Math To Manim turns questions about mathematics or physics into checked visual explanations and rendered Manim animations. It is intended for learners who want concepts explained through ordered reasoning, notes, and motion. Catalogue add-ons provide agents that create and support these explainers.
Borrowing it
Nothing to install: this file belongs to HarleyCoops/Math-To-Manim. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/HarleyCoops/Math-To-Manim/main/legacy/Math-To-Manim/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/HarleyCoops/Math-To-ManimWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/harleycoops/math-to-manim/copilot-instructions)<a href="https://agentmods.dev/instructions/harleycoops/math-to-manim/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/harleycoops/math-to-manim/copilot-instructions/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/harleycoops/math-to-manim/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/harleycoops/math-to-manim/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.02399 | $0.02399 |
| Opus 5.5 | $0.00960 | $0.00960 |
| Sonnet 5.5 | $0.00480 | $0.00480 |
| Haiku 4.5 | $0.00240 | $0.00240 |
Grade B, and why
Math-To-Manim copilot-instructions.md scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
# Linux: sudo apt-get install ffmpeg How it starts
The opening of the file, as written. The whole thing — 286 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Copilot Instructions for Math-To-Manim
Project Overview
Math-To-Manim is an AI-powered system that generates mathematical animations using Manim Community Edition. The project uses Claude AI agents to build knowledge trees and create verbose, LaTeX-rich prompts that generate high-quality educational animations.
Core Innovation: Reverse Knowledge Tree - recursively discovers prerequisites before generating animations, ensuring conceptual understanding builds from foundation to advanced topics.
Key Technologies
- Python: 3.10+
- Manim Community: v0.19.0 (mathematical animation engine)
- Claude AI: Anthropic's Claude Sonnet 4.5 via Anthropic SDK and Claude Agent SDK
- FFmpeg: Required for video rendering
- Gradio: Web interface for the agent pipeline
- pytest: Testing framework
Development Setup
Installation
# Install dependencies
pip install -r requirements.txt
# Set up API keys in .env file
echo "ANTHROPIC_API_KEY=your_key_here" >> .env
echo "MOONSHOT_API_KEY=your_key_here" >> .env # Optional, for Kimi K2
# Install FFmpeg (required for Manim)
# Windows: choco install ffmpeg
# Linux: sudo apt-get install ffmpeg
# macOS: brew install ffmpeg
Running the Application
# Launch the Gradio web interface
python src/app_claude.py
# Run a specific animation example
manim -pql examples/physics/quantum/QED.py QEDJourney
Testing
# Run all tests with pytest
pytest tests/ -v
# Run tests without live API calls (fast, no cost)
pytest tests/ -v -m "not live"
# Run the interactive test runner
python tests/live_test_runner.py
# Test a specific concept
python tests/live_test_runner.py --concept "quantum mechanics"
Building and Linting
# Run Python linter (if black is configured)
black src/ tests/
# Check code style
flake8 src/ tests/ # If configured
# Run type checking (if mypy is configured)
mypy src/ # If configured
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 286 lines · 2,399 tokens per session scan B f16bfbc10f01
Math-To-Manim copilot-instructions.md is an instructions file published in the GitHub repository HarleyCoops/Math-To-Manim (2,804 stars, last pushed 2d ago), licensed MIT. It adds 2,399 tokens to every session, about $0.0096 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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