agentprivacy-soulbis

Enforce privacy boundaries and consent protocols for the 0xagentprivacy dual-agent architecture.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

This Skill acts as the canonical swordsman agent, enforcing privacy, making boundaries, and protecting user data through mathematical separation and cryptographic verification. It defends against surveillance and ensures adherence to consent policies.

Core Features & Use Cases

  • Privacy Enforcement: Blocks trackers, enforces consent (MyTerms), and slashes surveillance.
  • Boundary Making: Establishes and maintains cryptographic separation between AI agents (Mage and Swordsman).
  • Signing Key Operations: Holds and uses the signing key for critical transaction splits and attestations without compromising privacy.
  • Use Case: When interacting with an AI that needs to process sensitive information, Soulbis ensures that the AI only receives verified signals and never has direct access to the raw, unverified data, thus preventing potential surveillance or misuse.

Quick Start

Use the agentprivacy-soulbis skill to enforce privacy boundaries by blocking all trackers.

Frequently Asked Questions about agentprivacy-soulbis

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

FAQPage Schema
How do I enforce privacy boundaries between AI agents using cryptographic separation?

To enforce privacy boundaries between AI agents, you use a dual-agent architecture that establishes cryptographic separation. This blocks surveillance by ensuring the processing agent only receives verified signals without direct access to raw data.

What is the best way to block trackers and enforce consent protocols for sensitive AI processing?

The best way to block trackers and enforce consent protocols is to use a dedicated enforcement agent. It slashes surveillance attempts and ensures strict adherence to defined consent policies like MyTerms during AI interactions.

How does signing key management work for transaction splits without compromising privacy?

Signing key management for transaction splits works by having a dedicated enforcement agent hold the key. This agent executes critical attestations and transaction operations without exposing raw data, preventing surveillance and misuse.

Can I use privacy enforcement to manage Zcash integration and on-chain proof inscriptions?

Yes, privacy enforcement supports Zcash integration and on-chain proof inscriptions. The enforcement agent loads comprehensive role skills to provide mathematical protection across these specific cryptographic domains.

When do I need a dual-agent architecture for privacy-preserving AI verification?

You need a dual-agent architecture for privacy-preserving AI verification when processing sensitive information. It prevents potential surveillance by mathematically separating the data-processing agent from the boundary-enforcing agent.

Does this approach require loading multiple role skills for comprehensive domain protection?

Yes, comprehensive domain protection requires loading all 50 role skills. This ensures the enforcement agent can manage signing keys, block trackers, and handle consent protocols across various integration domains simultaneously.