higgsfield-motion

higgsfield-motion is a skill for Claude Code from OSideMedia/higgsfield-ai-prompt-skill. It costs 48 tokens per session (4,991 once invoked), scanned A, original, MIT.

A skill for using named motion presets in Higgsfield, where a preset name applies a predefined visual effect. These presets cover effects, transformations, elemental visuals, and transitions.

In plain words
What is it for?
Use it when the user asks for a named motion or VFX preset, such as an elemental effect or transition. It is intended for preset-driven effects rather than detailed free-form film camera direction.
Why use it?
It saves the user from describing a complete effect from scratch when a matching preset already exists. Exact preset names help the platform apply the intended effect.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is Seedance block briefs (`../higgsfield-camera/SKILL.md`,.

Good fit Use it when the user asks for a named motion or VFX preset, such as an elemental effect or transition. It is intended for preset-driven effects rather than detailed free-form film camera direction.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skill
agentmods
npx agentmods add skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-motion

Made for: Claude Code.

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 higgsfield-motion

README.md
[![agentmods](https://agentmods.dev/badge/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-motion/github.svg)](https://agentmods.dev/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-motion)
Your own site
<a href="https://agentmods.dev/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-motion"><img src="https://agentmods.dev/badge/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-motion/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 higgsfield-motion

Your own site · 80×15
<a href="https://agentmods.dev/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-motion"><img src="https://agentmods.dev/badge/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-motion.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,991 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 $0.00048 $0.04991
Opus 5.5 $0.00019 $0.01996
Sonnet 5.5 $0.00010 $0.00998
Haiku 4.5 $0.00005 $0.00499

Measured 3d ago against content hash b594c151c8d0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

higgsfield-motion 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 3d 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/higgsfield-motion/SKILL.md · 405 lines

How it starts

The opening of the file, as written. The whole thing — 405 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Higgsfield Named Motion Presets

Contents

Higgsfield has 100+ named motion presets. Reference them by exact name in your prompt and the platform applies the preset's signature effect. Think of these as VFX macros — one name triggers a complete pre-built visual effect.

Scope caveat [FIELD — 13-project community harvest + live preset-catalog pull, both 2026-07-18]: motion presets are the viral-effects / social product, not the film grammar. None of the 13 harvested community film/ad productions used a single motion preset — serious film work free-prompts its camera through Cinema Studio / Seedance block briefs (../higgsfield-camera/SKILL.md, ../higgsfield-seedance/SKILL.md). Separately, the live catalog pull showed ~100 unique preset names expanded into ~1,900 per-model variants (kling / higgsfield / wan / minimax / seedance families with baked params); category weights at pull time skewed to effects/viral/vfx/ugc. Route preset requests here as ever — but don't steer a filmmaking request into presets when free-prompted camera language is the production-proven path.

How to use in a prompt:

[Your scene description.] Apply the [Preset Name] preset.

Read the full file on GitHub · 405 lines

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. 3d ago Changed · +26 lines b594c151c8d0
  2. 1mo ago First seen · 379 lines · 48 tokens per session scan A 32ea4c8982ad

Subscribe to this mod's changes

higgsfield-motion is a skill published in the GitHub repository OSideMedia/higgsfield-ai-prompt-skill (800 stars, last pushed 2d ago), licensed MIT. It adds 48 tokens to every session and 4,991 once invoked, about $0.0002 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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