verifiable-credentials-zk

Analyze cryptographic primitives for zero-knowledge verifiable credentials.

8|1|Updated Jun 7, 2026
One-click install
npx skills add https://github.com/sparq-org/sparq --skill verifiable-credentials-zk
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: verifiable-credentials-zk
Source: https://github.com/sparq-org/sparq/tree/main/.claude/skills/verifiable-credentials-zk
Command: npx skills add https://github.com/sparq-org/sparq --skill verifiable-credentials-zk

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps in selecting and understanding the cryptographic primitives for zero-knowledge verifiable credentials, guiding the trade-offs between different signature schemes, commitment schemes, and encoding methods.

Core Features & Use Cases

  • Signature Scheme Trade-offs: Analyze the trade-offs between BBS+, SD-JWT-VC, and EdDSA for selective disclosure and in-circuit verification cost.
  • Commitment Schemes: Evaluate Pedersen, Poseidon, Merkle trees, and KZG/IPA polynomial commitments for different use cases.
  • Encoding RDF Triples: Learn how RDF triples are encoded into field elements for circuit-friendly representations.
  • Public-input Contract: Understand the public-input contract between the credential layer and the Noir circuit.
  • Use Case: When designing a system that uses verifiable credentials and needs to choose the right cryptographic primitives for security and efficiency.

Quick Start

Run the skill to analyze the signature scheme trade-offs for a zero-knowledge verifiable credentials pipeline.

Frequently Asked Questions about verifiable-credentials-zk

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

FAQPage Schema
What are the trade-offs between BBS+, SD-JWT-VC, and EdDSA for zero-knowledge verifiable credentials?

For zero-knowledge verifiable credentials, BBS+, SD-JWT-VC, and EdDSA offer distinct trade-offs between selective disclosure capabilities and in-circuit verification costs, guiding the optimization of cryptographic primitives.

How do I choose a commitment scheme for a zero-knowledge proof circuit?

To choose a commitment scheme for a zero-knowledge proof circuit, evaluate Pedersen, Poseidon, Merkle trees, and KZG or IPA polynomial commitments against your specific use case requirements for security and efficiency.

How do RDF triples encode into field elements for circuit-friendly representations?

RDF triples encode into field elements for circuit-friendly representations by mapping semantic data structures into zero-knowledge proof compatible formats, ensuring the credential layer aligns with the public-input contract.

Does the Noir circuit public-input contract support zero-knowledge verifiable credentials?

The Noir circuit public-input contract supports zero-knowledge verifiable credentials by defining the interface between the credential layer and the circuit, ensuring proper cryptographic primitive verification.

When should I use KZG polynomial commitments instead of Merkle trees in zero-knowledge proofs?

Use KZG polynomial commitments instead of Merkle trees in zero-knowledge proofs when your verifiable credential system requires specific efficiency trade-offs and application scenarios outlined by commitment scheme analysis.