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 calesthio/generative-media-skills --skill manim-explainer-animationgit clone --depth 1 https://github.com/calesthio/generative-media-skillsWrote 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/calesthio/generative-media-skills/manim-explainer-animation)<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/manim-explainer-animation"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/manim-explainer-animation/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/calesthio/generative-media-skills/manim-explainer-animation"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/manim-explainer-animation.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 | $0.00080 | $0.06001 |
| Opus 5 | $0.00040 | $0.03001 |
| Sonnet 5 | $0.00016 | $0.01200 |
| Haiku 4.5 | $0.00008 | $0.00600 |
Grade A, and why
manim-explainer-animation 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.
How it starts
The opening of the file, as written. The whole thing — 503 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Manim Explainer Animation
Use this skill to produce explainer animations where the explanation depends on precise symbolic, geometric, graphical, algorithmic, or diagrammatic motion. Treat Manim as a programmable explanation instrument, not as a generic video renderer.
Evidence labels
- Documented fact means behavior or requirements grounded in official documentation or standards listed in Sources.
- Production heuristic means a practical rule for reliable explainer production; adapt it to the brief.
- Escalation trigger means stop and ask the user, subject-matter expert, counsel, or platform owner before proceeding.
- Volatile fact means package versions, CLI flags, platform delivery rules, API behavior, pricing, and model/provider availability. Re-check them at production time.
Choose Manim deliberately
Choose Manim when at least one of these is central to the deliverable:
- Equations, transformations, proofs, geometry, vector fields, graphs, number lines, coordinate systems, algorithms, state machines, data graphics, or technical diagrams need exact positions and repeatable motion.
- The visual argument should be reproducible from code and easy to revise after expert feedback.
- The animation needs symbol continuity: the same variable, color, axis, object, or state must retain meaning over time.
- The project benefits from render-in-the-loop iteration: code, render, inspect, patch, and render again.
Prefer another compositor or video tool when:
- The piece is primarily live action, cinematic camera language, textured brand motion, character performance, UI capture, or social-first kinetic typography.
- The user wants a photorealistic or heavily designed motion-graphics look that would be faster in After Effects, Remotion, HyperFrames/GSAP, Blender, or a video model.
- The explanation can be communicated with a static diagram plus narration and does not need precise temporal construction.
Hybridize when useful: render Manim scenes as transparent or full-frame segments, then finish in a compositor for music, captions, brand lower-thirds, live footage, or platform-specific packaging.
What ships with it
1 file 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.
- 8d ago First seen · 503 lines · 80 tokens per session scan A 298102abe8e8
manim-explainer-animation is a skill published in the GitHub repository calesthio/generative-media-skills (170 stars, last pushed 1mo ago), licensed MIT. It adds 80 tokens to every session and 6,001 once invoked, about $0.0004 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 2026-09-03.
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