manimce-best-practices

manimce-best-practices is a skill for Claude Code, Codex from calesthio/OpenMontage. It costs 149 tokens per session (1,567 once invoked), scanned A, original, AGPL-3.0.

A best-practices guide for Manim Community Edition, a community-maintained Python tool for making mathematical and scientific animations.

In plain words
What is it for?
Use it when working with Manim imports, the manim command line, Scene, MathTex, Create(), or other Manim Community Edition code.
Why use it?
It helps developers use the correct Manim Community Edition patterns and commands.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: installed under .agents/ (shared by several agents).

not rated 57krepo +791 5d ago A scan Socket: passSnyk: passSkillSpector: pass 149 tokens AGPL-3.0

Good fit Use it when working with Manim imports, the manim command line, Scene, MathTex, Create(), or other Manim Community Edition code.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/calesthio/openmontage/manimce-best-practices
About the project

OpenMontage is an agent-driven video production system that uses coding assistants to handle tasks such as research, scripting, asset creation, editing, and composition. It is intended for people who want to produce videos through natural-language instructions and includes the project's workflows as catalogue add-ons.

calesthio/OpenMontage · 56,948 stars · on GitHub · openmontage.video

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 calesthio/OpenMontage --skill manimce-best-practices
Clone the repo
git clone --depth 1 https://github.com/calesthio/OpenMontage

Made for: Claude Code, Codex.

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 manimce-best-practices

README.md
[![agentmods](https://agentmods.dev/badge/skills/calesthio/openmontage/manimce-best-practices/github.svg)](https://agentmods.dev/skills/calesthio/openmontage/manimce-best-practices)
Your own site
<a href="https://agentmods.dev/skills/calesthio/openmontage/manimce-best-practices"><img src="https://agentmods.dev/badge/skills/calesthio/openmontage/manimce-best-practices/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 manimce-best-practices

Your own site · 80×15
<a href="https://agentmods.dev/skills/calesthio/openmontage/manimce-best-practices"><img src="https://agentmods.dev/badge/skills/calesthio/openmontage/manimce-best-practices.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 149 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,567 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. Third-party audits
  • Socket pass 4 Apr 2026
  • Snyk pass 4 Apr 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin unknown 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 $0.00149 $0.01567
Opus 5 $0.00075 $0.00783
Sonnet 5 $0.00030 $0.00313
Haiku 4.5 $0.00015 $0.00157

Measured 11d ago against content hash ae09751ec9e3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

manimce-best-practices 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 11d ago.

The scan reads SKILL.md. This mod also ships 12 executable files (examples/3d_visualization.py, examples/attention/__init__.py, examples/attention/helpers.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.agents/skills/manimce-best-practices/SKILL.md · 152 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 11d ago First seen · 152 lines · 149 tokens per session scan A ae09751ec9e3

Subscribe to this mod's changes

manimce-best-practices is a skill published in the GitHub repository calesthio/OpenMontage (56,948 stars, last pushed 5d ago), licensed AGPL-3.0. It adds 149 tokens to every session and 1,567 once invoked, about $0.0007 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 2026-08-30.

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