goal-arbitration

Register, evaluate, and arbitrate competing goals for an OpenClaw agent collective.

Updated Mar 22, 2026
One-click install
npx skills add https://github.com/Heretek-AI/heretek-openclaw --skill goal-arbitration
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: goal-arbitration
Source: https://github.com/Heretek-AI/heretek-openclaw/tree/main/skills/goal-arbitration
Command: npx skills add https://github.com/Heretek-AI/heretek-openclaw --skill goal-arbitration

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

OpenClaw faces competing goals that must be registered, evaluated, and prioritized across multiple sources. This skill provides a centralized arbiter to ensure ethical, resource-aware decision-making within the agent collective.

Core Features & Use Cases

  • Multi-Source Goal Registration: accepts goals from curiosity, users, system, and inter-agent sources.
  • Inviolable Parameter Evaluation: enforces safety constraints during evaluation.
  • Value Alignment Scoring: assesses how well goals align with collective values.
  • Resource & Feasibility Checks: validates prerequisites and resource availability before activation.
  • Consensus & Activation: coordinates triad/consensus steps for activation and execution.
  • History & Metrics: tracks completion, timing, and quality of outcomes.

Quick Start

Register a goal and let the arbiter evaluate and prioritize it for activation.

Frequently Asked Questions about goal-arbitration

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

FAQPage Schema
How do I prioritize and arbitrate competing goals for an agent collective?

To prioritize competing goals for an agent collective, you can register goals from multiple sources for centralized evaluation. The arbiter applies value alignment scoring and resource feasibility checks to activate goals safely.

What is goal arbitration in multi-agent workflow management?

Goal arbitration in multi-agent workflow management is the process of registering, evaluating, and prioritizing competing objectives across curiosity, user, system, and inter-agent sources to ensure resource-aware, ethical decision-making.

How do I enforce safety constraints before activating agent goals?

You enforce safety constraints before activating agent goals by applying inviolable parameter checks during goal evaluation. The system validates prerequisites and resource availability while enforcing configurable concurrency and safety thresholds.

Can I register and track goals from multiple sources in an agent system?

Yes, you can register and track goals from multiple sources in an agent system. The arbitrator accepts curiosity-driven, user-submitted, system-generated, and inter-agent goals, persisting state and tracking completion history and metrics.

What's the best way to manage goal concurrency and consensus in agent triads?

The best way to manage goal concurrency and consensus in agent triads is using a modular arbitrator that enforces configurable concurrency thresholds and coordinates consensus steps for safe goal activation and execution.

How do I evaluate value alignment and feasibility for system-generated agent goals?

You evaluate value alignment and feasibility for system-generated agent goals by applying inviolable parameter checks and resource validation. The arbiter assesses collective value alignment and validates prerequisites before activation.