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-styleWrote 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-style)<a href="https://agentmods.dev/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-style"><img src="https://agentmods.dev/badge/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-style/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-style"><img src="https://agentmods.dev/badge/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-style.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 | $0.00037 | $0.04081 |
| Opus 5.5 | $0.00015 | $0.01632 |
| Sonnet 5.5 | $0.00007 | $0.00816 |
| Haiku 4.5 | $0.00004 | $0.00408 |
Grade A, and why
higgsfield-style 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 311 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Higgsfield Visual Styles
Contents
- Core Platform Styles
- Color Grade Vocabulary
- Lighting Vocabulary
- Cinematic Lighting Techniques
- Aspect Ratio Guide
- Style Best Practices (Cinema Studio 3.0 / Seedance 2.0)
- Register Poles — the style dial has opposite ends
- Style Recipes — eight proven shapes
- Related skills
Core Platform Styles
These five styles are Higgsfield's named presets. Reference them by exact name.
Cinematic
Look: Polished, high-contrast, vivid colors, balanced exposure — modern blockbuster Best for: Drama, action, narrative films, commercials, any professional content Color tendency: Rich, saturated, clean Prompt phrase: "Style: Cinematic" Pair with: Kling 2.6/3.0, Dolly In, Arc, Crane Up
Example: A detective walks through a night market.
Style: Cinematic. Cold blue shadows, warm amber market stall light.
Shallow depth of field. 16:9.
VHS
Look: Retro videotape grain, color bleed, slight scanlines, analog imperfection Best for: 80s/90s nostalgia, horror, thriller, retro music videos, flashbacks Color tendency: Slightly washed out, warm yellows and reds, low contrast Prompt phrase: "Style: VHS" Pair with: Handheld camera, Wan 2.6 or Wan 2.5 (2.5 is not in the API catalog, 2026-09-26 — verify in the live UI), any horror preset
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.
- 4d ago Changed · +25 lines 1e2d91406bc5
- 1mo ago Changed 6663a9fc917f
- 1mo ago First seen · 286 lines · 37 tokens per session scan A 08c5da6000d7
higgsfield-style is a skill published in the GitHub repository OSideMedia/higgsfield-ai-prompt-skill (800 stars, last pushed 2d ago), licensed MIT. It adds 37 tokens to every session and 4,081 once invoked, about $0.0001 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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