higgsfield-soul-id

higgsfield-soul-id is a skill for Claude Code from MoizIbnYousaf/marketing-cli. It costs 203 tokens per session (1,802 once invoked), scanned C, original, MIT.

A workflow for training a reusable, face-faithful digital character in Higgsfield from a set of photos.

In plain words
What is it for?
Use it to create a reusable face identity for consistent characters, digital twins, brand personas, or later Higgsfield generations.
Why use it?
It avoids having to supply and recreate the same person's identity separately for every later image or video.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: built for openclaw.

Part of the marketing-cli plugin — 90 skills, 9 commands, 1 hook, 2 MCP servers shipped together

Good fit Use it to create a reusable face identity for consistent characters, digital twins, brand personas, or later Higgsfield generations.

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Install with agentmods
npx agentmods add skills/moizibnyousaf/marketing-cli/higgsfield-soul-id
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 MoizIbnYousaf/marketing-cli --skill higgsfield-soul-id
Clone the repo
git clone --depth 1 https://github.com/MoizIbnYousaf/marketing-cli

Made for: Claude Code.

Or install marketing-cli, the plugin that ships this one along with the rest of its 90 skills, 9 commands, 1 hook, 2 MCP servers.

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-soul-id

README.md
[![agentmods](https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/higgsfield-soul-id/github.svg)](https://agentmods.dev/skills/moizibnyousaf/marketing-cli/higgsfield-soul-id)
Your own site
<a href="https://agentmods.dev/skills/moizibnyousaf/marketing-cli/higgsfield-soul-id"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/higgsfield-soul-id/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-soul-id

Your own site · 80×15
<a href="https://agentmods.dev/skills/moizibnyousaf/marketing-cli/higgsfield-soul-id"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/higgsfield-soul-id.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 203 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,802 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 $0.00203 $0.01802
Opus 5 $0.00102 $0.00901
Sonnet 5 $0.00041 $0.00360
Haiku 4.5 $0.00020 $0.00180

Measured 12d ago against content hash 304666c14545, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade C, and why

higgsfield-soul-id 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 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.

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-soul-id/SKILL.md · 154 lines

How it starts

The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/higgsfield-soul-id — Train a Reusable Face Identity

Train a face-faithful Soul Character model. Reusable across all Soul-powered image and video generations in higgsfield-generate.

When to use

  • User wants their face (or a specific person's face) in Higgsfield-generated images/videos
  • "train my soul", "create soul character", "make a digital twin", "brand character training"
  • Setting up a reusable identity before a campaign requiring consistent character appearance
  • The user has 5–20 photos of a face and wants them persisted as a model reference

Route elsewhere if:

  • User just wants a one-shot image with a face reference → higgsfield-generate with --image
  • User wants a fictional/non-photo avatar from a text description → higgsfield-generate with a prompt

On Activation

  1. Read brand/creative-kit.md if present (written by /visual-style) — check for brand character or persona notes.
  2. Ask for the name to assign to the Soul (one word, used for later reference).
  3. Ask for photos (5–20 face photos, local paths or upload UUIDs).
  4. Confirm plan tier: Soul training requires Basic+ plan. Check higgsfield account status.

Optional dependency — Higgsfield account

This skill requires the @higgsfield/cli binary and a Higgsfield account.

Without the CLI installed, return a clear actionable error:

higgsfield CLI not found. Install with:
  curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh
Then authenticate:
  higgsfield auth login

Without an authed Higgsfield account, the CLI itself surfaces the auth prompt — no special handling needed in the skill.

Fallback for image generation only: if the user just needs a one-off image and doesn't have a Higgsfield account, route them to image-gen (Gemini, model gemini-3.1-flash-image-preview, free tier). Soul Character training has no fallback — it requires Higgsfield.

Step 0 — Bootstrap

Before any other command:

  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) and wait for confirmation.
  3. Soul training requires a paid plan (Basic+). If higgsfield account status shows free plan, tell the user before submitting.

Read the full file on GitHub · 154 lines

Files

What ships with it

2 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. 12d ago First seen · 154 lines · 203 tokens per session scan C 304666c14545

Subscribe to this mod's changes

higgsfield-soul-id is a skill published in the GitHub repository MoizIbnYousaf/marketing-cli (31 stars, last pushed today), licensed MIT. It adds 203 tokens to every session and 1,802 once invoked, about $0.0010 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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