ai-process-assessment:governance-risk-gate

Evaluate GRC-flagged AI opportunities for regulatory, model risk, and auditability compliance.

Updated May 9, 2026
One-click install
npx skills add https://github.com/grandaha/ai-process-assessment --skill ai-process-assessment-governance-risk-gate
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-process-assessment:governance-risk-gate
Source: https://github.com/grandaha/ai-process-assessment/tree/main/skills/governance-risk-gate
Command: npx skills add https://github.com/grandaha/ai-process-assessment --skill ai-process-assessment-governance-risk-gate

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill mitigates operational and regulatory risk by enforcing a mandatory, evidence-based review for any AI opportunity flagged with potential governance, risk, or compliance concerns.

Core Features & Use Cases

  • Parallel Risk Assessment: Dispatches multiple agents to evaluate regulatory exposure, model risk, and auditability simultaneously.
  • Standardized Gatekeeping: Enforces a strict Cleared, Cleared with Conditions, or Blocked status for every flagged opportunity.
  • Use Case: Use this during an AI discovery engagement to ensure that high-risk use cases are either properly mitigated with human-in-the-loop requirements or blocked before they reach the scoring phase.

Quick Start

Invoke the governance risk gate skill to process all flagged opportunities within the current engagement folder.

Frequently Asked Questions about ai-process-assessment:governance-risk-gate

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

FAQPage Schema
How do I screen AI opportunities for governance, risk, and compliance before implementation?

To enforce compliance during AI discovery, evaluate flagged opportunities across regulatory, model risk, and auditability dimensions to generate a strict Cleared, Cleared with Conditions, or Blocked status. This ensures high-risk use cases are mitigated with human-in-the-loop requirements before scoring.

What is the best way to automate GRC screening for AI use cases?

Automated GRC screening for AI use cases dispatches parallel agentic reviews to evaluate regulatory exposure, model risk, and auditability simultaneously. This standardized gatekeeping ensures every flagged opportunity receives an evidence-based compliance evaluation.

Can I use parallel risk assessment to evaluate regulatory exposure and auditability?

Yes, parallel risk assessment dispatches multiple agents to evaluate regulatory exposure, model risk, and auditability simultaneously. This ensures comprehensive GRC screening by generating clearance status and conditions based on structured input from engagement files.

Does AI safety gating require structured input from engagement files?

Yes, AI safety gating requires structured input from engagement files to execute parallel agentic reviews accurately. The process operates on identified process opportunities to ensure compliance before scoring and implementation phases begin.

When should I block an AI opportunity during the compliance review phase?

You should block an AI opportunity during the compliance review phase when parallel risk assessment identifies unmitigable regulatory exposure or model risk. This standardized gatekeeping enforces a Blocked status to prevent high-risk use cases from reaching the scoring phase.