test-manim

test-manim is a skill for Claude Code from shihabshahrier/manim-coding-skill. It costs 92 tokens per session (2,776 once invoked), scanned A, original, MIT.

A tool for making educational science, technology, engineering, and mathematics animations with ManimGL, a Python-based animation library. It creates short video segments and merges them into a final teaching video.

In plain words
What is it for?
Creating animations about subjects such as Newton's laws, Fourier series, or neural networks, with configurable total duration and rendering model.
Why use it?
It organizes an animation into planned 15-second sections, which makes longer explanations easier to render and assemble. It is intended to keep the visuals focused on teaching a topic.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: positional $N argument; mentions Claude Code; mentions OpenCode.

Part of the test-manim plugin — 1 skill shipped together

Good fit Creating animations about subjects such as Newton's laws, Fourier series, or neural networks, with configurable total duration and rendering model.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/shihabshahrier/manim-coding-skill/test-manim
Install

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.

Any agent
npx skills add shihabshahrier/manim-coding-skill --skill test-manim
Clone the repo
git clone --depth 1 https://github.com/shihabshahrier/manim-coding-skill

Made for: Claude Code.

Or install test-manim, the plugin that ships this one along with the rest of its 1 skill.

Wrote 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.

agentmods badge for test-manim

README.md
[![agentmods](https://agentmods.dev/badge/skills/shihabshahrier/manim-coding-skill/test-manim/github.svg)](https://agentmods.dev/skills/shihabshahrier/manim-coding-skill/test-manim)
Your own site
<a href="https://agentmods.dev/skills/shihabshahrier/manim-coding-skill/test-manim"><img src="https://agentmods.dev/badge/skills/shihabshahrier/manim-coding-skill/test-manim/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.

agentmods 80×15 button for test-manim

Your own site · 80×15
<a href="https://agentmods.dev/skills/shihabshahrier/manim-coding-skill/test-manim"><img src="https://agentmods.dev/badge/skills/shihabshahrier/manim-coding-skill/test-manim.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,776 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00092 $0.02776
Opus 5 $0.00046 $0.01388
Sonnet 5 $0.00018 $0.00555
Haiku 4.5 $0.00009 $0.00278

Measured 8d ago against content hash 4e3abc2f5c26, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

test-manim 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.

skills/test-manim/SKILL.md · 354 lines

How it starts

The opening of the file, as written. The whole thing — 354 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ManimGL STEM Animation Skill

Produce pedagogically-effective STEM teaching animations: narrative-first, chunk-based (15s segments), rendered in ManimGL (manimgl v1.7+), merged into one final video.


Invocation

/test-manim "Newton's Laws of Motion"
/test-manim "Fourier Series" --duration 60
/test-manim "Neural Networks" --duration 90 --model minimax
Arg Default Values
topic required any STEM subject string
--duration 30 30, 60, 90, 120 (seconds)
--model session model identifier used in folder name

Phase 0 — Parse & Scaffold

Extract from invocation:

  • TOPIC — subject string (required)
  • DURATION — total seconds (default: 30)
  • MODEL_NAME — folder identifier (default: derive from session context or use "claude")
  • CHUNK_COUNT = ceil(DURATION / 15)
  • TOPIC_SLUG = TOPIC lowercased, spaces→underscores, strip special chars

Create project at current working directory:

manim-{MODEL_NAME}/
  {TOPIC_SLUG}/
    scenes/
      chunk_01_{name}.py
      chunk_02_{name}.py
      ...
    output/
      chunks/
      final/
    assets/
    SCENE_PLAN.md
    render.sh
    merge.sh

Create all directories with mkdir -p before writing any files. Make render.sh and merge.sh executable with chmod +x.


Phase 1 — Narrative Planning (ALWAYS before code)

Write SCENE_PLAN.md completely before writing any .py files.

Story Arc Requirements

Every animation must have:

  1. Hook (first chunk): One striking visual that poses the core question
  2. Build (middle chunks): One concept per chunk, each building on prior
  3. Resolution (last chunk): Visual synthesis connecting all prior chunks; key insight held on screen

SCENE_PLAN.md Template

# {TOPIC} — Animation Plan

**Duration**: {DURATION}s | **Chunks**: {CHUNK_COUNT} × 15s | **Model**: {MODEL_NAME}

## Story Arc
- Hook: [striking opening visual — what question does it pose?]
- Build: [ordered list of concepts, one per chunk]
- Resolution: [final synthesis — what understanding has the viewer gained?]

## Visual Language
- Background: BLACK
- Primary concept color: BLUE
- Secondary concept color: YELLOW
- Accent / highlight: RED or GREEN
- Text / labels: WHITE
- Rule: one color = one concept, consistent across ALL chunks

## Chunks

### Chunk 1 — {name} (0s–15s)
- Role: Hook
- Concept: [what is demonstrated]
- Opening: [first visual the viewer sees]
- Key moment: [the reveal or insight at ~10s]
- Closing: [held frame at 15s — clean fade out]
- ManimGL objects: [list specific classes]
- Equations: [LaTeX strings if any]

### Chunk 2 — {name} (15s–30s)
- Role: Build
- Concept: ...
[repeat for each chunk]

### Chunk {CHUNK_COUNT} — {name} ({DURATION-15}s–{DURATION}s)
- Role: Resolution
- Concept: ...
- Callback: [reference to visuals from chunk 1]

## Issues Log
[fill during render phase]

Read the full file on GitHub · 354 lines

Files

What ships with it

2 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.

Changes

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.

  1. 8d ago First seen · 354 lines · 92 tokens per session scan A 4e3abc2f5c26

Subscribe to this mod's changes

test-manim is a skill published in the GitHub repository shihabshahrier/manim-coding-skill (2 stars, last pushed today), licensed MIT. It adds 92 tokens to every session and 2,776 once invoked, about $0.0005 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 2026-08-31.

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