What is higgsfield-generate?

An image, video, 3D asset, or audio generator that submits jobs to Higgsfield AI models.

Use it to make images, videos, animations, 3D assets, audio, branded ads, avatars, product visuals, or to score videos for virality.

It lets an agent create media without manually handling the different Higgsfield models and commands.

higgsfield-generate — Skill for Claude Code and Codex by isaacsight: An image, video, 3D asset, or audio generator that…

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.

agentmods

npx agentmods add skills/isaacsight/kernel/higgsfield-generate

Any agent

npx skills add isaacsight/kernel --skill higgsfield-generate

Clone the repo

git clone --depth 1 https://github.com/isaacsight/kernel

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/isaacsight/kernel/higgsfield-generate.svg)](https://agentmods.dev/skills/isaacsight/kernel/higgsfield-generate)

Your own site

<a href="https://agentmods.dev/skills/isaacsight/kernel/higgsfield-generate"><img src="https://agentmods.dev/badge/skills/isaacsight/kernel/higgsfield-generate.svg" alt="Measured on agentmods" height="20"></a>

Per session 280 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 5,974 The whole file, excluding the scripts and references it only reads on demand.

Security scan C 2 findings. Scan, not verified.

Origin 91% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5	$0.00280	$0.05974
Opus 5	$0.00140	$0.02987
Sonnet 5	$0.00056	$0.01195
Haiku 4.5	$0.00028	$0.00597

Measured 4d ago against content hash b48249e9a0ce, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

higgsfield-generate scanned grade C with 2 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.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh

Origin

This is a copy

91% identical to higgsfield-generate — 26 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/higgsfield-generate/SKILL.md · 322 lines

How it starts

The opening of the file, as written. The whole thing — 322 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Higgsfield Generate

Submit jobs to any Higgsfield model. Wraps the higgsfield CLI. Covers generic image/video/3D/audio generation, Marketing Studio (branded ads, avatars, products, hooks, settings), and, secondarily, Virality Predictor video scoring.

Step 0 — Bootstrap

Before any other command:

If higgsfield is not on $PATH, install it:

curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh

If higgsfield account status fails with Session expired / Not authenticated, ask the user to run higgsfield auth login (interactive) and wait for confirmation.

UX Rules

Be concise. No raw IDs, no JSON dumps in chat. Print the media URL for generated assets, or the text summary for Virality Predictor.
No internal jargon. Don't narrate "calling higgsfield cost", "polling job".
Detect the user's language from the first message and reply in it. Technical args (--aspect_ratio 16:9) stay English.
Don't batch-ask. Pick a sane default model and ask one thing at a time only if genuinely missing.
Don't pre-estimate cost or optimize for cheaper models unless the user asks. Prefer the quality default first.
Pass --wait to generate create so the command blocks until done and prints the result URL itself. Avoid the two-step create → wait pattern.

Discovery guardrail

When looking for a Higgsfield feature/model, do not rely only on semantic search or CLI --help. First run an unfiltered model list, then inspect likely job_set_type names. If the user says a model exists but search returns no results, trust that signal and verify with the full model list before answering.

Workflows are separate from models. Discover them with higgsfield workflow list and inspect params with higgsfield workflow get <workflow_name>.

Virality Predictor is exposed as:

Customer-facing name: Virality Predictor
Technical job_set_type: brain_activity
Category/output: text report. This is video-in/text-out analysis, not a text/chat generation model.
Input: uploaded video
Purpose: finished-video hook, attention, retention, and virality analysis

Read the full file on GitHub · 322 lines

Files

What ships with it

12 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.

4d ago First seen · 322 lines · 280 tokens per session scan C b48249e9a0ce

Subscribe to this mod's changes

higgsfield-generate is a skill published in the GitHub repository isaacsight/kernel (16 stars, last pushed 5d ago), licensed MIT. It adds 280 tokens to every session and 5,974 once invoked, about $0.0014 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). It is 91% identical to higgsfield-generate, differing in 26 lines, and is treated as a copy.

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higgsfield-generate