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-assistWrote 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-assist)<a href="https://agentmods.dev/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-assist"><img src="https://agentmods.dev/badge/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-assist/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-assist"><img src="https://agentmods.dev/badge/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-assist.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 | $0.00056 | $0.02767 |
| Opus 5 | $0.00028 | $0.01384 |
| Sonnet 5 | $0.00011 | $0.00553 |
| Haiku 4.5 | $0.00006 | $0.00277 |
Grade A, and why
higgsfield-assist 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- higgsfield-assist — 88% identical, 72 lines differ
How it starts
The opening of the file, as written. The whole thing — 262 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Higgsfield Assist + Credit Optimization
Higgsfield Assist (GPT-5 Powered Copilot)
Location: higgsfield.ai/chat
Higgsfield Assist is a GPT-5 powered creative copilot built directly into the platform. It's separate from Claude — it lives inside Higgsfield's interface and is trained specifically on Higgsfield's tools, workflows, and generation patterns.
What Assist Can Do
- Generate image prompts optimized for the Soul model
- Generate prompts for viral videos in specific styles
- Navigate the platform — recommend which tool to use for a goal
- Recommend the right effects, apps, or presets for your use case
- Answer questions about features and capabilities
- Give feedback on scripts, prompts, or creative concepts
- Suggest fresh ideas when you're blocked
- Help with storyboard planning
How to Use Assist
- Click "Assistant" in the top Higgsfield header
- Select the GPT-5 model
- Ask anything — examples:
- "Generate a Soul image prompt in the style of a Helmut Newton editorial"
- "What's the best workflow to create a 30-second branded video with consistent characters?"
- "Which camera preset works best for a car chase sequence?"
- "Help me write a prompt for a product video for a skincare brand, sophisticated tone"
- Copy the generated prompt → paste into the relevant feature
When to Use Assist vs Claude with This Skill
| Use Assist for | Use this Claude skill for |
|---|---|
| Quick prompt generation within the platform | Building complex multi-shot workflows |
| Platform navigation questions | Structuring long-form projects |
| Viral/trend suggestions (platform-current) | Systematic MCSLA prompt construction |
| Real-time platform feature questions | Genre recipe templates and troubleshooting |
| Rapid iteration inside the Higgsfield UI | Understanding the underlying principles |
Best workflow: Use this Claude skill to plan and structure → use Higgsfield Assist for final in-platform prompt refinement and quick generation.
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.
- 12d ago First seen · 262 lines · 56 tokens per session scan A 3d3570977292
higgsfield-assist is a skill published in the GitHub repository OSideMedia/higgsfield-ai-prompt-skill (531 stars, last pushed 20d ago), licensed MIT. It adds 56 tokens to every session and 2,767 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.
Other skills, from other repositories
vibe-creating-prompt
Judges whether a user's input suits the Vibe Creating style of video-prompt writing, and when it does, distills single-scene prompts, multi-shot descriptions, emotional imagery, or mixed input into prompts that are easier for a video model to generate from — while preserving any user-specified dialogue, voiceover…
seedance-cinematic-film
Write photorealistic live-action cinematic Seedance 2.0 prompts for Higgsfield, built on five grounding pillars that stop AI drift and floaty motion. Use for "cinematic film prompt", "shot like a movie", realistic body movement, grounded motion, restrained emotional close-ups, driving scenes, fight choreography…
director-cinematography
Virtual director and cinematographer for AI-generated short videos using Higgsfield. Takes a script, scene, or creative idea and produces a shot-by-shot visual direction plan with ready-to-paste Higgsfield prompts — camera presets, lenses, lighting, color grading, and motion directives for every shot. Channels 11…
seedance-prompt-builder
Write production-ready Seedance 2.0 prompts (image, video, and motion/edit) for Higgsfield. Use this skill whenever the user wants a single Seedance prompt rather than a full shotlist — e.g. "make a Seedance prompt for X", "write me a video prompt", "restyle this clip", "turn my photo into a character sheet"…
down-skilling
Distill Opus-level reasoning into optimized instructions for Haiku 4.5 (and Sonnet). Generates explicit, procedural prompts with n-shot examples that maximize smaller model performance on a given task. Use when user says "down-skill", "distill for Haiku", "optimize for Haiku", "make this work on Haiku", "generate…
reviewing-ai-papers
Analyzes an AI/ML publication — paper, preprint, article, technical blog post — and extracts what an enterprise AI engineer should do about it. Use when someone supplies a URL or document on RAG, embeddings, fine-tuning, prompt engineering, agents, or LLM deployment and asks "review this paper", "what do you make of…