New: 97,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Implementing Zero Knowledge Proof For Authentication

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

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…

Apache-2.0Auto-check passedSecurity

Install Implementing Zero Knowledge Proof For Authentication

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-zero-knowledge-proof-for-authentication -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-zero-knowledge-proof-for-authentication --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/implementing-zero-knowledge-proof-for-authentication .claude/skills/implementing-zero-knowledge-proof-for-authentication && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
implementing-zero-knowledge-proof-for-authentication
GitHub stars
34k
Token cost
~858 tokens
SKILL.md length
321 words
Files
6 (incl. scripts, references)
Skills in repo
639
Repo updated
First seen
Licence
Apache-2.0

At a glance

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…

  • Works in 6 steps: Setup: Public generator g, prime p, q… → Registration: Prover computes y = g^x… → Commitment: Prover sends t = g^r mod p… → …
  • Building password-less
  • SKILL.md covers Overview, When to Use, Prerequisites and Objectives, plus 3 more sections
  • Runs Python scripts from its folder

What it does

Implementing Zero Knowledge Proof For Authentication is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. 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 or storing the underlying secret.

Its SKILL.md is about 860 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `references/api-reference.md`, `references/standards.md` and `references/workflows.md`).

It sits in Security, covering Cryptography and Authentication. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.

When your agent uses it

  • Building password-less
  • Password-secret-free authentication
  • A server must verify a users credential without learning
  • Storing the underlying secret

Example prompts

  • “Use the implementing-zero-knowledge-proof-for-authentication skill to implement the Schnorr identification protocol and a simplified Zero-Knowledge…”
  • “/implementing-zero-knowledge-proof-for-authentication”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  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

What it can do on your machine

Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Implementing Zero Knowledge Proof For Authentication loads about 858 tokens when it runs, and up to ~1.8k if it reads all its reference files. Until then it costs about 121 tokens; SKILL.md has 321 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~121
When it runs · the whole SKILL.md, loaded when a task matches
~858
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 321 words, ~858 tokens.

Download SKILL.mdSave it as .claude/skills/implementing-zero-knowledge-proof-for-authentication/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
implementing-zero-knowledge-proof-for-authentication
description
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 or storing the underlying secret.
domain
cybersecurity
subdomain
cryptography
tags
cryptography, zero-knowledge-proof, authentication, privacy, zkp
version
1.0
author
mahipal
license
Apache-2.0
nist_csf
PR.DS-01, PR.DS-02, PR.DS-10
mitre_attack
T1600, T1573, T1553

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
PropertyDescription
CompletenessHonest prover always convinces honest verifier
SoundnessDishonest prover cannot convince verifier (except negligible probability)
Zero-KnowledgeVerifier 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

© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (scripts, references) in skills/implementing-zero-knowledge-proof-for-authentication of mukul975/Anthropic-Cybersecurity-Skills.

  • SKILL.md
  • LICENSE
  • references/api-reference.md
  • references/standards.md
  • references/workflows.md
  • scripts/agent.py

Open the folder on GitHubat commit 54a7988

Compare with similar skills

Implementing Zero Knowledge Proof For Authentication next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Implementing Zero Knowledge Proof For Authentication compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Implementing Zero Knowledge Proof For Authentication this skillmukul975/Anthropic-Cybersecurity-Skills34k—~858Automated safety check: PassApache-2.0
Reviewing Cryptographytrilwu/secskills156—~2.7kAutomated safety check: PassMIT
Security Review Specwarpdotdev/oz-for-oss3131 repos~2.6kAutomated safety check: PassMIT
Security Patch AdvisorArabelaTso/Skills-4-SE253—~3.5kAutomated safety check: PassApache-2.0
Add Eap Methodtalkincode/toughradius691—~802Automated safety check: PassMIT
Security ProtocolNoobyGains/godmode107—~2.4kAutomated safety check: NotesMIT

Similar skills

  • Reviewing Cryptography

    trilwu/secskills

    Review cryptographic implementations and protocol usage for misuse — weak primitives, nonce and IV handling, key management, authentication of ciphertext, randomness, timing side channels, TLS and…

    156 GitHub stars~2.7k tokensUpdated 1 mo ago
    SecurityAuto-check passed

  • Security Review Spec

    warpdotdev/oz-for-oss

    Audit a product or tech spec pull request diff for high-level security concerns (threat surface, authentication and authorization model, trust boundaries, sensitive data handling, secrets and key…

    313 GitHub starsUsed in 1 repo~2.6k tokens
    SecurityAuto-check passed

  • Security Patch Advisor

    ArabelaTso/Skills-4-SE

    Proposes secure remediation strategies for detected security vulnerabilities including buffer overflows, injection risks, insecure deserialization, improper authentication, and unsafe cryptographic…

    253 GitHub stars~3.5k tokensUpdated 1 mo ago
    SecurityAuto-check passed

  • Add Eap Method

    talkincode/toughradius

    Add an EAP authentication method (e.g. An agent skill from talkincode/toughradius.

