higgsfield-generate

higgsfield-generate is a skill for Claude Code from OpenCoven/coven. It costs 313 tokens per session (2,968 once invoked), scanned C, original, MIT.

A command-line workflow for generating images and videos with Higgsfield AI, a service that provides multiple media-generation models and a branded-ad workspace.

In plain words
What is it for?
Use it to make images, videos, branded advertisements, avatar-based media, or product-based media, then wait for the generated result and return its link.
Why use it?
It gives one workflow for submitting generation jobs across those models and for creating branded ads with avatars or products. It also checks that the command-line tool is installed and signed in.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to make images, videos, branded advertisements, avatar-based media, or product-based media, then wait for the generated result and return its link.

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Install with agentmods
npx agentmods add skills/opencoven/coven/higgsfield-generate
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 OpenCoven/coven --skill higgsfield-generate
Clone the repo
git clone --depth 1 https://github.com/OpenCoven/coven

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-generate

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/opencoven/coven/higgsfield-generate"><img src="https://agentmods.dev/badge/skills/opencoven/coven/higgsfield-generate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 313 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,968 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 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 $0.00313 $0.02968
Opus 5 $0.00156 $0.01484
Sonnet 5 $0.00063 $0.00594
Haiku 4.5 $0.00031 $0.00297

Measured 10d ago against content hash 89dec657c506, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, 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 10d 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
skills/higgsfield-generate/SKILL.md · 205 lines

How it starts

The opening of the file, as written. The whole thing — 205 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 gen and Marketing Studio (branded ads, avatars, products).

Step 0 — Bootstrap

Before any other command, make sure the CLI is installed and authenticated:

  1. If higgsfield is not on $PATH, install it:
    curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh
    
  2. If higgsfield account status fails with Session expired / Not authenticated, ask the user to run higgsfield auth login (interactive, opens a browser) and wait for them to confirm before continuing.

Skip both checks if higgsfield account status already prints account info.

UX Rules

  1. Be concise. No raw IDs, no JSON dumps in chat. Print result URL when ready.
  2. No internal jargon. Don't narrate "calling higgsfield cost", "polling job".
  3. Detect the user's language from the first message and reply in it. Technical args (--aspect_ratio 16:9) stay English.
  4. Don't batch-ask. Pick a sane default model and ask one thing at a time only if genuinely missing.
  5. Don't pre-estimate cost. Just submit unless the user asks.
  6. Pass --wait to generate create so the command blocks until done and prints the result URL itself. Avoid the two-step createwait pattern.

Workflow — generic generation

  1. Pick a model. Practical defaults from production use:

    Image:

    • Brand product visual (Pinterest pin, lifestyle, hero banner, ad pack, virtual try-on) → use higgsfield-product-photoshoot instead. NOT this skill.
    • Branded ad image with avatar + product (Marketing Studio shape) → Marketing Studio Image (see Marketing Studio below)
    • Aesthetic UGC / fashion editorial / lifestyle character → Soul 2.0
    • Cinematic still frame → Soul Cinema
    • Highly characterful creative persona (text-only, distinctive) → Soul Cast
    • Locations / environments / no-people scenes → Soul Location (best in class)
    • Vector illustrations OR face edit + complex scene swap → Seedream 4.5
    • Soul Character (reference id from higgsfield-soul-id) → Soul 2.0 for stills, Soul Cinema for cinematic
    • Fast and cheap iteration → Z Image
    • Character or cartoon-style work → Nano Banana 2; step up to Nano Banana Pro on hard cases
    • Default for everything else → GPT Image 2. Graphic design, UI, banners, typography, and high-fidelity general generation.

Read the full file on GitHub · 205 lines

Files

What ships with it

8 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. 10d ago First seen · 205 lines · 313 tokens per session scan C 89dec657c506

Subscribe to this mod's changes

higgsfield-generate is a skill published in the GitHub repository OpenCoven/coven (47 stars, last pushed today), licensed MIT. It adds 313 tokens to every session and 2,968 once invoked, about $0.0016 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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