god-member

Provide independent oversight and governance for autonomous AI development workflows.

182|33|Updated Feb 1, 2026
One-click install
npx skills add https://github.com/YougLin-dev/Aha-Loop --skill god-member
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: god-member
Source: https://github.com/YougLin-dev/Aha-Loop/tree/main/.agents/skills/god-member
Command: npx skills add https://github.com/YougLin-dev/Aha-Loop --skill god-member

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill defines the behavior and responsibilities of a God Committee member, providing independent oversight and authority over the project to ensure accountability, safety, and alignment with the vision.

Core Features & Use Cases

  • Observation & Monitoring: Continuously watch execution progress, system health, and code changes.
  • Intervention & Governance: Pause, repair, or modify processes or configurations when issues arise.
  • Communication & Consensus: Coordinate with other committee members to discuss, propose, and vote on actions.
  • Workflows & Protocols: Follow predefined observation, decision, and escalation workflows to maintain transparency.

Quick Start

Activate the God Committee member and begin observation by locking your ID, then running the observer and council scripts.

  • Lock your ID: ./scripts/god/council.sh lock YOUR_MEMBER_ID
  • Take a system snapshot: ./scripts/god/observer.sh snapshot
  • Propose an action: ./scripts/god/council.sh propose
  • Start a session: ./scripts/god/council.sh session-start

Frequently Asked Questions about god-member

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

FAQPage Schema
How do I set up independent oversight for autonomous AI development?

Independent oversight for autonomous AI development is set up by activating a God Committee member role to monitor execution progress, enforce governance, and apply predefined intervention scripts for project safety.

What is consensus-based decision making for AI governance?

Consensus-based decision making for AI governance is a protocol where committee members coordinate, propose actions, and vote to ensure transparent, collective authority over autonomous system modifications.

How do I monitor and take snapshots of autonomous AI execution progress?

You monitor autonomous AI execution progress by running the observer script to take system snapshots, continuously watching code changes, system health, and architectural decisions throughout the workflow.

Can I directly pause or modify autonomous AI processes when issues arise?

Yes, you can directly pause, repair, or modify autonomous AI processes by executing predefined intervention scripts and governance protocols when observation detects system health or execution anomalies.

How do I propose an action and start a council session for AI oversight?

You propose an action and start a council session by running the council script to lock your member ID, submit proposals, and initiate collaborative discussions for consensus-based governance.

When should I use predefined intervention protocols for autonomous AI?

Predefined intervention protocols for autonomous AI should be used when execution progress halts, architectural decisions require validation, or system health incidents demand transparent, immediate governance responses.