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/instructions/tests.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/tests)<a href="https://agentmods.dev/instructions/harleycoops/math-to-manim/tests"><img src="https://agentmods.dev/badge/instructions/harleycoops/math-to-manim/tests/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/tests"><img src="https://agentmods.dev/badge/instructions/harleycoops/math-to-manim/tests.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 | $0.03569 | $0.03569 |
| Opus 5.5 | $0.01428 | $0.01428 |
| Sonnet 5.5 | $0.00714 | $0.00714 |
| Haiku 4.5 | $0.00357 | $0.00357 |
Grade A, and why
Math-To-Manim tests.instructions.md scanned grade A 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
render_result = subprocess.run( How it starts
The opening of the file, as written. The whole thing — 603 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Testing Guidelines
Overview
The testing infrastructure ensures the reliability of the Math-To-Manim agent pipeline. Tests are organized into unit, integration, and end-to-end (e2e) categories.
Test Organization
tests/
├── unit/ # Test individual functions/methods in isolation
├── integration/ # Test agent interactions and pipeline segments
├── e2e/ # Test complete workflows from input to output
├── conftest.py # Shared fixtures and configuration
└── *.py # Top-level test files for main components
Testing Framework
Core Tools
- pytest: Primary testing framework
- pytest-asyncio: For testing async code
- pytest-cov: Code coverage reporting
- unittest.mock: Mocking API calls and external dependencies
Test Markers
Use pytest markers to categorize tests:
import pytest
@pytest.mark.unit
def test_foundation_detection():
"""Unit test - no external dependencies."""
pass
@pytest.mark.integration
def test_agent_pipeline():
"""Integration test - tests agent interactions."""
pass
@pytest.mark.live
def test_with_real_api():
"""Live test - requires API key and makes real API calls."""
pass
@pytest.mark.slow
def test_full_pipeline():
"""Slow test - takes > 10 seconds to run."""
pass
@pytest.mark.parametrize("concept,expected", [
("addition", True),
("quantum mechanics", False),
])
def test_multiple_cases(concept, expected):
"""Parameterized test - runs with multiple inputs."""
pass
Running Tests
# Run all tests
pytest tests/ -v
# Run specific category
pytest tests/unit/ -v
pytest tests/integration/ -v
# Skip expensive live tests
pytest tests/ -v -m "not live"
# Run with coverage
pytest tests/ --cov=src --cov-report=html
# Run specific test file
pytest tests/test_prerequisite_explorer.py -v
# Run specific test function
pytest tests/test_prerequisite_explorer.py::test_foundation_detection -v
# Run interactive test runner
python tests/live_test_runner.py
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 · 603 lines · 3,569 tokens per session scan A 0edc243368a7
Math-To-Manim tests.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 3,569 tokens to every session, about $0.0143 per session on Opus 5.5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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