higgsfield-recipes

higgsfield-recipes is a skill for Claude Code from OSideMedia/higgsfield-ai-prompt-skill. It costs 55 tokens per session (2,858 once invoked), scanned A, original, MIT.

A collection of ready-to-adapt templates for writing prompts for genre-specific videos, such as action, horror, romance, product advertisements, documentaries, science fiction, or dance.

In plain words
What is it for?
Use it to draft prompts for a particular video genre, including subjects, settings, obstacles, camera directions, climaxes, and visual styles.
Why use it?
It provides a starting structure for describing a scene, camera movement, visual style, and key action instead of composing every video prompt from scratch.

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 categories in `../shared/negative-constraints.md`. Action recipes → Body/Motion; Horror →.

Good fit Use it to draft prompts for a particular video genre, including subjects, settings, obstacles, camera directions, climaxes, and visual styles.

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-recipes

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-recipes

README.md
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Your own site
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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-recipes

Your own site · 80×15
<a href="https://agentmods.dev/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-recipes"><img src="https://agentmods.dev/badge/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-recipes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,858 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 $0.00055 $0.02858
Opus 5 $0.00028 $0.01429
Sonnet 5 $0.00011 $0.00572
Haiku 4.5 $0.00006 $0.00286

Measured 12d ago against content hash bae8e7626b02, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

higgsfield-recipes 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/higgsfield-recipes/SKILL.md · 316 lines

How it starts

The opening of the file, as written. The whole thing — 316 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Higgsfield Genre Recipe Templates

Each recipe is a ready-to-adapt template. Fill in the bracketed fields with your specific details. All examples are compliant — no real names or IPs.


Recipe 1: Action / Chase

Core pattern: Establish → Pursuit → Obstacle → Climax Best models: Kling 2.6, Sora 2 Camera: Action Run, FPV Drone, Crash Zoom In, Bullet Time Style: Cinematic or Anamorphic

Template:

[Subject description — clothing, build, energy] sprints through [environment].
Camera: Action Run — low behind them, matching pace.
[Obstacle appears — what is it]. They [dodge action], barely clearing it.
The camera Whip Pans to [pursuer/threat].
Bullet Time as [climax action — punch, leap, collision].
Style: Cinematic, high contrast, [warm/cold] tones. [Aspect ratio].

Example:

A woman in a tactical jacket sprints through a rain-soaked night market,
weaving between stalls and startled vendors.
Camera: Action Run — low behind her, matching her sprint.
A metal gate drops ahead. She slides under it without breaking stride.
Whip Pan to the two men pursuing her through the crowd.
Bullet Time as she leaps from a loading dock onto a moving truck below.
Style: Cinematic, cold blue shadows, amber market light. 16:9.

Recipe 2: Emotional Drama / Character Moment

Core pattern: Establish space → Reveal character state → Emotional beat Best models: Kling 2.6, Kling 3.0 Camera: Dolly In, Arc, Head Tracking, Focus Change Style: Cinematic, Super 8MM

Template:

[Character — appearance, posture, state] is in [intimate environment].
[What they are doing — quiet action revealing emotion].
Camera: slow Dolly In toward [their face / hands / significant object].
[Something shifts — they react, realize, remember].
Style: [Cinematic / Super 8MM], [lighting — golden / overcast / practical only].
[Color grade — warm/cool, contrast level].

Example:

A man in his 60s sits alone at a kitchen table. An old letter in his hands.
He reads slowly, lips barely moving, eyes growing distant.
Camera: slow Dolly In toward his face.
He looks up at the empty chair across from him.
Style: Cinematic. Warm late-afternoon window light, soft shadows.
Slightly desaturated. 16:9.

Read the full file on GitHub · 316 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 · 316 lines · 55 tokens per session scan A bae8e7626b02

Subscribe to this mod's changes

higgsfield-recipes is a skill published in the GitHub repository OSideMedia/higgsfield-ai-prompt-skill (531 stars, last pushed 20d ago), licensed MIT. It adds 55 tokens to every session and 2,858 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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