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reproduce-paper

Orchestrate quantum paper reproduction with method selection and run.json logging.

60|92|Updated Apr 30, 2026
Search Tags:#research#simulation#physics#reproducibility#harness#quantum
One-click install
npx skills add https://github.com/QuantumBFS/quantum.harness --skill reproduce-paper
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: reproduce-paper
Source: https://github.com/QuantumBFS/quantum.harness/tree/main/skills/reproduce-paper
Command: npx skills add https://github.com/QuantumBFS/quantum.harness --skill reproduce-paper

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill solves the challenge of reproducing complex quantum research results by providing a structured, step-by-step workflow that ensures scientific rigor, parameter transparency, and computational accuracy.

Core Features & Use Cases

  • Standardized Workflow: Manages the entire reproduction lifecycle from problem clarification and method selection to plan review and final reporting.
  • Parameter Transparency: Enforces a strict, documented approach to configuration, ensuring every variable that could cause result drift is tracked and justified.
  • Automated Reporting: Generates self-contained, interactive HTML reports that compare paper-stated targets with actual computational results side-by-side.

Quick Start

Use the reproduce-paper skill to guide me through reproducing the figures in arXiv:1711.03528.

Frequently Asked Questions about reproduce-paper

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I reproduce quantum research paper results in a simulation harness?▼

To reproduce quantum research results, this skill orchestrates an end-to-end workflow within the quantum harness, coordinating method selection, parameter configuration, and computational execution to verify physical models and numerical methods.

What is the best way to ensure parameter transparency when reproducing quantum simulations?▼

Ensuring parameter transparency for quantum simulations requires a strict workflow that tracks and justifies every configuration variable in a run.json file, preventing result drift and maintaining scientific rigor.

Can I generate an automated report comparing paper-stated targets with actual quantum simulation results?▼

Yes, you can generate automated reports by executing the build_report.py script, which creates self-contained, interactive HTML files comparing paper-stated targets with actual computational results side-by-side.

What steps are involved in the quantum paper reproduction lifecycle?▼

The quantum paper reproduction lifecycle involves problem clarification, method selection, parameter configuration, plan review, computational execution, data logging in run.json, and final report generation.

Do I need to follow a specific workflow to verify physical models and numerical methods?▼

Yes, verifying physical models and numerical methods requires strict adherence to the defined workflow for planning, data logging in run.json, and report generation via build_report.py to ensure computational accuracy.

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