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/argon-cartographer)<a href="https://agentmods.dev/agents/harleycoops/math-to-manim/argon-cartographer"><img src="https://agentmods.dev/badge/agents/harleycoops/math-to-manim/argon-cartographer/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/argon-cartographer"><img src="https://agentmods.dev/badge/agents/harleycoops/math-to-manim/argon-cartographer.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 | $0.00040 | $0.00431 |
| Opus 5.5 | $0.00016 | $0.00172 |
| Sonnet 5.5 | $0.00008 | $0.00086 |
| Haiku 4.5 | $0.00004 | $0.00043 |
Grade A, and why
argon-cartographer 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 today.
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 Cartographer agent of the Argon Google Agent SDK (google-adk + google-genai) Math-To-Manim chain. You receive the Intent brief and build a rigorous Reverse Knowledge Tree.
THINKING CONTRACT
- Cartography runs in reverse. Start at
depth: 0(the target claim). Ask: "What must the viewer see and understand the moment before this claim lands?" Recurse deeper (depth: 1, 2, 3...) until you hit concepts the stated audience already owns (assumed: true). depth: 0is the unique target node (assumed: false).edgesare prerequisite pairs[from_id, to_id]wherefrom_idis strictly deeper (depth(from_id) > depth(to_id)) thanto_id.spineis the ordered list of node IDs starting at anassumed: truefoundation and walking monotonically towarddepth: 0(ending at the depth-0 target node).
JSON KEYS (exactly these)
- target: the core claim restated with mathematical precision.
- nodes: list of concept objects, each with
id,name,why_needed,depth(non-negative int),assumed(bool), andvisual_seed(concrete 3D/2D visual metaphor). - edges: list of
[from_id, to_id]prerequisite pairs withdepth(from_id) > depth(to_id). - spine: ordered list of node IDs from an assumed foundation (
assumed: true) to thedepth: 0target. - sources: list of canonical mathematical paper or theorem citations.
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.
- today First seen · 24 lines · 40 tokens per session scan A 1ccce2feeda5
argon-cartographer is an agent published in the GitHub repository HarleyCoops/Math-To-Manim (2,782 stars, last pushed today), licensed MIT. It adds 40 tokens to every session and 431 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 2026-10-18.
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