    691 GitHub stars~802 tokensUpdated 4 days ago
    Frontend & DesignAuto-check passed

  • Security Protocol

    NoobyGains/godmode

    A skill your agent uses when writing code that processes user input, manages authentication or authorization, constructs database queries, handles file operations, interacts with external data…

    107 GitHub stars~2.4k tokensUpdated 7 mo ago
    Backend & APIsAuto-check: notes

  • Static Vulnerability Detector

    ArabelaTso/Skills-4-SE

    Statically analyze code to detect security vulnerabilities including buffer overflows, injection risks (SQL, command, XSS), insecure deserialization, improper authentication, hard-coded credentials…

    253 GitHub stars~2k tokensUpdated 1 mo ago
    SecurityAuto-check passed

More from mukul975/Anthropic-Cybersecurity-Skills

All 639 skills in this repo

  • Campaign Attribution Evidence Analysis

    mukul975/Anthropic-Cybersecurity-Skills

    Weighs infrastructure, TTP, malware code and timing evidence with the Diamond Model and competing hypotheses to reach a confidence-rated attribution.

    34k GitHub stars~2.3k tokensUpdated 1 mo ago
    Auto-check passed

  • Go Malware Analysis in Ghidra

    mukul975/Anthropic-Cybersecurity-Skills

    Walks through reverse engineering Go-compiled malware in Ghidra: parsing buildinfo and pclntab, recovering stripped function names and extracting dependencies.

    34k GitHub stars~2.8k tokensUpdated 1 mo ago
    Auto-check passed

  • LNK and Jump List Forensics

    mukul975/Anthropic-Cybersecurity-Skills

    Guides forensic analysis of Windows LNK shortcut files and Jump Lists with LECmd, JLECmd and manual parsing to show file access and program execution.

    34k GitHub stars~2.8k tokensUpdated 1 mo ago
    Auto-check passed

  • Malware Persistence Analysis with Autoruns

    mukul975/Anthropic-Cybersecurity-Skills

    Hunts Windows malware persistence with Sysinternals Autoruns, covering run keys, services, scheduled tasks and drivers, with baseline comparison.

    34k GitHub stars~1.2k tokensUpdated 1 mo ago
    Auto-check passed

  • NTFS MFT Deleted File Recovery

    mukul975/Anthropic-Cybersecurity-Skills

    Guides a Windows forensic examination of the NTFS Master File Table to recover deleted-file evidence, build timelines and spot timestomping.

    34k GitHub stars~2.7k tokensUpdated 1 mo ago
    Auto-check passed

  • Network Covert Channel Analysis

    mukul975/Anthropic-Cybersecurity-Skills

    Detects DNS tunneling, ICMP exfiltration and HTTP-based covert channels in packet captures and DNS logs when hunting for hidden command-and-control traffic.

    34k GitHub stars~2k tokensUpdated 1 mo ago
    Auto-check passed

Categories

Questions about Implementing Zero Knowledge Proof For Authentication

What does Implementing Zero Knowledge Proof For Authentication do?

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…. Implementing Zero Knowledge Proof For Authentication is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. 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.

When should I use Implementing Zero Knowledge Proof For Authentication?

Implementing Zero Knowledge Proof For Authentication fits situations like: building password-less; password-secret-free authentication; A server must verify a users credential without learning; storing the underlying secret.

How do I install Implementing Zero Knowledge Proof For Authentication in Claude Code?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-zero-knowledge-proof-for-authentication -a claude-code`. Or copy the skill folder (skills/implementing-zero-knowledge-proof-for-authentication in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/implementing-zero-knowledge-proof-for-authentication in your project. Claude Code loads it when a task matches its description.

How do I install Implementing Zero Knowledge Proof For Authentication in Codex?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-zero-knowledge-proof-for-authentication -a codex`. Or copy the skill folder (skills/implementing-zero-knowledge-proof-for-authentication in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/implementing-zero-knowledge-proof-for-authentication in your project. Codex loads it when a task matches its description.

Can I use Implementing Zero Knowledge Proof For Authentication in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-zero-knowledge-proof-for-authentication -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/implementing-zero-knowledge-proof-for-authentication, .gemini/skills/implementing-zero-knowledge-proof-for-authentication, .github/skills/implementing-zero-knowledge-proof-for-authentication and .opencode/skills/implementing-zero-knowledge-proof-for-authentication in your project.

What does Implementing Zero Knowledge Proof For Authentication need to run?

Going by SKILL.md and its folder, Implementing Zero Knowledge Proof For Authentication needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Implementing Zero Knowledge Proof For Authentication access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Implementing Zero Knowledge Proof For Authentication safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Implementing Zero Knowledge Proof For Authentication use?

Implementing Zero Knowledge Proof For Authentication is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Implementing Zero Knowledge Proof For Authentication use?

About 858 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 988 tokens, read only when the agent opens those files.

What are the alternatives to Implementing Zero Knowledge Proof For Authentication?

Skills that share tags, products or a category with Implementing Zero Knowledge Proof For Authentication: Reviewing Cryptography (trilwu/secskills, 156 stars), Security Review Spec (warpdotdev/oz-for-oss, 313 stars), Security Patch Advisor (ArabelaTso/Skills-4-SE, 253 stars) and Add Eap Method (talkincode/toughradius, 691 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Implementing Zero Knowledge Proof For Authentication?

mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 33,870 GitHub stars. The repository holds 639 skills in this directory. The repository was last updated on August 31, 2026.

Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.