Borrowing it
Nothing to install: this file belongs to alecs5am/ralphy. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/alecs5am/ralphy/main/.agents/skills/seedance-prompts/SKILL.mdgit clone --depth 1 https://github.com/alecs5am/ralphyWrote 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/alecs5am/ralphy/seedance-prompts)<a href="https://agentmods.dev/skills/alecs5am/ralphy/seedance-prompts"><img src="https://agentmods.dev/badge/skills/alecs5am/ralphy/seedance-prompts/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/alecs5am/ralphy/seedance-prompts"><img src="https://agentmods.dev/badge/skills/alecs5am/ralphy/seedance-prompts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high System Prompt Leakage · line 11 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
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 | $0.00335 | $0.06744 |
| Opus 5 | $0.00168 | $0.03372 |
| Sonnet 5 | $0.00067 | $0.01349 |
| Haiku 4.5 | $0.00034 | $0.00674 |
Grade B, and why
seedance-prompts scanned grade B with 1 finding 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 11d 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.
Asks the agent to reveal its instructionsmediumSystem prompt leakage
Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.
the output prompt is fed to `ralphy generate video --model bytedance/seedance-2.0`, never to a provider API directly. How it starts
The opening of the file, as written. The whole thing — 561 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Seedance 2.0 Video Prompt Writing Guide
Ralphy integration (read first)
- All generation routes through
ralphy generate video --model bytedance/seedance-2.0(AGENTS.md invariants #1/#2). Never call the Jimeng/ByteDance platform or any provider API directly. References go on the CLI as--ref <path>(order maps to@Image1,@Image2, … in the prompt). - Check
MODELS.mdbefore committing to seedance — model picks drift; training memory is stale. - Known repo-validated constraints (project memory, 2026-05):
- Seedance's compliance filter blocks photoreal human i2v anchors even when AI-generated — use
kwaivgi/kling-v3.0-profor any human-anchored i2v. - Seedance is the pick for horror / POV / walking / jump-scares / non-default physics motion; Kling stays the default for UGC selfie registers.
- For stylized video extension, i2v-anchor from the last frame and use full 15s blocks with a moving camera (memory:
feedback_seedance_multiblock_i2v_extend).
- Seedance's compliance filter blocks photoreal human i2v anchors even when AI-generated — use
Description
You are an expert prompt engineer for Seedance 2.0, ByteDance's multimodal AI video generation model. Your role is to help users craft precise, effective prompts that produce high-quality AI-generated videos. You understand the model's capabilities, input constraints, referencing syntax, and best practices for camera work, storytelling, sound design, and visual effects.
System Constraints
Input Limits
| Input Type | Limit | Format | Max Size |
|---|---|---|---|
| Images | ≤ 9 | jpeg, png, webp, bmp, tiff, gif | 30 MB each |
| Videos | ≤ 3 | mp4, mov | 50 MB each, total duration 2–15s |
| Audio | ≤ 3 | mp3, wav | 15 MB each, total duration ≤ 15s |
| Text | Natural language prompt | — | — |
| Total files | ≤ 12 combined | — | — |
Output
- Video duration: 4–15 seconds (user-selectable)
- Includes auto-generated sound effects / background music
- Resolution range: 480p (640×640) to 720p (834×1112)
Restrictions
- No realistic human faces in uploaded images/videos (platform compliance). The system will block such uploads.
- When using reference videos, generation cost is slightly higher.
- Prioritize uploading materials that most influence visuals or rhythm.
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.
- 11d ago First seen · 561 lines · 335 tokens per session scan B e0369c359931
seedance-prompts is a skill published in the GitHub repository alecs5am/ralphy (133 stars, last pushed yesterday), licensed Apache-2.0. It adds 335 tokens to every session and 6,744 once invoked, about $0.0017 per session on Opus 5. A static security scan graded it B with 1 finding (asks the agent to reveal its instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
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higgsfield-seedance
Rewrites scene descriptions using professional cinematography language, structures prompts with a six-slot formula (camera + subject + action + setting + style + lighting), and diagnoses content filter rejections via a preflight linter. Use whenever the user asks for a Seedance 2.0 / Seedance Pro prompt, describes a…
higgsfield-acting
Writes the character-performance layer of a video prompt as behavior under pressure, not displayed emotion — objective, obstacle, tactics, beats, subtext, listening, body/status/proxemics, and mandatory eye life. Produces a reusable 150–220-word acting master profile per character plus a per-scene rewrite of it, and a…
higgsfield-prompt
Use when building, writing, refining, or structuring a Higgsfield AI prompt. Covers the MCSLA formula, prompt structure, narrative vs. timestamped formats, and how to write for both text-to-video and image-to-video workflows.
higgsfield-seedance-2-5
Seedance 2.5 prompt director — the omni-reference dialect. Routes the four generation modes (t2v / omnireference / videoedit / videoextension), writes explicit @Image/@Video/@Audio reference roles with exclusions, stages 30-second videos into end-state beats, and covers video editing, forward/backward extension…
higgsfield
Use this skill whenever the user asks anything about Higgsfield AI — writing or refining video/image prompts, choosing a model (Kling, Sora 2, Veo, Wan, Seedance, Minimax Hailuo, DoP, Soul, Nano Banana, Seedream, Flux, GPT Image, etc.), camera controls, named motion presets, Soul ID character consistency, Cinema…