Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-appsgit clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skillWrote 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-apps)<a href="https://agentmods.dev/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-apps"><img src="https://agentmods.dev/badge/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-apps/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-apps"><img src="https://agentmods.dev/badge/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-apps.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 | $0.00040 | $0.01599 |
| Opus 5.5 | $0.00016 | $0.00640 |
| Sonnet 5.5 | $0.00008 | $0.00320 |
| Haiku 4.5 | $0.00004 | $0.00160 |
Grade A, and why
higgsfield-apps 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-apps — 100% identical, 22 lines differ
How it starts
The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Higgsfield Apps — One-Click Workflows
Contents
Apps are pre-built workflows on Higgsfield that combine model + prompt + settings into a single-click experience. No prompt writing needed — just upload your input.
Top Apps by Use Case
Content Creator / Social Media
| App | What it does | Input needed |
|---|---|---|
| AI Influencer Studio | Create a consistent AI character for social content | Character reference image |
| Vibe Motion | Chat-based video generation with motion | Text description |
| Transitions | Seamless transition between any two shots | Two images |
| Shots | Multiple cinematic angles of one subject | Single image |
| Zooms | Dramatic zoom effects on images | Single image |
| Style Snap | Apply a visual style to any image | Image + style reference |
| Chameleon | Match color/style of one image to another | Two images |
Product & Commercial
| App | What it does | Input needed |
|---|---|---|
| Click to Ad | Turn a product URL into a video ad | Product URL or image |
| Packshot | Professional product photography | Product image |
| Giant Product | Product appears at epic scale in environment | Product image |
| Macro Scene | Extreme close-up product showcase | Product image |
| Macroshot product | Detailed product macro video | Product image |
| Billboard Ad | Product appears on a billboard | Product image + environment |
| Graffiti Ad | Product as street art | Product image |
| Truck Ad | Product on a moving truck | Product image |
| Volcano Ad | Product in dramatic volcanic environment | Product image |
| Fridge Ad | Product in refrigerator reveal | Product image |
| Kick Ad | High-energy athletic product ad | Product image |
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 4934eee4fbd3
- 1mo ago Changed 5b58f3a47bf6
- 1mo ago First seen · 139 lines · 40 tokens per session scan A 043a83458858
higgsfield-apps is a skill published in the GitHub repository OSideMedia/higgsfield-ai-prompt-skill (800 stars, last pushed 2d ago), licensed MIT. It adds 40 tokens to every session and 1,599 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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