Math-To-Manim: Instructions file for GitHub Copilot

legacy/Math-To-Manim/.github/instructions/examples.instructions.md

Math-To-Manim examples.instructions.md is an instructions file for GitHub Copilot from HarleyCoops/Math-To-Manim. It costs 1,784 tokens per session, scanned A, original, MIT.

Instructions for creating and changing Manim animation examples. Manim is a Python tool for producing mathematical and technical animations.

In plain words
What is it for?
Use them when adding or editing animations for physics, mathematics, computer science, cosmology, finance, or miscellaneous topics.
Why use it?
They keep a large collection of examples organized, named consistently, and useful as runnable references.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is HarleyCoops/Math-To-Manim's own configuration. It tells GitHub Copilot how to work on Math-To-Manim itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Math-To-Manim configures →

About the project

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.

HarleyCoops/Math-To-Manim · 2,804 stars · on GitHub

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/HarleyCoops/Math-To-Manim/main/legacy/Math-To-Manim/.github/instructions/examples.instructions.md
Clone the repo
git clone --depth 1 https://github.com/HarleyCoops/Math-To-Manim

Made for: GitHub Copilot.

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Per session 1,784 This file is loaded in full into every session.
When invoked 1,784 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01784 $0.01784
Opus 5.5 $0.00714 $0.00714
Sonnet 5.5 $0.00357 $0.00357
Haiku 4.5 $0.00178 $0.00178

Measured 1mo ago against content hash 87d953d5db20, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Math-To-Manim examples.instructions.md scanned grade A with 0 findings 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

legacy/Math-To-Manim/.github/instructions/examples.instructions.md · 223 lines

How it starts

The opening of the file, as written. The whole thing — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Animation Examples Guidelines

Purpose

This directory contains 55+ working Manim animations demonstrating various mathematical, physical, and computational concepts. Each animation serves as both a working example and educational reference.

Creating New Animation Examples

File Organization

  • Place animations in the appropriate category directory:
    • examples/physics/ - Physics concepts (quantum, gravity, nuclear, particle physics)
    • examples/mathematics/ - Math concepts (geometry, analysis, fractals, statistics)
    • examples/computer_science/ - CS concepts (ML, algorithms, spatial reasoning)
    • examples/cosmology/ - Cosmology and astrophysics
    • examples/finance/ - Financial mathematics
    • examples/misc/ - Experimental or uncategorized

Naming Conventions

  • Use descriptive, lowercase names with underscores: schrodinger_equation.py, not scene1.py
  • Name should clearly indicate the concept being visualized
  • Scene class name should be descriptive and in PascalCase: SchrodingerEquationScene

Required Components

  1. Module Docstring: Every animation file must start with a comprehensive docstring:
"""
Visualization of the Schrödinger equation in quantum mechanics.

Shows:
- Wave function evolution
- Probability density interpretation
- Energy eigenstates
- Potential well scenarios

Mathematical Concepts:
- Time-independent Schrödinger equation: Hψ = Eψ
- Time-dependent form: iℏ ∂ψ/∂t = Hψ
- Wave function normalization
- Expectation values

Generated using: Claude Sonnet 4.5 / DeepSeek R1 / etc.
"""
  1. Import Organization:
from manim import *
import numpy as np
# Other standard library imports
# Then project-specific imports if needed
  1. Scene Class with Docstring:
class SchrodingerEquationScene(Scene):
    """
    Main scene for Schrödinger equation visualization.
    
    Demonstrates wave function evolution in a potential well.
    """
    def construct(self):
        # Implementation

Read the full file on GitHub · 223 lines

Changes

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.

  1. 1mo ago First seen · 223 lines · 1,784 tokens per session scan A 87d953d5db20

Subscribe to this mod's changes

Math-To-Manim examples.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 1,784 tokens to every session, about $0.0071 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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