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.
git clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skillnpx agentmods add skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-recipesWrote 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.
[](https://agentmods.dev/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-recipes)<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/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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00055 | $0.03322 |
| Opus 5.5 | $0.00022 | $0.01329 |
| Sonnet 5.5 | $0.00011 | $0.00664 |
| Haiku 4.5 | $0.00006 | $0.00332 |
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 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- higgsfield-recipes — 100% identical, 39 lines differ
How it starts
The opening of the file, as written. The whole thing — 341 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Higgsfield Genre Recipe Templates
Contents
- Recipe 1: Action / Chase
- Recipe 2: Emotional Drama / Character Moment
- Recipe 3: Product Advertisement
- Recipe 4: Sci-Fi / Futuristic
- Recipe 5: Horror / Supernatural
- Recipe 6: Romance / Intimate
- Recipe 7: Documentary / Nature
- Recipe 8: Dance / Music Video
- Recipe 9: Transformation / Before & After
- Related skills
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.
Style: Anamorphicin these recipes is a single-shot Look-line choice — a standalone generation with no location plate, where the words are the only route to the look (rootSKILL.mdHARD RULE 7: a style register, never an output ratio). For a multi-shot Seedance sequence that must hold the lens across shots, the lens goes into the location plates instead and the optics words leave the video prompt (../higgsfield-seedance/SKILL.md§ Bake it into the asset) — one studio's practice; Hell Grind keeps the look in the prompt too, and which holds better is OPEN (../shared/house-rulings.mdP2-6).
Recipe 1: Action / Chase
Core pattern: Establish → Pursuit → Obstacle → Climax Best models: Kling 2.6 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].
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.
- 3d ago Changed · +16 lines ba659f4bfb50
- 29d ago Changed · +9 lines f61bfd1949a3
- 1mo ago First seen · 316 lines · 55 tokens per session scan A bae8e7626b02
higgsfield-recipes is a skill published in the GitHub repository OSideMedia/higgsfield-ai-prompt-skill (800 stars, last pushed 2d ago), licensed MIT. It adds 55 tokens to every session and 3,322 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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