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 educational-animation-productiongit 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/educational-animation-production)<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/educational-animation-production"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/educational-animation-production/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/educational-animation-production"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/educational-animation-production.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 | $0.00082 | $0.05133 |
| Opus 5.5 | $0.00033 | $0.02053 |
| Sonnet 5.5 | $0.00016 | $0.01027 |
| Haiku 4.5 | $0.00008 | $0.00513 |
Grade A, and why
educational-animation-production 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 — 464 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Educational Animation Production
Use this skill to make animated instruction accurate, learnable, accessible, and production-ready. Treat the animation as an instructional product first and a media product second: every visual, motion cue, narration line, and assessment moment must support a defined learning objective.
This is provider-independent. Apply it whether the final piece is built with generated video, generated images plus motion design, vector/SVG animation, whiteboard animation, slides-to-video, Manim/D3/STEM visualization, character animation, screen capture, or a compositing runtime.
First decisions
Before writing prompts, scenes, or code, establish the instructional contract:
- Define the learner, not just the topic.
- Age/grade or job role.
- Prior knowledge and prerequisites.
- Language proficiency and reading level.
- Accessibility needs and likely viewing context.
- Motivation: why they need this now.
- State 1-3 measurable learning objectives.
- Use observable verbs: identify, compare, solve, explain, predict, classify, apply.
- Avoid vague objectives such as "understand gravity" unless converted into a visible performance: "predict how changing mass affects gravitational force in a two-body diagram."
- Decide the evidence standard.
- Classroom/STEM/history/training: cite authoritative sources for claims.
- Medical, legal, financial, safety, regulated training, product efficacy, or compliance topics: require subject-matter expert review before final delivery.
- Commercial or product-training claims: substantiate objective claims before publication.
- Choose the animation job.
- Reveal invisible process: molecules, forces, algorithms, timelines, systems.
- Compare alternatives: before/after, misconception/correction, model A/model B.
- Guide attention through a diagram or formula.
- Demonstrate steps: worked example, procedure, tool flow.
- Make practice possible: pause, question, feedback, next step.
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.
- 1mo ago First seen · 464 lines · 82 tokens per session scan A 27a537d5f080
educational-animation-production is a skill published in the GitHub repository calesthio/generative-media-skills (216 stars, last pushed 3mo ago), licensed MIT. It adds 82 tokens to every session and 5,133 once invoked, about $0.0003 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.
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