midnight-core-concepts:privacy-patterns
CommunityPrivacy patterns for private on-chain logic.
Authoraaronbassett
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a toolkit for implementing privacy-preserving logic on the Compact platform by combining hashes, commitments, Merkle trees, and nullifier patterns to keep data private while enabling verifiable proofs.
Core Features & Use Cases
- Pattern-based privacy primitives: Hashes, Pedersen commitments, Merkle trees, and nullifiers to hide data while enabling verification.
- On-chain privacy scenarios: Private ballots, confidential asset commitments, and membership proofs where sensitive information must remain secret but verifiable.
- Reference implementations: Example circuits and references demonstrating how to compose these primitives in real workflows.
Quick Start
Implement a small example that proves a secret value is in a precomputed Merkle tree using a path and a commitment.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
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Please help me install this Skill: Name: midnight-core-concepts:privacy-patterns Download link: https://github.com/aaronbassett/midnight-knowledgebase/archive/main.zip#midnight-core-concepts-privacy-patterns Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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