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.