What is video-prompting?

A guide for writing prompts for video-generation models, which create video from text, images, keyframes, or references. It also covers character sheets, reference images that help keep a character consistent across scenes.

It is for drafting model-specific video prompts, preparing image-to-video instructions, and creating character-sheet prompts for consistent characters.

It turns a rough idea into instructions suited to the selected video model and helps avoid prompts that omit important visual details.

video-prompting — Skill for Claude Code and Codex by Square-Zero-Labs

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add Square-Zero-Labs/video-prompting-skill --skill video-prompting

Clone the repo

git clone --depth 1 https://github.com/Square-Zero-Labs/video-prompting-skill

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/square-zero-labs/video-prompting-skill/video-prompting/github.svg)](https://agentmods.dev/skills/square-zero-labs/video-prompting-skill/video-prompting)

Your own site

<a href="https://agentmods.dev/skills/square-zero-labs/video-prompting-skill/video-prompting"><img src="https://agentmods.dev/badge/skills/square-zero-labs/video-prompting-skill/video-prompting/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/square-zero-labs/video-prompting-skill/video-prompting"><img src="https://agentmods.dev/badge/skills/square-zero-labs/video-prompting-skill/video-prompting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 152 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,708 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

Socket pass 12 Apr 2026
Snyk pass 12 Apr 2026
NVIDIA SkillSpector warn 7 Sept 2026

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 100
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.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00152	$0.01708
Opus 5	$0.00076	$0.00854
Sonnet 5	$0.00030	$0.00342
Haiku 4.5	$0.00015	$0.00171

Measured 11d ago against content hash b82b7ece3655, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

video-prompting 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 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.

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.

video-prompting/SKILL.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Video Prompting

Overview

Turn a user’s intent into either:

a strong, model-compliant video prompt, or
a strong image-model prompt for a character sheet that will later support image-to-video consistency.

Model-specific video guidance lives in references/models/. Character-sheet guidance lives in references/workflows/character-sheets.md. This file is the entry point: route to the right path, ask the minimum clarifying questions, then draft the prompt in the expected format.

Model Index

Ovi: references/models/ovi/prompting.md
Veo 3 / 3.1: references/models/veo3/prompting.md
Wan 2.2: references/models/wan22/prompting.md
Wan Animate 2: references/models/wan-animate-2/prompting.md
Seedance 2.0: references/models/seedance2/prompting.md
Seedance 2.5: references/models/seedance2-5/prompting.md
MiniMax H3: references/models/minimax-h3/prompting.md
LTX-2: references/models/ltx2/prompting.md
LTX-2.3: references/models/ltx2-3/prompting.md
LTX-2.5: references/models/ltx2-5/prompting.md

Workflow Index

Character sheets for consistent characters: references/workflows/character-sheets.md

To add a new model later: create references/models/<model>/prompting.md, then add it to this index.

To add a new workflow later: create references/workflows/<workflow>.md, then add it to the Workflow Index.

Global video-prompt rules

These rules apply to every video model reference:

Never include the model name, model version, duration, aspect ratio, resolution, or API/control parameter names in the final prompt text unless the selected model's required prompt schema explicitly includes timing. MiniMax H3 alignment instructions and shot timestamps are such an exception.
Otherwise, use duration only as internal planning context for how many action beats the prompt can support.
If the user asks for parameters or the model requires them, provide them outside the prompt in a separate recommended-parameters line.
For image-to-video, treat the image as the visual anchor. Do not describe the image in depth unless the user asks for an image analysis or a detail must change. Focus the prompt on motion, camera, emotion/performance, and audio.

Read the full file on GitHub · 110 lines

Files

What ships with it

19 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.

11d ago First seen · 110 lines · 152 tokens per session scan A b82b7ece3655

Subscribe to this mod's changes

video-prompting is a skill published in the GitHub repository Square-Zero-Labs/video-prompting-skill (166 stars, last pushed 17d ago), licensed Apache-2.0. It adds 152 tokens to every session and 1,708 once invoked, about $0.0008 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.

Creative and media Data and AI Prompting

seedance-vocab-en

This skill should be used when an English Seedance 2.0 prompt needs clearer production wording, less generic prose, or precise vocabulary for camera, lighting, motion, VFX, audio, and constraints. Route blocked prompts through seedance-filter for context and boundary review.

Emily2040/seedance-2.0 · 61 tokens

seedance-antislop

This skill should be used when a Seedance 2.0 prompt contains generic AI filler, hollow superlatives, vague cinematic language, bloated adjectives, weak verbs, or needs sharper production-specific wording.

Emily2040/seedance-2.0 · 48 tokens

seedance-examples-ja

This skill should be used when the user asks for Japanese Seedance 2.0 examples, Japanese prompt patterns, example rewrites, or safe versions of working Japanese video-generation prompts.

Emily2040/seedance-2.0 · 43 tokens

seedance-filter

This skill should be used when a Seedance 2.0 prompt is blocked or rejected, when moderation is a suspected cause of a problem, or when the user asks for a content-boundary review or safer alternative. Assess the actual request before offering a clarification.

Emily2040/seedance-2.0 · 57 tokens

seedance-prompt-short

This skill should be used when the user asks for a compact Seedance 2.0 prompt, short Chinese prompt, prompt compression, 30-100 word output, or removal of unnecessary prompt language.

Emily2040/seedance-2.0 · 47 tokens

seedance-vocab-zh

This skill should be used when the user asks for Chinese Seedance 2.0 prompt wording, Mandarin cinematic vocabulary, Chinese prompt compression, or translation of camera, lighting, action, VFX, audio, and production terms into Chinese.

Emily2040/seedance-2.0 · 55 tokens