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.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/harleycoops/math-to-manim/agents-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/agents-md)<a href="https://agentmods.dev/instructions/harleycoops/math-to-manim/agents-md"><img src="https://agentmods.dev/badge/instructions/harleycoops/math-to-manim/agents-md.svg" alt="Measured on agentmods" 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 | $0.01187 | $0.01187 |
| Opus 5 | $0.00593 | $0.00593 |
| Sonnet 5 | $0.00237 | $0.00237 |
| Haiku 4.5 | $0.00119 | $0.00119 |
Grade A, and why
Math-To-Manim AGENTS.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 6d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
math-to-manim serve-api & curl localhost:8642/health How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent guide
Guidance for AI agents (and humans) working in this repository.
What this repo is
Math-To-Manim contains provider-native silos. The established mythos/ product
remains the Anthropic-native six-agent chain driven by Claude Fable 5. The parallel
sol/ product remains a complete GPT-5.6 Sol-native film pipeline driven
only by the Codex CLI and its cached ChatGPT login. The grok/ product is
a complete Grok 4.6 film pipeline driven only by the xAI Responses API.
Do not route one provider through another provider's orchestration layer.
Layout
| Path | Role |
|---|---|
grok/ |
Independent Grok 4.6 silo: xAI Responses client, charters, harness, CLI, run ledger |
glm/ |
Independent GLM silo (GLM-only): Z.ai Coding Plan chat/completions client (glm-5.3-flash, thinking always on), charters, harness, CLI, run ledger. Do not import other silos from glm/ |
docs/GROK_4_6_SILO.md |
Grok architecture and deployment contract |
sol/ |
Independent GPT-5.6 Sol silo: Codex CLI driver, film contract, harness, validation, run ledger |
docs/SOL_5_6_SILO.md |
Sol architecture and deployment contract |
mythos/agents/*.md |
The six agent charters (single source of truth; mirror to .claude/agents/ for native Claude Code use) |
mythos/harness.py |
Chain runner: intent → cartographer → curriculum → math-director → cinematographer → scene-composer → codegen → verify → render → repair |
mythos/charter.py |
The Cinematic Charter + parsing utilities |
mythos/backends.py |
Model backends: Claude CLI (default), Codex CLI, OpenAI-compatible HTTP |
mythos/cinematography.py |
The visual grammar library scenes import |
mythos/service.py |
Job orchestration shared by all front doors |
mythos/api.py |
REST API (FastAPI) — math-to-manim serve-api |
mythos/mcp_server.py |
Operator entry for math-to-manim serve-mcp; tools run the Grok 4.6 chain |
mythos/cli.py |
The math-to-manim command |
examples/mythos/ |
Flagship hand-finished films (QFT, Sound of Spacetime) |
docs/showcase/ |
Curated GIF gallery — the art-direction target |
tests/ |
Offline test suite (no model calls, no render needed) |
archive/, legacy/ |
Retired code. Do not import from it; do not "fix" it. |
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.
- 6d ago First seen · 75 lines · 1,187 tokens per session scan A 308fcf79b783
Math-To-Manim AGENTS.md is an instructions file published in the GitHub repository HarleyCoops/Math-To-Manim (2,565 stars, last pushed 9d ago), licensed MIT. It adds 1,187 tokens to every session, about $0.0059 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.