objective-binding

Bind objective types to goal harnesses using schema constraints.

Updated May 11, 2026

Search Tags:#schema #safety #orchestration #governance #capability #harness

Ready to run

npx skills add https://github.com/AesopScott/mojo --skill objective-binding

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: objective-binding
Source: https://github.com/AesopScott/mojo/tree/main/harnesses/skills/objective-binding
Command: npx skills add https://github.com/AesopScott/mojo --skill objective-binding

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the risk of capability overreach by providing a structured framework to bind specific objective types to defined goal harnesses, ensuring that new capabilities are contained within strict authority boundaries.

Core Features & Use Cases

Capability Control: Defines clear boundaries for what an AI agent can modify within a goal harness.
Schema Enforcement: Uses a goal schema to ensure new objective types bind cleanly and predictably.
Use Case: When adding a new automated task to a project management harness, use this skill to define the exact scope of the task and prevent the agent from accessing unauthorized system configurations or external APIs.

Quick Start

Use the objective-binding skill to define the boundary and schema for a new capability by following the harness control runbook provided in the documentation.

Frequently Asked Questions about objective-binding

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

FAQPage Schema

How do I prevent AI agents from overreaching capabilities in task orchestration?▼

Capability overreach is prevented by binding specific objective types to defined goal harnesses using schema constraints, ensuring new capabilities remain contained within strict authority boundaries during task orchestration.

What is capability binding for goal-oriented AI harnesses?▼

Capability binding establishes controlled boundaries for goal-oriented AI harnesses by defining objective sources and schema constraints, ensuring safe, testable, and bounded capability expansion within production-grade AI systems.

How do I enforce policy boundaries when adding automated tasks to a project management harness?▼

Policy boundaries are enforced by applying a goal schema that defines the exact scope of new automated tasks, preventing the agent from accessing unauthorized system configurations or external APIs.

When do I need schema constraints for AI capability expansion?▼

Schema constraints are needed when expanding capabilities in production-grade AI systems to ensure new objective types bind cleanly and predictably, maintaining architectural control over task orchestration and boundary management.

Can I use objective-binding for architectural changes in policy enforcement?▼

Yes, objective-binding applies to architectural changes in task orchestration, policy enforcement, and boundary management, providing a structured framework to safely test and bound capability expansion.

Does objective-binding work without external dependencies?▼

Yes, objective-binding operates independently with no external dependencies, using an internal harness control runbook to define boundaries and schemas for new capabilities.