report

Generate self-contained HTML reports from JSON research data with LaTeX math and 3D visualizations.

60|92|Updated Apr 30, 2026
One-click install
npx skills add https://github.com/QuantumBFS/quantum.harness --skill report-quantumbfs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: report
Source: https://github.com/QuantumBFS/quantum.harness/tree/main/skills/report
Command: npx skills add https://github.com/QuantumBFS/quantum.harness --skill report-quantumbfs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill solves the challenge of creating structured, self-contained, and visually consistent research reports from raw computational data without requiring external network dependencies or complex build pipelines.

Core Features & Use Cases

  • Self-Contained HTML: Produces a single offline-ready HTML file containing all CSS, base64-embedded figures, and MathML equations.
  • Interactive Visualization: Supports embedded 3D lattice and tensor-network views via the lattice3d block.
  • Use Case: After running a quantum simulation, use this Skill to compile the results, equations, and interactive lattice visualizations into a single, shareable report file that opens perfectly in any browser.

Quick Start

Use the report skill to render the results from the current run directory into a standalone html file.

Frequently Asked Questions about report

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

FAQPage Schema
How do I generate a self-contained HTML report from JSON-structured research data?

To generate a self-contained HTML report, you process JSON-structured research data using standard Python libraries, which outputs a single offline-ready HTML file with embedded base64 images and interactive 3D visualizations.

What is the best way to document quantum simulation results for offline review?

The best way to document quantum simulation results for offline review is to compile the computational outputs, LaTeX math, and interactive lattice visualizations into a single, shareable HTML file that opens perfectly in any browser.

Can I embed LaTeX math and 3D visualizations in a standalone HTML file?

Yes, you can embed LaTeX math and 3D visualizations in a standalone HTML file by processing JSON inputs that include MathML equations and lattice3d blocks, creating a portable document for offline review.

Does generating offline-ready HTML reports require external network dependencies or build pipelines?

Generating offline-ready HTML reports does not require external network dependencies or complex build pipelines, as the process relies on standard Python libraries to encode figures and embed all CSS directly into a single file.

How do I compile reproduction proposals and technical summaries into a single shareable file?

You can compile reproduction proposals and technical summaries by rendering results from your current run directory into a standalone HTML file, ensuring all equations and interactive visualizations are self-contained for sharing.

What are the limitations of using base64 image encoding for portable document delivery in HTML reports?

A limitation of using base64 image encoding for portable document delivery is that embedding all CSS, figures, and 3D visualizations into a single HTML file significantly increases the overall file size compared to externally linked assets.