PQC Evaluator

SkillCommerce & finance

Post-quantum cryptography evaluation skill for quantum-safe migration

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the PQC Evaluator skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/quantum-computing/skills/pqc-evaluator/SKILL.md and read by ahel’s review.

Purpose

Provides expert guidance on evaluating post-quantum cryptographic algorithms and planning quantum-safe migration strategies.

Capabilities

NIST PQC standard implementation checks
Lattice-based algorithm analysis
Code-based cryptography evaluation
Hash-based signature verification
Hybrid classical-PQC schemes
Migration impact assessment
Performance benchmarking
Key size analysis

Usage Guidelines

Inventory Assessment: Catalog current cryptographic usage
Algorithm Selection: Choose appropriate PQC algorithms for use cases
Implementation Review: Verify correct implementation of PQC schemes
Performance Testing: Benchmark PQC against classical algorithms
Migration Planning: Develop phased migration strategy

Tools/Libraries

liboqs
PQClean
OpenSSL (with PQC support)
Bouncy Castle
SUPERCOP

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: pqc-evaluator
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter