higgsfield-pipeline

higgsfield-pipeline is a skill for Claude Code from OSideMedia/higgsfield-ai-prompt-skill. It costs 82 tokens per session (11,920 once invoked), scanned A, original, MIT.

A step-by-step workflow for producing multi-shot videos in Higgsfield, an AI media-generation platform. It links scene planning, image creation, animation, character replacement, lip-sync, motion, upscaling, and final assembly.

In plain words
What is it for?
It helps build short films, branded video series, and other multi-scene projects from an initial concept through scene breakdown, generation, review, fixes, and assembly.
Why use it?
It helps keep characters, visuals, and story details consistent when a project contains several connected shots and tools.

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 `../higgsfield-assist/SKILL.md`. For upstream project.

Good fit It helps build short films, branded video series, and other multi-scene projects from an initial concept through scene breakdown, generation, review, fixes, and assembly.

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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/OSideMedia/higgsfield-ai-prompt-skill
agentmods
npx agentmods add skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-pipeline

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-pipeline

README.md
[![agentmods](https://agentmods.dev/badge/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-pipeline/github.svg)](https://agentmods.dev/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-pipeline)
Your own site
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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-pipeline

Your own site · 80×15
<a href="https://agentmods.dev/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-pipeline"><img src="https://agentmods.dev/badge/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 11,920 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 pass 7 Sept 2026
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 $0.00082 $0.11920
Opus 5 $0.00041 $0.05960
Sonnet 5 $0.00016 $0.02384
Haiku 4.5 $0.00008 $0.01192

Measured 12d ago against content hash 229d4cba3cb1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

higgsfield-pipeline 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.

skills/higgsfield-pipeline/SKILL.md · 1,117 lines

How it starts

The opening of the file, as written. The whole thing — 1,117 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Higgsfield Production Pipeline

QUICK FACTS

Generated-checked block (scripts/build_index.py verifies anchors). Read the linked sections for full context — these lines are routing aids, not the rules themselves.

  • 8-stage Master Chain: Popcorn → Seedream/Soul → Animate → Recast → Lipsync → Vibe Motion → Upscale → Assemble; most good short-form uses 3–5 stages
  • Lock 9 project fields before touching any tool; "what must stay consistent" is the load-bearing one
  • One job per scene — six scene purposes; a good scene prompt answers six questions
  • 7 reusable prompt-module types: character identity, camera, lighting, style, motion, negative prompt, continuity
  • 80% rule: keep what worked, fix only the mistake; every diagnosed failure becomes a new negative rule
  • Build in 8 passes: Concept → Project script → Scene breakdown → Shot list → Image prompts → Video prompts → Review → Fix
  • Use the EXACT same character description (copy-paste) in every Popcorn prompt — continuity without Soul ID
  • Seedream edits the image, not the video — always edit the Hero Frame before animating, never after
  • Model by scene type: Sora 2 for stunts/epic ("one continuous shot, no cuts"), Kling 2.6 portraits, Seedance quiet interiors
  • Recast swaps identity while preserving motion, camera, and lighting; the "prompt" is the reference image you upload
  • Audio routing: existing video + speech → Lipsync Studio; new content with audio → Kling 3.0; talking head → Kling Avatars 2.0
  • Higgsfield has no native timeline editor — assemble in DaVinci Resolve / Premiere / CapCut
  • Pipeline E hard rules: 15-second cap per scene, one generation per style, feed the previous scene's video as continuity reference
  • Soul Cinema keyframes: deliberately short 5–15 word prompts with enhancer ON — long prompts starve the enhancer
  • Never describe character age in Seedance prompts; >15s per scene degrades prompt adherence — split the scene
  • No extend button: attach the accepted clip as a video reference + open with "The scene continues." — and match the source's resolution AND duration
  • Cap seamless extension chains at 2 (hard ceiling 3); re-anchor from ORIGINAL canonical refs, break chains with B-roll
  • An attached source clip carries the state — prompt only the delta; motion vectors, camera-move phase, audio phase stay in prose when handing off from a still frame
  • End extension prompts on a camera-angle change so the join reads as coverage; plan transitions ahead (last-channel-on-TV trick)
  • Draw a top-down schema when 2+ characters, a key prop placement, or complex camera geometry — prompt in absolute terms ("A 2m from B")
  • Never animate a "good enough" image; if the character looks wrong in the Hero Frame, Recast is the fix — not the animation prompt

Read the full file on GitHub · 1,117 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 · 1,117 lines · 82 tokens per session scan A 229d4cba3cb1

Subscribe to this mod's changes

higgsfield-pipeline is a skill published in the GitHub repository OSideMedia/higgsfield-ai-prompt-skill (531 stars, last pushed 20d ago), licensed MIT. It adds 82 tokens to every session and 11,920 once invoked, about $0.0004 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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