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/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/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/agents-md"><img src="https://agentmods.dev/badge/instructions/harleycoops/math-to-manim/agents-md.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 | $0.00842 | $0.00842 |
| Opus 5.5 | $0.00337 | $0.00337 |
| Sonnet 5.5 | $0.00168 | $0.00168 |
| Haiku 4.5 | $0.00084 | $0.00084 |
Grade A, and why
Math-To-Manim AGENTS.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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent guide
Math-To-Manim's primary product is the Astra-native Codex SDK chain in astra/.
The user's September 24, 2026 direction supersedes the former multi-provider
homepage and requirement to preserve its featured GIF block. Keep the star
chart and older showcase files; feature new verified films on the homepage from
any pipeline (Astra, Mythos or another provider). The user corrected this on
September 25, 2026: the homepage is not limited to Astra films.
Architecture
astra/cli.py: primarymath-to-manim,m2m,math-to-manim-astracommands.astra/pipeline.py: brief -> mathematics -> storyboard -> scene -> render, with advisory Jev reviews by default; strict gates are explicitly opt-in.astra/bridge.mjs: official Codex SDK, GPT-6 Astra, cached ChatGPT login.astra/prompts.py: specialist and evaluator charters.astra/rendering.py: static source checks, local Manim and frame extraction.docs/JEV.md,docs/ASTRA_PIPELINE.md: evaluation and architecture contracts.mythos/,sol/,grok/,glm/,mimo/: compatibility pipelines, accessed by explicit provider commands; do not route Astra through their orchestration.scripts/operate_mythos_chain.py: runs the Mythos chain with a session as the model backend; the harness validates every reply (seedocs/showcase/every-orbit-great-circle/).
Working rules
- Use Codex login, never an API-key fallback, for the Astra chain. Remove API credentials from model and renderer child environments; never print secrets.
- Authors and evidence auditors use
gpt-6-astra. Real TypeSafe Jev usesjev-1.13.0through typesafe-sdk with TYPESAFE_API_KEY. Never substitute Astra for Jev or claim that Jev sees images; it receives text observations. - Keep failed attempts, review feedback and actual render evidence in
runs/astra/. Do not claim success without a completed manifest and MP4. - Use
move_cameraandset_camera_orientationfor ThreeDScene cameras. - Jev approval is scoped to evidence. Stills do not prove continuous motion.
- The user's later instruction removes Jev blockers to control costs. Default reviews are advisory, without Jev-triggered retries or investigations. Use render-existing for saved scenes with zero model calls. Preserve old verdicts and label such output not_reviewed, never Jev-approved. Gated mode is opt-in.
- Local Manim execution is not an OS/container sandbox. Do not describe static source screening as a complete security boundary.
- Test offline with
python -m pytest. Live model/render runs need explicit task authorization; the current full-film request provides it. - Do not modify
archive/orlegacy/. Preserve other providers' implementation boundaries and their existing explicit commands.
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.
- 7d ago Changed · +8 lines · +130 tokens per session 1860116814ee
- 29d ago Changed · +5 lines · +84 tokens per session f411e484870f
- 1mo ago Changed · -28 lines · -657 tokens per session 2526bd301ae0
- 1mo ago Changed · +4 lines · +98 tokens per session 56336a0fb898
- 1mo 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 (2,804 stars, last pushed 2d ago), licensed MIT. It adds 842 tokens to every session, about $0.0034 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.
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.