higgsfield-prompt

higgsfield-prompt is a skill for Claude Code from dsm5e/aso-tracker. It costs 56 tokens per session (5,660 once invoked), scanned A, original, MIT.

A guide for writing structured prompts for Higgsfield AI video and image generation. It covers the model, camera, subject, visual style, and action.

In plain words
What is it for?
Use it to write prompts for text-to-video or image-to-video projects, including scene descriptions, camera directions, lighting, colour, and action.
Why use it?
It helps turn a vague idea into clear instructions that describe what should appear, how it should move, and how it should look.

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 `../shared/negative-constraints.md`. Always check the relevant categories for your prompt type..

Good fit Use it to write prompts for text-to-video or image-to-video projects, including scene descriptions, camera directions, lighting, colour, and action.

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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/dsm5e/aso-tracker
agentmods
npx agentmods add skills/dsm5e/aso-tracker/higgsfield-prompt

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-prompt

README.md
[![agentmods](https://agentmods.dev/badge/skills/dsm5e/aso-tracker/higgsfield-prompt/github.svg)](https://agentmods.dev/skills/dsm5e/aso-tracker/higgsfield-prompt)
Your own site
<a href="https://agentmods.dev/skills/dsm5e/aso-tracker/higgsfield-prompt"><img src="https://agentmods.dev/badge/skills/dsm5e/aso-tracker/higgsfield-prompt/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-prompt

Your own site · 80×15
<a href="https://agentmods.dev/skills/dsm5e/aso-tracker/higgsfield-prompt"><img src="https://agentmods.dev/badge/skills/dsm5e/aso-tracker/higgsfield-prompt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,660 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 $0.00056 $0.05660
Opus 5 $0.00028 $0.02830
Sonnet 5 $0.00011 $0.01132
Haiku 4.5 $0.00006 $0.00566

Measured 12d ago against content hash 217a5ae7b0f9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

higgsfield-prompt 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 12d 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.

aso-video/docs/higgsfield-prompts/skills/higgsfield-prompt/SKILL.md · 506 lines

How it starts

The opening of the file, as written. The whole thing — 506 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Higgsfield Prompt Engineering

The MCSLA Formula

Every high-performing Higgsfield prompt is built on five layers. Think of it as the cinematographer's checklist — fill in each layer and the model has everything it needs.

Letter Element Description Example
M Model Which generation engine "Use Kling 2.6"
C Camera Named camera control "FPV Drone shot weaving through the alley"
S Subject Who/what + appearance "A woman in a sand-colored suit, sharp eyes"
L Look Style + color + lighting "Cinematic, golden hour, anamorphic flare"
A Action What happens in the scene "She turns slowly, wind lifting her coat"

Prompt Types

Text-to-Video (T2V)

Start from nothing — describe the entire scene from scratch. Best for: establishing scenes, abstract concepts, environments without a specific character.

[Subject + appearance].
[Environment — location, time, weather, atmosphere].
[Action — what happens and how].
[Camera — named control].
[Look — style + color grade].

Example:

A lone astronaut stands on the surface of a red desert planet, helmet visor reflecting
twin moons rising on the horizon. Dust spirals slowly in the thin atmosphere.
She turns to face the camera, gloved hand raised in a slow salute.
Camera: slow Crane Up revealing the vast emptiness behind her.
Style: Cinematic, desaturated orange and deep blue, 2.35:1 anamorphic.

Image-to-Video (I2V)

Animate a provided still image. The image defines the starting frame. Best for: character consistency, product shots, portrait animation, storyboard bring-to-life.

[Reference the input image as the first frame].
[Describe what should move, change, or animate — not what is already visible].
[Camera — named control].
[Style/atmosphere cues].

Example:

Starting from the provided image as the first frame.
The woman's hair lifts gently in the wind. She blinks slowly and turns her gaze
slightly to the left, a faint smile forming.
Camera: subtle Dolly In toward her face.
Style: Cinematic, warm afternoon light, shallow depth of field.

Read the full file on GitHub · 506 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. 12d ago First seen · 506 lines · 56 tokens per session scan A 217a5ae7b0f9

Subscribe to this mod's changes

higgsfield-prompt is a skill published in the GitHub repository dsm5e/aso-tracker (139 stars, last pushed 26d ago), licensed MIT. It adds 56 tokens to every session and 5,660 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 2026-08-30.

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