Can this skill help with batch proof verification?

Yes, it includes patterns for batch cache lookups using Redis mget and pipelines to efficiently check multiple proofs simultaneously.

Is it secure to cache verification results?

Yes, as long as the cache key uniquely identifies the circuit ID, proof hash, and public input hash, the verification result for that specific combination remains constant.

How does the skill handle cache invalidation for ZK proofs?

It provides strategies for automatic invalidation based on TTL, contract upgrades, state changes, or manual admin-triggered purges.

What types of proof components can be cached using this skill?

You can cache verification results (which are typically immutable), circuit keys, generated proofs, and witness templates to avoid redundant computation.

When should I use Redis versus in-memory caching?

Use in-memory LRU caching for low-latency local access on a single node, and use Redis for distributed systems where multiple service instances need to share verification results.

Midnight Proof Caching

Name: Midnight Proof Caching
Author: aaronbassett

byaaronbassett

0•

보안 및 테스팅

Optimizes Zero-Knowledge proof workflows by implementing efficient caching strategies for verification results and proof components.

Midnight Proof Caching provides standardized patterns and implementation guides for caching Zero-Knowledge (ZK) proofs to significantly reduce redundant computation and improve system performance. It offers comprehensive strategies for caching verification results, circuit keys, and witness templates using both in-memory LRU and distributed Redis-based approaches. By implementing these best practices for cache key design and invalidation, developers can build scalable proof generation services that handle high loads while maintaining state consistency and cryptographic security.

주요 기능

01TTL-based and event-driven cache invalidation strategies

02Batch cache lookup patterns for optimized bulk verifications

030 GitHub stars

04Standardized cache key design for unique proof identification

05Implementation of multi-level caching (L1 in-memory, L2 Redis)

06Performance monitoring with built-in cache hit and miss metrics

사용 사례

01Implementing cost-efficient proof reuse for immutable verification results

02Building distributed proof generation systems with shared Redis storage

03Reducing latency in high-traffic ZK proof verification services

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add aaronbassett/midnight-knowledgebase proof-caching

For use in Claude.ai and ChatGPT

Download Skill