fx-neural-net

fx-neural-net is a skill for Claude Code, Codex from nexu-io/motion-anything. It costs 58 tokens per session (401 once invoked), scanned A, original, Apache-2.0.

A canvas animation of a pulsing neural network. A neural network is a computer model inspired by connected brain cells; here it is presented as an AI-themed backdrop.

In plain words
What is it for?
Use it on a title card, section break, or hero scene in an AI presentation or launch video. It respects reduced-motion settings by not starting when they are enabled.
Why use it?
It adds an animated AI visual without requiring you to draw and animate the connected nodes yourself. It should not be used behind content that needs focused reading.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it on a title card, section break, or hero scene in an AI presentation or launch video. It respects reduced-motion settings by not starting when they are enabled.

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Install with agentmods
npx agentmods add skills/nexu-io/motion-anything/fx-neural-net
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 nexu-io/motion-anything --skill fx-neural-net
Clone the repo
git clone --depth 1 https://github.com/nexu-io/motion-anything

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 fx-neural-net

README.md
[![agentmods](https://agentmods.dev/badge/skills/nexu-io/motion-anything/fx-neural-net/github.svg)](https://agentmods.dev/skills/nexu-io/motion-anything/fx-neural-net)
Your own site
<a href="https://agentmods.dev/skills/nexu-io/motion-anything/fx-neural-net"><img src="https://agentmods.dev/badge/skills/nexu-io/motion-anything/fx-neural-net/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 fx-neural-net

Your own site · 80×15
<a href="https://agentmods.dev/skills/nexu-io/motion-anything/fx-neural-net"><img src="https://agentmods.dev/badge/skills/nexu-io/motion-anything/fx-neural-net.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 401 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
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00058 $0.00401
Opus 5 $0.00029 $0.00200
Sonnet 5 $0.00012 $0.00080
Haiku 4.5 $0.00006 $0.00040

Measured 7d ago against content hash 61151d73da0e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

fx-neural-net 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 7d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (_util.js, neural-net.js), 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.

recipes/slides/fx-neural-net/SKILL.md · 41 lines

What it actually says

Neural Net

A pulsing neural network — an AI backdrop. From Open Design's html-ppt fx pack (Apache-2.0). Part of motion-anything; obeys MOTION-SPEC.md.

When to use it

  • Title cards, section breaks, or hero moments in slides / launch videos.

When NOT to use it (restraint)

  • Web body content or anything needing focused reading. Never more than one bold effect at once.

How to apply

  1. Copy neural-net.js and _util.js and link them.
  2. Add data-fx="neural-net" to a positioned container; call HPX['neural-net'](el) (guard prefers-reduced-motion).

Accessibility & performance

  • Guard with prefers-reduced-motion (don't start). Canvas-based; isolated compositing layer.
Files

What ships with it

4 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. 7d ago First seen · 41 lines · 58 tokens per session scan A 61151d73da0e

Subscribe to this mod's changes

fx-neural-net is a skill published in the GitHub repository nexu-io/motion-anything (773 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 58 tokens to every session and 401 once invoked, about $0.0003 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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