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Misc35k · #5977

implementing-zero-knowledge-proof-for-authentication

Enables your agent to implement secure authentication that doesn't reveal user secrets to the server.

What it does

This tool lets you prove you know a password or secret without actually showing it. It's like using a secret key to prove who you are, without ever handing over the key.

When to use it

  • ✓When creating login systems that don't use passwords.
  • ✓When a server needs to confirm your identity without knowing your secret.
  • ✓When building more advanced security systems.

Example of what to ask your AI

“I want to log in using zero-knowledge proof.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/mukul975/Anthropic-Cybersecurity-Skills/blob/main/skills/implementing-zero-knowledge-proof-for-authentication/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/mukul975/Anthropic-Cybersecurity-Skills/blob/main/skills/implementing-zero-knowledge-proof-for-authentication/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

You provide a secret (like a password) that the tool uses to create a proof. This proof is sent to the server, which verifies it without ever seeing your original secret.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-zero-knowledge-proof-for-authentication

Or download just the file:

curl -L https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/main/skills/implementing-zero-knowledge-proof-for-authentication/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Implementing Zero-Knowledge Proof for Authentication

Overview

Zero-Knowledge Proofs (ZKPs) allow a prover to demonstrate knowledge of a secret (such as a password or private key) without revealing the secret itself. This skill implements the Schnorr identification protocol and a simplified ZKPP (Zero-Knowledge Password Proof) using the discrete logarithm problem, enabling authentication where the server never learns the user's password.

When to Use

  • When deploying or configuring implementing zero knowledge proof for authentication capabilities in your environment
  • When establishing security controls aligned to compliance requirements
  • When building or improving security architecture for this domain
  • When conducting security assessments that require this implementation

Prerequisites

  • Familiarity with cryptography concepts and tools
  • Access to a test or lab environment for safe execution
  • Python 3.8+ with required dependencies installed
  • Appropriate authorization for any testing activities

Objectives

  • Implement Schnorr's identification protocol for ZKP authentication
  • Build a non-interactive ZKP using Fiat-Shamir heuristic
  • Implement zero-knowledge password proof (ZKPP)
  • Demonstrate completeness, soundness, and zero-knowledge properties
  • Compare ZKP authentication with traditional password verification

Key Concepts

ZKP Properties

Property Description
Completeness Honest prover always convinces honest verifier
Soundness Dishonest prover cannot convince verifier (except negligible probability)
Zero-Knowledge Verifier learns nothing beyond the statement's truth

Schnorr Protocol

  1. Setup: Public generator g, prime p, q (order of g)
  2. Registration: Prover computes y = g^x mod p (public key from secret x)
  3. Commitment: Prover sends t = g^r mod p (random r)
  4. Challenge: Verifier sends random c
  5. Response: Prover sends s = r + c*x mod q
  6. Verify: Check g^s == t * y^c mod p

Security Considerations

  • Use cryptographically secure random number generators
  • Challenge must be unpredictable (from verifier's perspective)
  • For non-interactive proofs, use Fiat-Shamir with collision-resistant hash
  • ZKP alone does not provide forward secrecy; combine with TLS

Validation Criteria

  • Honest prover always verifies successfully (completeness)
  • Random response without secret does not verify (soundness)
  • Server never receives the secret value
  • Non-interactive proof is verifiable offline
  • Multiple authentications produce different transcripts
  • Protocol resists replay attacks
FAQ

What is a Zero-Knowledge Proof?

It's a way to prove you know something (like a password) without revealing that information to the verifier.

What are the advantages?

The main advantage is security: your secret is never exposed, even if the server is breached.

Do I need advanced knowledge to use it?

The tool simplifies the process, but a basic understanding of cryptography helps in understanding how it works.

Details

Original description by the author

Implements the Schnorr identification protocol and a simplified Zero-Knowledge Password Proof (ZKPP) over the discrete logarithm problem, letting a prover authenticate by demonstrating knowledge of a secret without ever revealing it to the server. Use when designing or building password-less or password-secret-free authentication, or when a server must verify a user's credential without learning o

repo: mukul975/Anthropic-Cybersecurity-Skills

Popularity

GitHub stars
35k
Ranking position
#5977
License
Apache-2.0
Updated
8/31/2026

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