higgsfield

higgsfield is a skill for Claude Code from OSideMedia/higgsfield-ai-prompt-skill. It costs 170 tokens per session (12,018 once invoked), scanned A, original, MIT.

A general skill for working with Higgsfield AI, a platform for generating and editing images and videos with different models and controls. It routes requests to more specific guidance for prompts, cameras, presets, characters, and models.

In plain words
What is it for?
Use it when selecting Higgsfield models, writing or refining image or video prompts, controlling cameras, applying motion presets, or maintaining consistent characters. It covers models such as Kling, Sora, Veo, Wan, Seedance, and others listed in its guidance.
Why use it?
It helps choose the right Higgsfield workflow instead of treating every request as the same kind of generation. It also requires checking the relevant instructions before giving an answer.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: reads .claude/ paths; mentions Claude Code.

Good fit Use it when selecting Higgsfield models, writing or refining image or video prompts, controlling cameras, applying motion presets, or maintaining consistent characters. It covers models such as Kling, Sora, Veo, Wan, Seedance, and others listed in its guidance.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-ai-prompt-skill
Install

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.

Any agent
npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-ai-prompt-skill
Clone the repo
git clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skill

Made for: Claude Code.

Wrote 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.

agentmods badge for higgsfield

README.md
[![agentmods](https://agentmods.dev/badge/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-ai-prompt-skill/github.svg)](https://agentmods.dev/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-ai-prompt-skill)
Your own site
<a href="https://agentmods.dev/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-ai-prompt-skill"><img src="https://agentmods.dev/badge/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-ai-prompt-skill/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.

agentmods 80×15 button for higgsfield

Your own site · 80×15
<a href="https://agentmods.dev/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-ai-prompt-skill"><img src="https://agentmods.dev/badge/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-ai-prompt-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 170 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 12,018 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00170 $0.12018
Opus 5.5 $0.00068 $0.04807
Sonnet 5.5 $0.00034 $0.02404
Haiku 4.5 $0.00017 $0.01202

Measured 3d ago against content hash 94c087914325, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

higgsfield 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.

The scan reads SKILL.md. This mod also ships 14 executable files (scripts/build_index.py, scripts/claims_lint.py, scripts/generate_user_guide.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

SKILL.md · 501 lines

How it starts

The opening of the file, as written. The whole thing — 501 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Higgsfield AI Prompt Skill

Contents

Language rule: Reply in whatever language the user writes in.

Paths: every path in this file (skills/…, templates/…, specs/…, scripts/…, db/…) is relative to the folder this SKILL.md lives in, not to the user's working directory. A path inside any other file is relative to that file's own folder (../../specs/… in a sub-skill climbs back to this one). Two exceptions: workspace/ lives in the user's working directory, and the learning memory may live outside this folder (both in § Working Folders). Sub-skills are plain files, not separately registered skills: nothing loads them for you, so open skills/<name>/SKILL.md yourself.

MCP tools: Higgsfield:<tool> (e.g. Higgsfield:models_explore) means that tool on the Higgsfield MCP server (https://mcp.higgsfield.ai/mcp). Its name in your tool list depends on how it was added — the claude.ai connector shows up in Claude Code as mcp__claude_ai_Higgsfield__<tool> — so match on the Higgsfield server, never on a same-named tool from another server. A bare tool name in a sub-skill means the same.


Read the full file on GitHub · 501 lines

Files

What ships with it

49 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 3d ago Changed · +101 lines · +28 tokens per session 94c087914325
  2. 29d ago Changed · +13 lines · -5 tokens per session 6bb0f88024d4
  3. 1mo ago First seen · 387 lines · 147 tokens per session scan A 584620175fa4

Subscribe to this mod's changes

higgsfield is a skill published in the GitHub repository OSideMedia/higgsfield-ai-prompt-skill (800 stars, last pushed 2d ago), licensed MIT. It adds 170 tokens to every session and 12,018 once invoked, about $0.0007 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.

Related

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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…

Alisa0808/vibe-creating-skill · 187 tokens

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…

NatiDvir/video-skills · 111 tokens

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…

NatiDvir/video-skills · 201 tokens

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"…

NatiDvir/video-skills · 208 tokens

kling-prompter

A prompt-writing guide for Kling 3.0, a video-generation model. It covers short videos, story-driven videos with dialogue or sound, and animating an existing reference image.

cclank/lanshu-awesome-ai-video-kit · 162 tokens

happyhorse-prompter

A tool for writing short prompts for HappyHorse 1.0, an AI video generator that can create video with sound. Its prompts put the main subject first, specify the camera, and describe audible sound when needed.

cclank/lanshu-awesome-ai-video-kit · 116 tokens