higgsfield-image-shots

higgsfield-image-shots is a skill for Claude Code from dsm5e/aso-tracker. It costs 104 tokens per session (4,202 once invoked), scanned A, a copy of higgsfield-image-shots, MIT.

A guide to describing the framing, camera angle, and composition of a single cinematic image in Higgsfield. It explains shot terms such as close-up and extreme wide shot and shows how to use reference images.

In plain words
What is it for?
Writing prompts for image distance, subject size, camera angle, pose, environment, lighting, and reference-image use.
Why use it?
It helps you specify how much of the subject and setting should appear in the frame, reducing ambiguity in image prompts.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is see `../shared/negative-constraints.md`..

Good fit Writing prompts for image distance, subject size, camera angle, pose, environment, lighting, and reference-image use.

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Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/dsm5e/aso-tracker
agentmods
npx agentmods add skills/dsm5e/aso-tracker/higgsfield-image-shots

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-image-shots

README.md
[![agentmods](https://agentmods.dev/badge/skills/dsm5e/aso-tracker/higgsfield-image-shots/github.svg)](https://agentmods.dev/skills/dsm5e/aso-tracker/higgsfield-image-shots)
Your own site
<a href="https://agentmods.dev/skills/dsm5e/aso-tracker/higgsfield-image-shots"><img src="https://agentmods.dev/badge/skills/dsm5e/aso-tracker/higgsfield-image-shots/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-image-shots

Your own site · 80×15
<a href="https://agentmods.dev/skills/dsm5e/aso-tracker/higgsfield-image-shots"><img src="https://agentmods.dev/badge/skills/dsm5e/aso-tracker/higgsfield-image-shots.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,202 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 94% 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 $0.00104 $0.04202
Opus 5 $0.00052 $0.02101
Sonnet 5 $0.00021 $0.00840
Haiku 4.5 $0.00010 $0.00420

Measured 12d ago against content hash 20da6605c995, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

higgsfield-image-shots 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 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.

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

94% identical to higgsfield-image-shots — 18 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-image-shots/SKILL.md · 445 lines

How it starts

The opening of the file, as written. The whole thing — 445 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Higgsfield Cinematic Image Prompting

This skill covers still image shot composition — framing, angles, and implied camera movement for AI image generation. Use these keywords and patterns when building prompts for any Higgsfield image model.

Key difference from video camera controls: These are composition directives for a single frame. The [img 1] token references a Soul ID character or uploaded reference image. Replace it with your character description or @ Element when no reference image is used.


How to Use This Reference

Every entry has:

  • Shot/Movement — the cinematography term
  • AI Prompt Keyword — the exact words to put in your image prompt
  • Purpose — what emotional/compositional effect it creates
  • Prompt Example — a ready-to-adapt prompt phrase

Prompt pattern for image generation:

[Shot keyword] of [img 1 or character description] + [pose/action] + [environment detail] + [lighting/atmosphere]

Distance & Size — Shot Framing

These control how much of the subject fills the frame and how much environment is visible. Choose based on whether the image is about the world, the character, or a detail.

Extreme Wide Shot (EWS)

AI Prompt Keyword: EWS, Vast, Landscape Definition: The subject is barely visible; emphasizes the vast landscape or location. Purpose: Establish vastness, show isolation, or emphasize scale. Prompt Example:

Extreme wide shot of [img 1] standing alone in a vast, empty frozen tundra.
The subject is small in the distance, surrounded by massive snowy mountains.
Cinematic lighting

Wide Shot (WS) / Long Shot

AI Prompt Keyword: Wide Shot, Full Body Definition: Shows the full subject within their environment. Purpose: Provide context and spatial awareness. Prompt Example:

Wide shot of [img 1] standing full body in a snowstorm. She is wearing fur armor,
boots visible, centered in a snowy forest clearing. Environmental context.

Read the full file on GitHub · 445 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. 12d ago First seen · 445 lines · 104 tokens per session scan A 20da6605c995

Subscribe to this mod's changes

higgsfield-image-shots is a skill published in the GitHub repository dsm5e/aso-tracker (139 stars, last pushed 26d ago), licensed MIT. It adds 104 tokens to every session and 4,202 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to higgsfield-image-shots, differing in 18 lines, and is treated as a copy.

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