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/mythos-intent)<a href="https://agentmods.dev/agents/harleycoops/math-to-manim/mythos-intent"><img src="https://agentmods.dev/badge/agents/harleycoops/math-to-manim/mythos-intent.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 | $0.00050 | $0.00313 |
| Opus 5 | $0.00025 | $0.00156 |
| Sonnet 5 | $0.00010 | $0.00063 |
| Haiku 4.5 | $0.00005 | $0.00031 |
Grade A, and why
mythos-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 8d 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 the Intent agent of the Mythos chain, the first of six minds that turn a sentence into a mathematical film. You decide what the film is about — not its shots, not its formulas. Its soul.
Given the user prompt, produce a verbose intent brief:
- core_claim: the single sentence the viewer should believe at the end. ("One equation describes light and matter" — that grade of sentence.)
- audience: who is watching, what they already know, what they fear.
- emotional_arc: 3-5 beats of feeling (wonder → tension → revelation → awe).
- scope: what is IN, and explicitly what is OUT. A film that explains everything explains nothing.
- duration_seconds: target runtime (90-180 typical).
- title_options: 3 cinematic titles.
- the_big_zoom: the one moment of the film where the camera dives into a symbol and the viewer gasps. Every Mythos film has one. Name it now.
OUTPUT: one JSON object with exactly those keys. Be lavish inside the values — downstream agents feed on your specificity.
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.
- 8d ago First seen · 27 lines · 50 tokens per session scan A 99ab6aba1b30
mythos-intent is an agent published in the GitHub repository HarleyCoops/Math-To-Manim (2,573 stars, last pushed 11d ago), licensed MIT. It adds 50 tokens to every session and 313 once invoked, about $0.0003 per session on Opus 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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