higgsfield-workspaces

higgsfield-workspaces is a skill for Claude Code from dsm5e/aso-tracker. It costs 75 tokens per session (3,190 once invoked), scanned A, a copy of higgsfield-workspaces, MIT.

A routing guide for choosing among Higgsfield workspaces, which are production areas for different kinds of video and audio work.

In plain words
What is it for?
Choosing a workspace for cinematic scenes, speaking characters, sketches, short-form content, product ads, narration, voice changes, or translation.
Why use it?
It helps match the workspace to the intended result before choosing a model or production method.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Good fit Choosing a workspace for cinematic scenes, speaking characters, sketches, short-form content, product ads, narration, voice changes, or translation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dsm5e/aso-tracker/higgsfield-workspaces
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 dsm5e/aso-tracker --skill higgsfield-workspaces
Clone the repo
git clone --depth 1 https://github.com/dsm5e/aso-tracker

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-workspaces

README.md
[![agentmods](https://agentmods.dev/badge/skills/dsm5e/aso-tracker/higgsfield-workspaces.svg)](https://agentmods.dev/skills/dsm5e/aso-tracker/higgsfield-workspaces)
Your own site
<a href="https://agentmods.dev/skills/dsm5e/aso-tracker/higgsfield-workspaces"><img src="https://agentmods.dev/badge/skills/dsm5e/aso-tracker/higgsfield-workspaces.svg" alt="Measured on agentmods" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,190 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 92% 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00075 $0.03190
Opus 5 $0.00037 $0.01595
Sonnet 5 $0.00015 $0.00638
Haiku 4.5 $0.00007 $0.00319

Measured 8d ago against content hash dbe6094d829d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

higgsfield-workspaces 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 8d 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.

Origin

This is a copy

92% identical to higgsfield-workspaces — 49 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.

aso-video/docs/higgsfield-prompts/skills/higgsfield-workspaces/SKILL.md · 277 lines

How it starts

The opening of the file, as written. The whole thing — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Higgsfield Workspaces — Task-First Decision Layer

Introduction

Higgsfield is organized around workspaces, each one tuned for a specific kind of production work. The right starting question is not "which model should I use?" but "what am I actually trying to make?" Inside a workspace, model choice still matters — it shapes quality, speed, and cost — but a workspace mismatch costs more time than a suboptimal model. Pick the workspace by the task, then pick the model by the result you want.


The Decision Matrix

Your production problem Start with workspace
Cinematic scene with deliberate camera direction Cinema Studio
Speaking character, dubbing, or avatar video Lipsync Studio
Rough idea, sketch, or storyboard test Draw to Video / Sketch to Video
Fast short-form or viral-style content Sora 2 Trends
Product ad or ecommerce variation Click to Ad
Narration, voice swap, or translation Higgsfield Audio

If the user's task matches more than one row, pick the workspace whose output most closely resembles the final deliverable — you can always chain into another workspace for polish or audio later.


Workspace Descriptions

Cinema Studio

The professional filmmaking environment on Higgsfield. Built for multi-shot, character-consistent sequences where camera direction, genre framing, and visual cohesion matter. Cinema Studio 2.5 offers optical physics (camera body + lens stack) and built-in color grading; Cinema Studio 3.0 (Business/Team plan) adds native audio, Smart camera planning, and longer durations. Choose this workspace when the work needs to feel like a film. For prompt construction, Director Panel use, optical stack selection, and multi-shot planning, see higgsfield-cinema.

Lipsync Studio

The workspace for putting words into a character's mouth. It pairs an image, video, or generated face with an audio track and synchronizes the lip movement to the speech. Use it for dubbed performances, talking-head avatars, character dialogue, and lipsync work layered on top of existing video generations. For audio layer design (dialogue, SFX, ambient, BGM) that feeds into Lipsync Studio, see higgsfield-audio. For character reference management and Soul Cast avatar generation that commonly sits upstream, see higgsfield-soul.

Read the full file on GitHub · 277 lines

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. 8d ago First seen · 277 lines · 75 tokens per session scan A dbe6094d829d

Subscribe to this mod's changes

higgsfield-workspaces is a skill published in the GitHub repository dsm5e/aso-tracker (135 stars, last pushed 21d ago), licensed MIT. It adds 75 tokens to every session and 3,190 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to higgsfield-workspaces, differing in 49 lines, and is treated as a copy.

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