higgsfield

higgsfield is a skill for Claude Code from dsm5e/aso-tracker. It costs 147 tokens per session (3,325 once invoked), scanned A, original, MIT.

A guide for creating prompts for Higgsfield AI, a tool that generates videos and images from written instructions. It covers model selection, camera settings, motion presets, and consistent characters.

In plain words
What is it for?
Use it to write or refine Higgsfield prompts, choose among its listed video and image models, set camera movement, use motion presets, and keep a character visually consistent.
Why use it?
It helps avoid outdated or made-up platform terms and gives prompts the details Higgsfield expects. It also routes each request to the relevant guidance before writing a prompt.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Good fit Use it to write or refine Higgsfield prompts, choose among its listed video and image models, set camera movement, use motion presets, and keep a character visually consistent.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dsm5e/aso-tracker/higgsfield-prompts
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-prompts
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

README.md
[![agentmods](https://agentmods.dev/badge/skills/dsm5e/aso-tracker/higgsfield-prompts/github.svg)](https://agentmods.dev/skills/dsm5e/aso-tracker/higgsfield-prompts)
Your own site
<a href="https://agentmods.dev/skills/dsm5e/aso-tracker/higgsfield-prompts"><img src="https://agentmods.dev/badge/skills/dsm5e/aso-tracker/higgsfield-prompts/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/dsm5e/aso-tracker/higgsfield-prompts"><img src="https://agentmods.dev/badge/skills/dsm5e/aso-tracker/higgsfield-prompts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 147 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,325 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 9 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Anti-Refusal · line 33
    Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.
    Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
  • high System Prompt Leakage · line 206
    Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.
    Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
  • medium Agent Snooping · line 32
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium Agent Snooping · line 39
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium Agent Snooping · line 67
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium Agent Snooping · line 80
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium Agent Snooping · line 168
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium Agent Snooping · line 91
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium Agent Snooping · line 257
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
How audits are shown
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 $0.00147 $0.03325
Opus 5 $0.00073 $0.01663
Sonnet 5 $0.00029 $0.00665
Haiku 4.5 $0.00015 $0.00332

Measured 11d ago against content hash ea34c33744b8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, 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 11d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (generate_user_guide.py, higgsfield_memory.py, seedance_lint.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.

aso-video/docs/higgsfield-prompts/SKILL.md · 262 lines

How it starts

The opening of the file, as written. The whole thing — 262 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Higgsfield AI Prompt Skill

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


MANDATORY WORKFLOW — do these in order, every time

For ANY Higgsfield-related request, follow this contract:

  1. Route the request. Match the user's ask to the routing table in the "Route to the Right Skill" section below, and open the matching sub-skill file(s) with the read tool BEFORE writing any prompt or advice. Do not rely on prior knowledge — platform vocabulary, preset names, and model parameters must be read fresh from the skill files, because this platform's lineup changes between releases.
  2. Apply MCSLA (Model · Camera · Subject · Look · Action) to every video prompt unless the user explicitly opts out. Full definition lives in skills/higgsfield-prompt/SKILL.md.
  3. Use named platform vocabulary only. Camera names, motion presets, and style tokens must come from vocab.md or the relevant sub-skill. Do not invent terms the platform doesn't recognize — invented names silently degrade generations without warning.
  4. Append shared negative constraints from skills/shared/negative-constraints.md before delivering any prompt.
  5. On the first Higgsfield response in a conversation, state ONE short line naming which sub-skill you're routing to. Example: "Routing to higgsfield-prompt + higgsfield-camera for a cinematic chase." One line only, then proceed with the work.

HARD RULES (do not skip under any circumstances)

  • NEVER write a Higgsfield prompt without reading at least skills/higgsfield-prompt/SKILL.md first in the current conversation.
  • NEVER substitute generic video-prompt vocabulary for named Higgsfield presets.
  • NEVER skip MCSLA structure on video prompts.
  • NEVER invent model versions, camera presets, or motion preset names. If the user names one you don't see in the skill files, say so and ask for clarification.
  • If you find yourself thinking "I already know how to do this from training" — stop. Read the file. Your training data for this platform is stale.

Read the full file on GitHub · 262 lines

Files

What ships with it

60 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. 11d ago First seen · 262 lines · 147 tokens per session scan A ea34c33744b8

Subscribe to this mod's changes

higgsfield is a skill published in the GitHub repository dsm5e/aso-tracker (137 stars, last pushed 25d ago), licensed MIT. It adds 147 tokens to every session and 3,325 once invoked, about $0.0007 per session on Opus 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.

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