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
Ready-to-paste message
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-authenticationOr 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.mdTechnical 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
- Setup: Public generator g, prime p, q (order of g)
- Registration: Prover computes y = g^x mod p (public key from secret x)
- Commitment: Prover sends t = g^r mod p (random r)
- Challenge: Verifier sends random c
- Response: Prover sends s = r + c*x mod q
- 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
Popularity
- GitHub stars
- 35k
- Ranking position
- #5977
- License
- Apache-2.0
- Updated
- 8/31/2026
Comments
- …
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