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 | $0.03710 |
| Opus 5 | $0.00018 | $0.01855 |
| Sonnet 5 | $0.00007 | $0.00742 |
| Haiku 4.5 | $0.00004 | $0.00371 |
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 13d 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 — 286 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Higgsfield Visual Styles
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, Sora 2, 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 2.5, any horror preset
Example: Teenagers at a house party in 1987.
Style: VHS. Warm, grainy, slightly overexposed. 4:3 ratio.
Super 8MM
Look: Warm film grain, soft vignette, muted colors, home-movie feel Best for: Personal stories, romance, nostalgia, indie films, family moments Color tendency: Warm, golden, slightly faded Prompt phrase: "Style: Super 8MM" Pair with: Handheld, natural light descriptions, intimate scenes
Example: A couple dancing in a sunlit backyard in the 1970s.
Style: Super 8MM. Warm grain, soft vignette edges. 4:3.
Anamorphic
Look: Ultra-wide aspect ratio (2.35:1), horizontal lens flares, slight barrel distortion, epic scale — classic Hollywood widescreen Best for: Action, epic fantasy, war films, sweeping landscapes, high drama Color tendency: High contrast, deep blacks, rich highlights Prompt phrase: "Style: Anamorphic" or "Style: Anamorphic, 2.35:1 widescreen" Pair with: Crane Up, 360 Orbit, Super Dolly Out, Sora 2
Example: An army marches across a frozen plain at dawn.
Style: Anamorphic, 2.35:1. Deep blue-grey tones. Lens flare on the rising sun.
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.
- 13d 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 (531 stars, last pushed 20d ago), licensed MIT. It adds 37 tokens to every session and 3,710 once invoked, about $0.0002 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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