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.
git clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skillnpx agentmods add skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-pipelineWrote 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.
[](https://agentmods.dev/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-pipeline)<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/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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00082 | $0.12337 |
| Opus 5.5 | $0.00033 | $0.04935 |
| Sonnet 5.5 | $0.00016 | $0.02467 |
| Haiku 4.5 | $0.00008 | $0.01234 |
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 29d 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.
How it starts
The opening of the file, as written. The whole thing — 1,123 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: Seedance 2.0 / Minimax Hailuo 2.3 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 → Seedance 1.5 Pro (start image + native audio) or Kling Avatars 2.0 (not in the API catalog, 2026-09-26 — verify in the live UI) →
- 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 →
- [FIELD] The edit is a loop with a declared exit: assembly → rough cut → generation supervision (re-generate broken shots here, and only here) → fine cut → picture lock, after which there are no new generations; colour's first job is unifying each generation's baked-in grade →
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.
- 29d ago Changed · +6 lines d12cd74764ef
- 1mo ago First seen · 1,117 lines · 82 tokens per session scan A 229d4cba3cb1
higgsfield-pipeline is a skill published in the GitHub repository OSideMedia/higgsfield-ai-prompt-skill (800 stars, last pushed 2d ago), licensed MIT. It adds 82 tokens to every session and 12,337 once invoked, about $0.0003 per session on Opus 5.5. 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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