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-seedanceWrote 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)<a href="https://agentmods.dev/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-seedance"><img src="https://agentmods.dev/badge/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-seedance/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"><img src="https://agentmods.dev/badge/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-seedance.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 | $0.00100 | $0.24667 |
| Opus 5.5 | $0.00040 | $0.09867 |
| Sonnet 5.5 | $0.00020 | $0.04933 |
| Haiku 4.5 | $0.00010 | $0.02467 |
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 3d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- higgsfield-seedance — 86% identical, 761 lines differ
How it starts
The opening of the file, as written. The whole thing — 2,077 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_promptoff), 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, first-last frames inomni_reference, up to 1080p (no 4K, no genre) — 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.mdin 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.mdin 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.mdin this directory - Render failures (the take came back wrong, not flagged) — 15 named failures with symptom · mechanism · counter, incl. action-reversal fill, filler-babble, truncated action, mimed manipulation, orphan limbs / the solo third hand, walking + cross-shot camera speed, fights as separate clips — plus a self-repair checklist:
FAILURE-MODES.mdin this directory - [FIELD] Bake it into the asset: a property that drifts however well it is written (a lens character, a grain, a colour cast) moves one step earlier, into the plate — then, in one studio's practice, leaves the video prompt entirely (OPEN: Hell Grind keeps the look in the prompt too, P2-6); bake only what should stay constant →
- [FIELD] Depth map as a reference role — greyscale, light = near; a geometry input that stops a space re-planning itself between shots, carries no style →
- Contested doctrine (character-text volume with a reference attached, anamorphic words vs a baked plate,
NO BGMvsNo music., the stop numbers) is recorded — not silently resolved — in../shared/house-rulings.md; label meanings in../shared/provenance.md - 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=stdonly;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) →
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.
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.
- 3d ago Changed 9ab72a1e8fe7
- 29d ago Changed · +68 lines fe479dbcc976
- 1mo ago First seen · 2,009 lines · 100 tokens per session scan A e5d4b757821e
higgsfield-seedance is a skill published in the GitHub repository OSideMedia/higgsfield-ai-prompt-skill (800 stars, last pushed 2d ago), licensed MIT. It adds 100 tokens to every session and 24,667 once invoked, about $0.0004 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.
Other skills, from other repositories
vibe-creating-prompt
Judges whether a user's input suits the Vibe Creating style of video-prompt writing, and when it does, distills single-scene prompts, multi-shot descriptions, emotional imagery, or mixed input into prompts that are easier for a video model to generate from — while preserving any user-specified dialogue, voiceover…
seedance-cinematic-film
Write photorealistic live-action cinematic Seedance 2.0 prompts for Higgsfield, built on five grounding pillars that stop AI drift and floaty motion. Use for "cinematic film prompt", "shot like a movie", realistic body movement, grounded motion, restrained emotional close-ups, driving scenes, fight choreography…
director-cinematography
Virtual director and cinematographer for AI-generated short videos using Higgsfield. Takes a script, scene, or creative idea and produces a shot-by-shot visual direction plan with ready-to-paste Higgsfield prompts — camera presets, lenses, lighting, color grading, and motion directives for every shot. Channels 11…
seedance-prompt-builder
Write production-ready Seedance 2.0 prompts (image, video, and motion/edit) for Higgsfield. Use this skill whenever the user wants a single Seedance prompt rather than a full shotlist — e.g. "make a Seedance prompt for X", "write me a video prompt", "restyle this clip", "turn my photo into a character sheet"…
kling-prompter
A prompt-writing guide for Kling 3.0, a video-generation model. It covers short videos, story-driven videos with dialogue or sound, and animating an existing reference image.
happyhorse-prompter
A tool for writing short prompts for HappyHorse 1.0, an AI video generator that can create video with sound. Its prompts put the main subject first, specify the camera, and describe audible sound when needed.