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applied-data-information-security

Formalize data-security properties and information-flow concerns in Lean 4.

2|Updated May 26, 2026
Search Tags:#security#lean#privacy#formal-verification#information-security#information-flow
One-click install
npx skills add https://github.com/r-irbe/proof-skills --skill applied-data-information-security
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: applied-data-information-security
Source: https://github.com/r-irbe/proof-skills/tree/main/skills/applied-data-information-security
Command: npx skills add https://github.com/r-irbe/proof-skills --skill applied-data-information-security

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Formalizes data-security properties and information-flow concepts in Lean 4, enabling rigorous verification of security models, access-control schemes, and privacy properties.

Core Features & Use Cases

  • Formalize CIA triad, RBAC/ABAC/BLP access-control, and information-flow in Lean.
  • Prove privacy properties such as differential privacy and k-anonymity within Lean 4 verification workflows.
  • Model security properties for provenance, trust composition, and multi-agent interactions.

Quick Start

Load the handbook and begin a Lean session to encode a basic CIA-triad access-control model.

Frequently Asked Questions about applied-data-information-security

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

FAQPage Schema
How do I formalize information security properties in Lean 4?▼

Formalize information security in Lean 4 by loading the provided handbook and encoding CIA triad models and access-control schemes to rigorously verify security constraints.

Can I verify access-control models like RBAC, ABAC, and BLP in Lean?▼

Yes, you can verify access-control models in Lean by encoding RBAC, ABAC, and Bell-LaPadula (BLP) schemes to mathematically prove their information-flow properties and security constraints.

What is the best way to prove privacy properties like differential privacy in Lean?▼

Prove privacy properties like differential privacy and k-anonymity in Lean by formalizing them within your verification workflows to mathematically validate privacy guarantees against data leaks.

Does this support modeling information flow for multi-agent systems?▼

Yes, it supports modeling information flow for multi-agent systems by formalizing security properties for provenance, trust composition, and complex interactions within Lean 4.

Do I need a specific environment to start formal verification of cryptographic primitives?▼

You need a Lean 4 environment to start formal verification of cryptographic primitives, utilizing modular Lean encodings and reference-based workflows provided by the included handbook.

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