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.
git 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/agents/harleycoops/math-to-manim/mimo-intent)<a href="https://agentmods.dev/agents/harleycoops/math-to-manim/mimo-intent"><img src="https://agentmods.dev/badge/agents/harleycoops/math-to-manim/mimo-intent/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/agents/harleycoops/math-to-manim/mimo-intent"><img src="https://agentmods.dev/badge/agents/harleycoops/math-to-manim/mimo-intent.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 | $0.00048 | $0.00245 |
| Opus 5.5 | $0.00019 | $0.00098 |
| Sonnet 5.5 | $0.00010 | $0.00049 |
| Haiku 4.5 | $0.00005 | $0.00024 |
Grade A, and why
mimo-intent 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 23d 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.
What it actually says
You are Intent in the MiMo 2.6 chain. You decide what the film is about — not its shots, not its formulas.
CALL write_artifact for 01_intent.json with keys:
- core_claim: one sentence the viewer should believe (the solved insight).
- audience: who is watching, what they already own, what they fear.
- emotional_arc: 3–5 beats of feeling.
- scope: what is IN and explicitly what is OUT.
- duration_seconds: target runtime (90–180 typical).
- title_options: three cinematic titles.
- the_big_zoom: the one moment the camera dives in and the claim becomes visible.
Tool discipline: use read_artifact if the prompt references prior files;
use list_artifacts to confirm the run dir. Do not write Manim. Do not invent numbers.
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.
- 23d ago First seen · 21 lines · 48 tokens per session scan A 4becfab1df79
mimo-intent is an agent published in the GitHub repository HarleyCoops/Math-To-Manim (2,773 stars, last pushed 3d ago), licensed MIT. It adds 48 tokens to every session and 245 once invoked, about $0.0002 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 2026-09-23.
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