higgsfield-seedance

higgsfield-seedance is a skill for Claude Code from OSideMedia/higgsfield-ai-prompt-skill. It costs 100 tokens per session (23,049 once invoked), scanned A, original, MIT.

A prompt-writing guide for Seedance 2.0 and Seedance Pro, video-generation systems that create shots from text and references. It rewrites scene descriptions using camera, subject, action, setting, style, and lighting.

In plain words
What is it for?
Use it to write prompts for reference-based shots, continuations, shot expansions, edits, and transformations. It also helps check prompts before generation and handle content-filter rejections.
Why use it?
It helps diagnose rejected or weak generations by separating prompt problems from infrastructure or complexity problems. It also gives a consistent structure for describing motion, references, camera direction, and visual detail.

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 `bilingual-JSON` profiles (`../../docs/Seedance 2 Skill.md`) obey the same.

Good fit Use it to write prompts for reference-based shots, continuations, shot expansions, edits, and transformations. It also helps check prompts before generation and handle content-filter rejections.

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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

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-seedance

README.md
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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.

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Per session 100 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 23,049 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 $0.00100 $0.23049
Opus 5 $0.00050 $0.11525
Sonnet 5 $0.00020 $0.04610
Haiku 4.5 $0.00010 $0.02305

Measured 12d ago against content hash e5d4b757821e, 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 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

Copies of this mod

1 near-identical copy found in the catalogue:

skills/higgsfield-seedance/SKILL.md · 2,009 lines

How it starts

The opening of the file, as written. The whole thing — 2,009 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Higgsfield Seedance Director

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.

  • The filter is an LLM reading full-scene intent, not a keyword blacklist — describe a SCENE, not a subject; fix the voice first
  • Instant fail (<10s) = filter rejection; delayed fail (>30s) = infra/complexity — never regenerate an instant fail unchanged
  • Six slots, in order: Camera + Subject + Action + Setting + Style + Lighting; missing 3+ slots is where flags come from
  • Empirical prompt-craft laws: 50–80-word attention sweet spot (front-load the load-bearing element), name a director/lens not "cinematic", "fast" degrades motion, no negative prompts in the body, unidirectional motion chains + named camera endpoint + detail scale follows shot size
  • Five prompt modes: Reference-Based / Continuation / Expand Shot / Edit Shot / Transformation — pick the mode before writing
  • [OFFICIAL] block scaffold for production prompts: SCENE CONTEXT → … → POSITIVE LOCKS, distributed style on standalone briefs (connected shotlists glue the compiled Style Prefix verbatim instead), FOV in degrees only, CAMERA block 3rd, cut ladder oner / CUT n / timed / freestyle
  • [FIELD] 13-project corpus calibration: word length scales with register (218w → 2,059w medians — the 50–80w sweet spot is single-shot-only), video briefs hand-authored (enhance_prompt off), Style Prefix = per-project constant compiled into home blocks
  • [FIELD] Three "helpful-instinct" drift sources, each with a standing lock: environment invention (#1, above character drift), character-height equalization, scale drift on wides
  • Build-safe construction for crowds/destruction/creatures: evacuated cities, contained fights ("stays at the sea surface"), the safe benchmark scene
  • Extend an existing clip: attach it as a video reference + open with "The scene continues." — match source resolution AND duration; chain cap ~2 (hard 3), then re-anchor from ORIGINAL references
  • This file is Seedance 2.0. For 2.5 — four modes incl. video_edit / video_extension, 4–30s, 30/10/10 references, in-prompt first-last frames, 720p ceiling — use ../higgsfield-seedance-2-5/SKILL.md
  • Tutorial-demonstrated patterns (reference-role vocabulary incl. VARIETY reference, SCREEN REALISM + duration-match composites, 60:30:10 grade, red-arrow prop annotation): PRODUCTION-PATTERNS.md in this directory
  • [OFFICIAL] Feature-film pipeline (asset construction, per-scene GEO SPATIAL LAYOUT, the position-fixing first second, dialogue construction, ban dictionary, the 10–15 iteration rule, crowds / giants / thresholds): HELL-GRIND.md in this directory
  • Performance — objective, obstacle, tactics, beats, subtext, eye life, the acting master profile: ../higgsfield-acting/SKILL.md
  • Hard engine rules (age-blind, exit-frame = cut, off-screen = nonexistent, no reflections, ≤3 tracked characters, double-contrast cuts) + high-risk shot table: ENGINE-RULES.md in this directory
  • Reference roles: Character / Last-Frame / Environment / Prop — role determines what the prompt may re-describe
  • Working modes: Exploration / Continuation / Bridging / Repair (distinct from prompt modes)
  • Layer 1 briefing vs Layer 2 production prompt — never paste Layer 1 into the prompt box
  • Native 4K is available in mode=std only; mode=fast (Seedance 2.0 Fast) caps at 480p/720p — in Cinema Studio the model is still capped at 1080p
  • Always preflight: python3 scripts/seedance_lint.py --preflight --model seedance_2_0 "<prompt>" — enums come from ../../specs/model-specs.json (fast+1080p/4K and Kling 21:9 are auto-caught)
  • 480p drafts validate the prompt, NOT the take — no seed param; pin Hero Frame + start/end frames to carry a look
  • ZH prompts: hard 1,800-char cap; ZH antislop list enforced by the linter
  • Flagged prompt → rewrite playbook per linter rule, then voice pass
  • Repeated flags → full loop-breaker procedure + LOG THE OUTCOME (--confirmed / add-quality)

Read the full file on GitHub · 2,009 lines

Files

What ships with it

4 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 · 2,009 lines · 100 tokens per session scan A e5d4b757821e

Subscribe to this mod's changes

higgsfield-seedance is a skill published in the GitHub repository OSideMedia/higgsfield-ai-prompt-skill (531 stars, last pushed 20d ago), licensed MIT. It adds 100 tokens to every session and 23,049 once invoked, about $0.0005 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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