wycheproof

Google's Wycheproof test vectors for cryptographic implementation testing.

16 stars

Best use case

wycheproof is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Google's Wycheproof test vectors for cryptographic implementation testing.

Teams using wycheproof should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/wycheproof/SKILL.md --create-dirs "https://raw.githubusercontent.com/plurigrid/asi/main/plugins/asi/skills/wycheproof/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/wycheproof/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How wycheproof Compares

Feature / AgentwycheproofStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Google's Wycheproof test vectors for cryptographic implementation testing.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Wycheproof Skill

**Trit**: -1 (MINUS)
**Category**: testing-handbook-skills
**Author**: Trail of Bits
**Source**: trailofbits/skills
**License**: AGPL-3.0

## Description

Google's Wycheproof test vectors for cryptographic implementation testing.

## When to Use

This is a Trail of Bits security skill. Refer to the original repository for detailed usage guidelines and examples.

See: https://github.com/trailofbits/skills

## Related Skills

- audit-context-building
- codeql
- semgrep
- variant-analysis