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-seedance-vfxWrote 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-seedance-vfx)<a href="https://agentmods.dev/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-seedance-vfx"><img src="https://agentmods.dev/badge/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-seedance-vfx/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-seedance-vfx"><img src="https://agentmods.dev/badge/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-seedance-vfx.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 | $0.00227 | $0.06652 |
| Opus 5.5 | $0.00091 | $0.02661 |
| Sonnet 5.5 | $0.00045 | $0.01330 |
| Haiku 4.5 | $0.00023 | $0.00665 |
Grade A, and why
higgsfield-seedance-vfx 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 1mo 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 — 450 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Higgsfield Seedance VFX — Footage Transformation
This skill is for editing a clip the user already has: keep a real subject and the
real camera move, change only what they ask for. It is the video-to-video sibling of
../higgsfield-seedance/SKILL.md (the general Seedance director). It reuses that skill's
grammar verbatim — the six-slot formula, the Prompt-Craft Laws, the preflight linter —
and adds the transformation layer below. Do not contradict the parent skill; when a shot
needs filter-safety, mode selection, or engine rules, defer to it.
This file is the Seedance 2.0 v2v lane. It stays the right choice when the job needs 4K,
mode=std, or agenrehint. If the plate job is running on Seedance 2.5 — up to 1080p, up to 30 s, many references, platform start/end frames inomni_reference— the lane isomni_referencewith the clip attached as a video reference, and its production doctrine (source ≥ 4 s, duration = source, the four-batch rule, the performance-inheritance clause) lives in../higgsfield-seedance-2-5/VFX-PIPELINE.md.
This skill is a video-to-video layer on top of
../higgsfield-seedance/SKILL.md. Every VFX transform is still a Seedance prompt. This skill only changes the starting point: a real source clip whose subject, performance, and camera move must survive the edit.higgsfield-seedance§ Seedance 2.0 Prompt Modes / Transformation covers the in-clip morph (a character visibly becoming something else in one take); this skill covers preservation-VFX — lock the real plate, layer the effect in.
QUICK FACTS
Routing aids — read the linked sections for the actual rules.
- The one job: preserve everything that makes the source recognizable, change only the named element; repeat the fragile guardrail ("face and identity unchanged") at the end →
- Run it in Seedance 2.0, mode std, 4K — faces, lip-sync and fine detail hold at 4K where they warp at 1080p (
fastcan't do 4K; Cinema Studio caps at 1080p) → @sourcedeclares the clip as the base (not a style ref); add@creature/@elementonly when a real texture keeps getting faked →- Three levels of difficulty: L1 swap the world · L2 change an element in-frame · L3 full handheld cinematic →
- Two modes: add an element to the plate, or replace the environment around a preserved subject →
- Color matching alone looks pasted-in — match key direction, bounce, optics/haze, edges/grounding →
- Photoreal creatures need biological accuracy (wrinkled, cracked, asymmetric, matte — never smooth/glossy/inflated) + a real contact shadow; a reference image beats a description →
- Timed zoom synced to a line: anchor it twice — semantic (
On the line "…") + numeric (At about Ts); seereferences/dialogue-timing.md→ - Prepended-intro budget:
total − intro = surviving windowfor the source performance; recompute on every change → - Generate the transformed start frame first to lock the look before spending video credits; see
references/first-frame.md→ - Output is plain-text English, no markdown inside the prompt, easy to copy →
What ships with it
2 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.
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.
- 1mo ago Changed · +1 lines e8f51bf5ac64
- 1mo ago First seen · 449 lines · 227 tokens per session scan A d54a33a832b4
higgsfield-seedance-vfx is a skill published in the GitHub repository OSideMedia/higgsfield-ai-prompt-skill (800 stars, last pushed 2d ago), licensed MIT. It adds 227 tokens to every session and 6,652 once invoked, about $0.0009 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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