agentprivacy-dragon
CommunityFormalize privacy value.
Authormitchuski
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a comprehensive formal economic model for pricing privacy as infrastructure, answering the fundamental question of how privacy-preserving data derives measurable value compared to surveilled data.
Core Features & Use Cases
- Formal Economic Model: Presents the V4 Privacy Value Model equation and its six valuation dimensions.
- Architectural Concepts: Explains dual-agent separation, sovereignty forces, edge value, and stratum logic.
- Use Case: When discussing the foundational principles of privacy economics, the V(π,t) equation, or the quantifiable benefits of sovereign data architectures, this Skill provides the complete theoretical framework.
Quick Start
Explain the core equation V(π,t) from the Privacy Value Model V4.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: agentprivacy-dragon Download link: https://github.com/mitchuski/agentprivacy-zypher/archive/main.zip#agentprivacy-dragon Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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