.com/gtylee/ModelGAS/tree/main/modelgas/skills/iteration
Command: npx skills add https://github.com/gtylee/ModelGAS --skill iteration-governance

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires PyYAML.

What problem does it solve?

This skill automates the generation of governance artifacts by turning risk findings, delta plans, and evidence into a structured Human Responsibility document and a V2 implementation plan, reducing manual overhead and ensuring traceability.

Core Features & Use Cases

Automated artifact generation: Produce Human Responsibility and V2 planning outputs from IR and prior runs.
Delta-aware planning: Include delta summaries when prior plans exist and integrate evidence references.
Evidence-driven guidance: Use IR findings and templates to drive ownership, statuses, and next actions.

Quick Start

Provide the current IR outputs, prior planning templates, and any available human declarations to generate the Human Responsibility file and the V2 plan.

Frequently Asked Questions about Iteration Governance

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

FAQPage Schema

How do I automate governance artifact generation from risk findings and evidence?▼

Automate governance artifact generation by processing risk findings, delta summaries, and evidence references into a structured Human Responsibility document and a V2 implementation plan. This reduces manual overhead and ensures traceability across compliance iterations.

What is delta-aware planning in compliance governance?▼

Delta-aware planning in compliance governance involves generating V2 implementation plans that include delta summaries from prior plans and integrated evidence references. It tracks changes between iterations to maintain accountability and structured human responsibility.

How do I generate a Human Responsibility file for model governance?▼

Generate a Human Responsibility file by providing current IR outputs, prior planning templates, and human declarations. The skill converts these inputs into a structured responsibility document detailing ownership, statuses, and next actions.

Can I use PyYAML templates for governance iteration planning?▼

Yes, PyYAML is a required dependency for this skill. It processes provided planning templates and IR findings to produce human_responsibility.md, plan_next.md, and delta summaries for governance iterations.

What inputs do I need to produce a V2 implementation plan with deltas?▼

To produce a V2 implementation plan with deltas, you need to provide current IR outputs, prior planning templates, and any available human declarations. Prior plans enable the inclusion of delta summaries in the next planning iteration.

Why does my governance iteration plan lack evidence traceability?▼

Governance iteration plans lack evidence traceability when prior planning outputs and IR findings are not properly integrated. Providing complete evidence references and delta summaries ensures the generated Human Responsibility document maintains full compliance accountability.