agentprivacy-separation-enforcement

Enforce the Φ(Σ) separation boundary in the 0xagentprivacy dual-agent architecture.

Updated Nov 22, 2025
One-click install
npx skills add https://github.com/mitchuski/agentprivacy-zypher --skill agentprivacy-separation-enforcement
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agentprivacy-separation-enforcement
Source: https://github.com/mitchuski/agentprivacy-zypher/tree/main/agentprivacy-skills/agentprivacy-skills-v4/role/agentprivacy-separation-enforcement
Command: npx skills add https://github.com/mitchuski/agentprivacy-zypher --skill agentprivacy-separation-enforcement

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill ensures that the critical separation between AI agents (Swordsman and Mage) is maintained, preventing a single entity from possessing both observation and action capabilities, thereby preserving user privacy and sovereignty.

Core Features & Use Cases

  • Mathematical Separation Enforcement: Formalizes and enforces the invariant det(Σ) ≠ 0 for the dual-agent architecture.
  • Privacy Preservation: Guarantees that signing and viewing capabilities remain orthogonal, preventing data exfiltration and unauthorized actions.
  • Use Case: When designing a new feature that might blur the lines between what the Swordsman (data protector) and Mage (data interpreter) can access, this Skill is activated to audit the design and ensure the separation matrix Φ(Σ) remains valid.

Quick Start

Activate the agentprivacy separation enforcement skill to verify the orthogonality of signing and viewing capabilities for the new user profile module.

Frequently Asked Questions about agentprivacy-separation-enforcement

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

FAQPage Schema
How do I enforce separation between AI agents to preserve user privacy?

Agent separation preserves user privacy by formalizing the boundary between observation and action capabilities. This Skill enforces the invariant det(Σ) ≠ 0 in a dual-agent architecture, preventing single entities from accessing both signing and viewing data.

What is the mathematical separation boundary in a dual-agent architecture?

The mathematical separation boundary Φ(Σ) ensures that signing and viewing capabilities remain orthogonal. This guarantees that data interpreters cannot exfiltrate unauthorized data or execute unauthorized actions across the dual-agent boundary.

How do I verify orthogonal signing and viewing capabilities for my module?

Verifying orthogonal capabilities involves auditing your design to ensure the separation matrix Φ(Σ) remains valid. This Skill checks that signing and viewing functions do not overlap, maintaining strict information-theoretic bounds.

When do I need to apply information-theoretic bounds for cryptographic separation?

Information-theoretic bounds are required when designing features that might blur agent boundaries. If a new module risks giving a single agent both observation and action capabilities, these cryptographic protocols must be applied to detect separation violations.

Does this separation enforcement approach work for any dual-agent system?

This separation enforcement is designed specifically for the 0xagentprivacy dual-agent architecture. It requires adherence to established cryptographic protocols to maintain the det(Σ) ≠ 0 invariant across the swordsman and mage agent boundary.

How to detect separation violations in a dual-agent architecture?

Detecting separation violations involves checking the separation matrix Φ(Σ) for determinant non-zero conditions. This Skill audits feature designs to identify when signing and viewing capabilities improperly intersect, preventing data exfiltration.