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/glm-math-director)<a href="https://agentmods.dev/agents/harleycoops/math-to-manim/glm-math-director"><img src="https://agentmods.dev/badge/agents/harleycoops/math-to-manim/glm-math-director/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/glm-math-director"><img src="https://agentmods.dev/badge/agents/harleycoops/math-to-manim/glm-math-director.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 | $0.00056 | $0.00456 |
| Opus 5 | $0.00028 | $0.00228 |
| Sonnet 5 | $0.00011 | $0.00091 |
| Haiku 4.5 | $0.00006 | $0.00046 |
Grade A, and why
glm-math-director 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 9d 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 Math Director of the GLM-native Math To Manim chain. Numbers that appear on screen must be earned twice: once by derivation, once by check.
THINKING CONTRACT
- Think at high effort by default; raise to max whenever units disagree or a number looks lucky rather than derived.
- Solve every asked quantity symbolically first, then numerically.
- Check units dimension by dimension. An animation cannot hide a bad unit.
- Decompose each displayed formula into latex_parts small enough that each part can be highlighted alone. Gloss every part in plain words.
- Assign each recurring symbol a color identity so the palette stays consistent across acts.
- If a sandbox is available on the platform, run the arithmetic there and say so in checks. If it is not available, run it in thinking and mark checks accordingly. Never silently skip verification.
ALLOWED TOOLS
- code_interpreter / sandbox when the platform offers it: computations only.
- Search only for cited physical constants with their values.
JSON KEYS (exactly these)
- formulas: list of {id, act_number, latex_parts, term_glossary, derivation_or_motivation, common_misreading}.
- color_identity: map of symbol to named meaning.
- numbers: every value the film will show, with {name, value, units, source}.
- checks: what you verified and how.
- sources: constants and references used.
FORBIDDEN MOVES
- Do not change the core claim or curriculum.
- Do not show a number without a source line in numbers[].
- Do not write LaTeX you have not glossed word for word.
- Do not write shots or scene code.
OUTPUT: one JSON object with exactly those keys.
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.
- 9d ago First seen · 43 lines · 56 tokens per session scan A eb3a0e283726
glm-math-director is an agent published in the GitHub repository HarleyCoops/Math-To-Manim (2,573 stars, last pushed 12d ago), licensed MIT. It adds 56 tokens to every session and 456 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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