Explain SD-JWT concepts, disclosures, and selective data presentation.
npx skills add https://github.com/sourcelabbg/eudi-knowledge --skill sd-jwt-intro
Please help me install this Agent Skill. Skill: sd-jwt-intro Source: https://github.com/sourcelabbg/eudi-knowledge/tree/main/.ai/skills/sd-jwt-intro Command: npx skills add https://github.com/sourcelabbg/eudi-knowledge --skill sd-jwt-intro
This Skill helps users understand the fundamental concepts, use cases, and terminology associated with Selective Disclosure JWTs (SD-JWTs), a privacy-preserving method for sharing specific data from a larger set of claims.
Explain the core concepts of SD-JWT.
High-intent search queries and answers about installing and using this skill.
Selective Disclosure JWT (SD-JWT) is a cryptographic method that protects digital identity privacy by allowing a holder to share specific claims from a larger credential without disclosing the entire dataset.
Standard JWTs require sharing all embedded claims with a verifier, whereas SD-JWTs separate the core token from individual disclosures, enabling selective data presentation for enhanced privacy.
Key binding in SD-JWT binds the presented credential to a specific holder's cryptographic key, ensuring that only the legitimate owner can prove ownership and preventing replay attacks by malicious actors.
You should use selective disclosure when a digital identity verification process requires proving a specific attribute, such as age, without exposing sensitive personal details like a full birthdate or address.
In SD-JWT, the issuer creates and signs the credential, the holder stores the token and selectively presents disclosures, and the verifier validates the specific claims presented by the holder.
sourcelabbgExplain SD-JWT and SD-JWT+KB data formats with disclosures and key binding.
sourcelabbgDemonstrate SD-JWT issuance and presentation flows with selective disclosure and key binding.
microsoftManage cryptographic keys in Azure using the Key Vault Keys SDK for JavaScript.
mitchuskiManage selective disclosure and Privacy Pool mechanics with Zero-Knowledge Proofs.
