implementing-digital-signatures-with-ed25519

mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/implementing-digital-signatures-with-ed25519
0 commentsdiscussion
summary

Ed25519 is a high-performance digital signature algorithm using the Edwards curve Curve25519. It provides 128-bit security with 64-byte signatures and 32-byte keys, offering significant advantages ove

skill.md
name
implementing-digital-signatures-with-ed25519
description
Ed25519 is a high-performance digital signature algorithm using the Edwards curve Curve25519. It provides 128-bit security with 64-byte signatures and 32-byte keys, offering significant advantages ove
domain
cybersecurity
subdomain
cryptography
tags
- cryptography - digital-signatures - ed25519 - authentication - integrity
version
'1.0'
author
mahipal
license
Apache-2.0
nist_csf
- PR.DS-01 - PR.DS-02 - PR.DS-10

Implementing Digital Signatures with Ed25519

Overview

Ed25519 is a high-performance digital signature algorithm using the Edwards curve Curve25519. It provides 128-bit security with 64-byte signatures and 32-byte keys, offering significant advantages over RSA and ECDSA including deterministic signatures (no random nonce needed), resistance to side-channel attacks, and fast verification. This skill covers implementing Ed25519 for document signing, code signing, and API authentication.

When to Use

  • When deploying or configuring implementing digital signatures with ed25519 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

  • Generate Ed25519 key pairs for signing
  • Sign messages and files with Ed25519
  • Verify signatures against public keys
  • Implement multi-signature verification
  • Build a simple code signing system
  • Compare Ed25519 performance with RSA and ECDSA

Key Concepts

Ed25519 vs RSA vs ECDSA

PropertyEd25519RSA-3072ECDSA P-256
Security128-bit128-bit128-bit
Public key size32 bytes384 bytes64 bytes
Signature size64 bytes384 bytes64 bytes
Key generation~50 us~100 ms~1 ms
Sign~70 us~5 ms~200 us
Verify~200 us~200 us~500 us
DeterministicYesNo (PSS)No (unless RFC 6979)

Key Properties

  • Deterministic: Same message + key always produces same signature
  • Collision-resistant: No separate hash function needed
  • Side-channel resistant: Constant-time implementation
  • Small keys: 32 bytes each (public and private)

Security Considerations

  • Ed25519 does not support key recovery from signatures
  • Verify the full message, not a hash (Ed25519 hashes internally)
  • Public keys must be validated before use (check for low-order points)
  • Private keys should be stored encrypted at rest
  • Ed25519 is not yet approved for all NIST use cases (Ed448 is preferred for federal)

Validation Criteria

  • Key pair generation produces valid Ed25519 keys
  • Signature verification succeeds for valid message
  • Signature verification fails for tampered message
  • Signature verification fails for wrong public key
  • Deterministic: same input produces same signature
  • File signing and verification works correctly
  • Performance meets or exceeds RSA-3072
how to use implementing-digital-signatures-with-ed25519

How to use implementing-digital-signatures-with-ed25519 on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add implementing-digital-signatures-with-ed25519
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/implementing-digital-signatures-with-ed25519

The skills CLI fetches implementing-digital-signatures-with-ed25519 from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/implementing-digital-signatures-with-ed25519

Reload or restart Cursor to activate implementing-digital-signatures-with-ed25519. Access the skill through slash commands (e.g., /implementing-digital-signatures-with-ed25519) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.670 reviews
  • Min Dixit· Dec 28, 2024

    Registry listing for implementing-digital-signatures-with-ed25519 matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Xiao Nasser· Dec 24, 2024

    Solid pick for teams standardizing on skills: implementing-digital-signatures-with-ed25519 is focused, and the summary matches what you get after install.

  • Shikha Mishra· Dec 20, 2024

    implementing-digital-signatures-with-ed25519 reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Mia Ramirez· Dec 20, 2024

    I recommend implementing-digital-signatures-with-ed25519 for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Sakura Abbas· Dec 4, 2024

    Useful defaults in implementing-digital-signatures-with-ed25519 — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Diya Zhang· Nov 27, 2024

    implementing-digital-signatures-with-ed25519 is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Diya Malhotra· Nov 23, 2024

    Registry listing for implementing-digital-signatures-with-ed25519 matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sakura Mensah· Nov 19, 2024

    Useful defaults in implementing-digital-signatures-with-ed25519 — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Rahul Santra· Nov 11, 2024

    I recommend implementing-digital-signatures-with-ed25519 for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Soo Huang· Nov 11, 2024

    implementing-digital-signatures-with-ed25519 reduced setup friction for our internal harness; good balance of opinion and flexibility.

showing 1-10 of 70

1 / 7