qrng-generator
Quantum random number generation skill for cryptographic applications
Best use case
qrng-generator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Quantum random number generation skill for cryptographic applications
Teams using qrng-generator 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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/qrng-generator/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How qrng-generator Compares
| Feature / Agent | qrng-generator | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Quantum random number generation skill for cryptographic applications
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
# QRNG Generator ## Purpose Provides expert guidance on generating true random numbers using quantum processes for cryptographic and security applications. ## Capabilities - Hadamard-based randomness generation - Randomness extraction and post-processing - NIST SP 800-90B compliance testing - Entropy rate estimation - Min-entropy analysis - Integration with cryptographic APIs - Bias correction - Real-time QRNG streaming ## Usage Guidelines 1. **Circuit Design**: Build quantum circuits for randomness generation 2. **Execution**: Run on quantum hardware for true randomness 3. **Testing**: Verify randomness quality with statistical tests 4. **Post-Processing**: Apply extractors to remove bias 5. **Integration**: Connect QRNG output to cryptographic systems ## Tools/Libraries - Qiskit - NIST Statistical Test Suite - dieharder - TestU01 - PractRand
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