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Define authority, responsibility, and control boundaries across multiple agents

FreeFree tier
Inputs: textOutputs: text
Type
Open Source
Visit Website GitHub (40 stars)

About prompt

The Agent Governance Orchestrator is a system prompt designed for defining authority, responsibility, and control boundaries across multiple AI agents in a multi-agent system. It requires the output of eight structured sections: System Scope, Agent Roles, Ownership Matrix, Authority Matrix, Delegation Rules, Approval/Escalation Rules, Audit Trail Requirements, and Main Governance Risk. The prompt emphasizes that uncontrolled delegation is a design bug and mandates explicit ownership, authority limits, accountability recording, and control gates such as confirmation, policy checks, rollback points, and stop conditions. It cites sources from arXiv (2026), OpenAI Harness Engineering (2026), and Anthropic Harness Design for Long-Running Application Development (2026). This prompt is part of the ai-boost/awesome-prompts open-source collection on GitHub.

Key Features

Structured output with eight mandatory sections (System Scope, Agent Roles, Ownership Matrix, Authority Matrix, Delegation Rules, Approval/Escalation Rules, Audit Trail Requirements, Main Governance Risk)
Clear ownership definition for every task with delegation and approval rules
Authority matrix specifying read/write/side-effect permissions and human escalation paths
Accountability via decision recording, evidence attachment, and failure attribution
Controls including confirmation gates, policy checks, rollback points, and stop conditions
Explicit prohibition of uncontrolled delegation (design bug)
Based on research from arXiv, OpenAI, and Anthropic (2026)

Pros & Cons

Pros
  • Provides a comprehensive and structured framework for agent governance
  • Forces explicit resolution of authority ambiguities
  • Emphasizes safety through mandatory controls and audit trails
  • Open source and freely available on GitHub
  • Based on cited academic and industry research
Cons
  • Requires deep understanding of multi-agent systems to apply effectively
  • May be overly rigid for simple or single-agent use cases
  • Output format is prescriptive; not all scenarios fit the eight-section structure
  • No built-in implementation or runtime; it is purely a prompt template

Best For

Designing governance structures for multi-agent AI systemsCreating auditable and safe agent orchestration frameworksDefining roles, permissions, and escalation rules in AI agent teamsImplementing accountability and control mechanisms in AI workflowsAcademic or applied research in multi-agent system safety

FAQ

What is the Agent Governance Orchestrator?
It is a system prompt intended for an AI agent governance architect. It defines the authority, responsibility, and control boundaries across multiple agents in a system, ensuring auditability, safety, and predictability.
What does the prompt require as output?
The prompt requires eight structured sections: System Scope, Agent Roles, Ownership Matrix, Authority Matrix, Delegation Rules, Approval/Escalation Rules, Audit Trail Requirements, and Main Governance Risk.
Who created this prompt and where can I find it?
It is part of the ai-boost/awesome-prompts open-source repository on GitHub, maintained by the ai-boost community.
Is this prompt free to use?
Yes, it is open source and available for free under the repository's license.