policy

Evaluate policy rules and permissions on Semantica knowledge graphs.

3.0k|350|Updated Jun 25, 2025
One-click install
npx skills add https://github.com/semantica-agi/semantica --skill policy-semantica-agi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: policy
Source: https://github.com/semantica-agi/semantica/tree/main/plugins/skills/policy
Command: npx skills add https://github.com/semantica-agi/semantica --skill policy-semantica-agi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enforce policy governance over Semantica knowledge graphs to ensure auditable decisions, regulatory alignment, and consistent enforcement across the data stack.

Core Features & Use Cases

  • Policy evaluation and enforcement: Run policy checks and apply rules to ensure governance across knowledge graphs.
  • Access control and compliance: Manage who can perform actions and verify compliance with defined policies.
  • Auditability and reporting: Provide traceable evidence of policy decisions and remediation guidance for incidents.
  • Use Case: When an agent attempts to access restricted graph regions, automatically validate permissions and trigger remediation if violations are detected.

Quick Start

Configure a policy and run a check against a target entity to verify compliance.

Frequently Asked Questions about policy

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

FAQPage Schema
How do I enforce access control and governance policies over knowledge graphs?

To enforce access control over knowledge graphs, you can evaluate rules and permissions against target entities. This policy engine validates agent actions, scopes targets, and triggers remediation if access violations are detected.

What is policy auditing for graph data and how does it work?

Policy auditing for graph data involves evaluating compliance checks and rules to ensure governance. The mechanism provides traceable evidence of policy decisions, supplying rule metadata for auditable decisions and regulatory alignment.

How do I run a compliance check against a target entity in a graph?

To run a compliance check, configure a policy and execute a check operation against a specific target entity. The policy engine evaluates the defined rules and permissions to verify compliance and return auditable decisions.

Can I trigger remediation automatically when an agent violates graph access permissions?

Yes, when an agent attempts to access restricted graph regions, the policy evaluation automatically validates permissions. If violations are detected, the system triggers remediation guidance to resolve the compliance breach.

Does this policy engine support rule metadata for auditable decisions?

Yes, the policy engine supports rule metadata for auditable decisions. It satisfies functional requirements for check and list operations, target scoping, and compliance checks to ensure consistent enforcement across the data stack.

What's the best way to manage regulatory alignment and compliance across graph data?

The best way to manage regulatory alignment is enforcing policy governance over knowledge graphs. By running policy checks and applying defined rules, you ensure consistent enforcement, traceable evidence, and remediation guidance across graph data.