higgsfield-seedance-2-5

higgsfield-seedance-2-5 is a skill for Claude Code from OSideMedia/higgsfield-ai-prompt-skill. It costs 191 tokens per session (9,975 once invoked), scanned A, original, MIT.

A prompt-writing guide for Seedance 2.5, a video-generation model that can create, edit, or extend videos using reference images, video, and audio.

In plain words
What is it for?
Use it to write prompts for text-to-video, reference-guided generation, video editing, and forward or backward video extension.
Why use it?
It helps choose the right generation mode and describe reference roles, exclusions, timing, and end states in the format this model expects.

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 **Seedance 2.0** job — `../higgsfield-seedance/SKILL.md`. See § Choosing 2.0 vs 2.5..

Good fit Use it to write prompts for text-to-video, reference-guided generation, video editing, and forward or backward video extension.

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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-seedance-2-5

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.

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README.md
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Per session 191 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 9,975 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 $0.00191 $0.09975
Opus 5 $0.00096 $0.04987
Sonnet 5 $0.00038 $0.01995
Haiku 4.5 $0.00019 $0.00997

Measured 12d ago against content hash 9d61bac33324, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

higgsfield-seedance-2-5 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-seedance-2-5/SKILL.md · 709 lines

How it starts

The opening of the file, as written. The whole thing — 709 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Higgsfield Seedance 2.5 Director

Seedance 2.5 is a different dialect from Seedance 2.0, not a version bump you can prompt through by habit. 2.0 is a reference-driven shot generator with start/end frames and a 4K lane. 2.5 is an omni-reference production model: up to 50 reference materials, 30-second native runtime, and three non-generation modes — it can edit a video you already have, and extend one forward or backward from its boundary frame.

The prompt grammar changes with it. Reference roles are declared in prose (@Image 1 defines …), audio and text get bracket syntax, long videos are staged with explicit end states, and first/last frames are announced inside the prompt rather than selected as a mode.

Model split — read this before writing anything. 2.5 caps at 720p and has no start_image / end_image media role, no genre hint, and no 4K lane. If the job needs 4K, a genre hint, or platform-level start/end frame pinning, it is a Seedance 2.0 job — ../higgsfield-seedance/SKILL.md. See § Choosing 2.0 vs 2.5.

QUICK FACTS

Generated-checked block (scripts/build_index.py verifies anchors). Routing aids — read the linked sections for the rules themselves.

  • Four modes, picked before writing: t2v · omni_reference · video_edit · video_extension; the mode changes what the prompt is
  • Higgsfield surface: 480p/720p only, duration 4–30s, no start/end-frame role, no genre hint, extension_mode required for (and only for) video_extension
  • video_edit ignores duration and aspect_ratio and bills by the source video's length; video_extension inherits the source's aspect ratio
  • Every reference material gets an explicit role and an exclusion — "what to use" plus "what not to use"; never let the model infer the mapping
  • Each material also declares a fidelity grade — full-preserve / partial-preserve / attribute-transfer (name the target) / loose-guide; beat lines name characters (name + one visible marker), never handles
  • Material budget: 30 images / 10 videos ≤30s total / 10 audio ≤30s total, 50 materials max; stability ranges are 1–8 subjects (images), 1–5 subjects at 5–10s (video/audio)
  • Multi-reference is a 5-step workflow — map → group → profile → select-by-scene, one line per subject; @Images 1 through 4 define four characters is the canonical failure
  • Long videos are staged, not paragraphed: one primary change per stage + an explicit end state; timestamps allocate a budget, they are not frame-accurate edit points
  • Staging fixes too many EVENTS; two incompatible JOBS in one generation (physics + performance) is a separate cut — split into two prompts and stitch
  • Bracket syntax: () music · <> SFX · {} dialogue · 【】 subtitles; non-Chinese dialogue needs a language line before the line
  • First/last frames and multi-keyframes are declared in the prompt (@Image 1 is the first frame) — aspect ratio locks to the first image; never merge the two anchors into one sentence
  • Editing needs a sole editing master + edit scope + Timeline Inheritance; extension needs the boundary frame aligned before any new content: MODE-PLAYBOOKS.md
  • Storyboard grids, coarse-vs-fine blockouts, one-click video, seamless transitions: MODE-PLAYBOOKS.md
  • AI-VFX production pipeline — model-per-asset-class routing, the size-ref frame, location batching, the omni_reference v2v lane (source ≥4s, duration = source), the four-batch rule, the slop catalog: VFX-PIPELINE.md
  • Emotion needs 2–4 observable cues, not adjectives; niche camera terms get translated into a visible result
  • The real-person formula is 7 slots — and slot 1 is role, never age: the age-blind engine rule outranks the source guide's [Age/Race] label
  • Hard limits that must not be over-promised (frame accuracy, locked parameters, pixel-identical transitions)
  • Dreamina-product features that are not on the Higgsfield surface — Ultra Long Video 180s, mark-based editing, Clay Renderer

Read the full file on GitHub · 709 lines

Files

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.

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 · 709 lines · 191 tokens per session scan A 9d61bac33324

Subscribe to this mod's changes

higgsfield-seedance-2-5 is a skill published in the GitHub repository OSideMedia/higgsfield-ai-prompt-skill (531 stars, last pushed 20d ago), licensed MIT. It adds 191 tokens to every session and 9,975 once invoked, about $0.0010 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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