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.
npx skills add tokenbender/agent-guides --skill manim-math-explainergit clone --depth 1 https://github.com/tokenbender/agent-guidesWrote 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/skills/tokenbender/agent-guides/manim-math-explainer)<a href="https://agentmods.dev/skills/tokenbender/agent-guides/manim-math-explainer"><img src="https://agentmods.dev/badge/skills/tokenbender/agent-guides/manim-math-explainer/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/skills/tokenbender/agent-guides/manim-math-explainer"><img src="https://agentmods.dev/badge/skills/tokenbender/agent-guides/manim-math-explainer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00124 | $0.00813 |
| Opus 5.5 | $0.00050 | $0.00325 |
| Sonnet 5.5 | $0.00025 | $0.00163 |
| Haiku 4.5 | $0.00012 | $0.00081 |
Grade A, and why
manim-math-explainer 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 1mo 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scope
- Default to Manim Community Edition.
- Build scenes that explain one idea at a time.
- Prefer official Manim APIs and example-gallery patterns over low-level point editing.
- Optimize for quick iteration first, polish second.
Read First
rules/core-workflow.mdrules/visual-style.mdrules/proof-layouts.mdrules/text-and-math.mdrules/dynamics-and-graphing.md
When a request is mainly about aesthetics, composition, pacing, or visual tone,
prioritize rules/visual-style.md and keep the rest secondary.
Default Operating Rules
- Confirm the stack before writing code.
If imports or commands suggest
manimglormanimlib, stop and switch mental models. - Start with one compact scene in one file.
- Build in this order: create, position, style, animate.
- Prefer
Create,Write,FadeIn,FadeOut,Transform,ReplacementTransform,TransformMatchingTex, and.animate. - Use
Textfor prose,MathTexfor formulas, andTexonly when mixing prose with LaTeX intentionally. - Use
ValueTrackerwithalways_redraw(...)or simple updaters for dynamic geometry. - Keep color semantics stable across the whole scene.
- Use camera movement only when it adds meaning.
Visual Defaults
- Editorial, proof-first composition
- One focal point per beat
- Stable layout and restrained camera motion
- Limited semantic palette instead of decorative multicolor styling
- Smooth, identity-preserving transforms over flashy effects
- Clean negative space and readable frame density
Render Loop
manim -pql scene.py SceneName
manim -sql scene.py SceneName
manim -pqm scene.py SceneName
manim -qh scene.py SceneName
-pql: fast development loop-sql: save last frame only-pqm: medium-quality check-qh: final render
Preferred Toolbox
- Layout:
VGroup,Group,arrange,arrange_in_grid,next_to,align_to,to_edge,to_corner - Emphasis:
SurroundingRectangle,Brace,Arrow,Indicate,Circumscribe - Equation work:
MathTex,TransformMatchingTex,substrings_to_isolate,index_labels - Dynamic scenes:
ValueTracker,always_redraw,add_updater,TracedPath - Plotting:
Axes,NumberPlane,axes.plot,axes.get_graph_label,axes.i2gp
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 89 lines · 124 tokens per session scan A 88e283b8b570
manim-math-explainer is a skill published in the GitHub repository tokenbender/agent-guides (367 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 124 tokens to every session and 813 once invoked, about $0.0005 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 skills, from other repositories
lean-formalize
Develop and verify a mathematical proof in Lean, continue an incomplete Lean project, or audit whether it proves the original statement. Connect actual inputs to intermediate lemmas, assemble the target theorem, check its transitive axioms, and provide a reproducible handoff. Use when Lean is requested or a specific…
build-interactive-explainers
A guide for building interactive explainers, calculators, and simulations driven by an executable model. Users change inputs, steps, states, or events to understand a rule or see how a process develops over time.
tooluniverse-organic-chemistry
Organic chemistry reasoning guide for reaction product prediction, mechanism analysis (electrophilic/nucleophilic substitution, addition, elimination, pericyclic, radical), and spectroscopy interpretation (1H/13C NMR, IR, MS). Reasons from first principles (electron flow, kinetic vs thermodynamic) rather than…
edu-chem-reaction
A guide for turning a chemical reaction into a self-contained interactive 3D web demonstration. It shows molecules changing while also displaying the balanced equation, explanations, atom counts, and optionally an energy curve.
scaffold-exercises
Scaffold a graded problem set with sections, problems, worked solutions, and short "why this matters" explainers across analytical, empirical, and coding types. Use when user says "make a problem set on X", "scaffold exercises for this lecture", "create practice problems", "generate homework with a solution key"…
anatomy-quiz-master
Generate interactive anatomy quizzes for medical education with multiple.