What is a Rule of Constraints (RoC)?

A Rule of Constraints (RoC) is a policy bundle that defines the operational boundaries, allowed tools, and required approvals for an AI agent within a specific bounded context.

How does this skill improve AI safety?

It allows developers to explicitly forbid dangerous tools and mandate human review for specific triggers, preventing unintended actions by autonomous agents.

Where are the governance policies stored?

Policies are generated as YAML files within the runtime/contexts/ directory of your project, making them easy to version-control and audit.

Can I customize escalation triggers?

Yes, you can define specific conditions or 'keys' that trigger an escalation to a human or a specific supervisor role when the agent encounters a restricted scenario.

Does this skill support different agent roles?

Yes, you can specify agent types, models, and roles (like Strategist) to tailor the constraints to the specific function the AI is performing.

Agent Governance & Constraints

Name: Agent Governance & Constraints
Author: venikman

byvenikman

Productivity & Workflow

Defines specialized Rule of Constraints (RoC) policy bundles to establish guardrails and autonomy boundaries for AI agents.

About

This skill automates the creation of Rule of Constraints (RoC) policy documents, allowing developers to precisely define the operational boundaries of AI agents within a specific context. By specifying allowed tools, forbidden actions, approval requirements, and escalation triggers, it ensures that autonomous agents operate safely, predictably, and within organizational compliance standards. It is an essential tool for teams looking to scale AI-driven workflows while maintaining strict oversight and security through structured policy enforcement.

Key Features

Generate standardized YAML policy bundles for auditability and version control
Configure mandatory approval triggers for sensitive or high-risk operations
Create context-specific guardrails for bounded agent environments
0 GitHub stars
Establish clear escalation paths for human intervention when constraints are met
Define tool-use permissions including allowed and forbidden tool lists

Use Cases

Defining hierarchical approval workflows for automated infrastructure deployments
Establishing safety boundaries for an AI agent performing sensitive database operations
Restricting agent access to specific CLI tools in production-ready environments

About

Key Features

Generate standardized YAML policy bundles for auditability and version control
Configure mandatory approval triggers for sensitive or high-risk operations
Create context-specific guardrails for bounded agent environments
0 GitHub stars
Establish clear escalation paths for human intervention when constraints are met
Define tool-use permissions including allowed and forbidden tool lists

Use Cases

Defining hierarchical approval workflows for automated infrastructure deployments
Establishing safety boundaries for an AI agent performing sensitive database operations
Restricting agent access to specific CLI tools in production-ready environments