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video-prompting

video-prompting is a skill for Claude Code, Codex from Square-Zero-Labs/video-prompting-skill. It costs 152 tokens per session (1,708 once invoked), scanned A, original, Apache-2.0.

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.

In plain words
What is it for?
It is for drafting model-specific video prompts, preparing image-to-video instructions, and creating character-sheet prompts for consistent characters.
Why use it?
It turns a rough idea into instructions suited to the selected video model and helps avoid prompts that omit important visual details.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 187repo 13d ago A scan Socket: passSnyk: passSkillSpector: warn 152 tokens original Apache-2.0

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

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/square-zero-labs/video-prompting-skill/video-prompting
View source ↗ Square-Zero-Labs/video-prompting-skill
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.

agentmods badge for video-prompting

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.

agentmods 80×15 button for video-prompting

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 24 Oct 2026
  • Snyk pass 24 Oct 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00152 $0.01708
Opus 5.5 $0.00061 $0.00683
Sonnet 5.5 $0.00030 $0.00342
Haiku 4.5 $0.00015 $0.00171

Measured 2mo ago against content hash b82b7ece3655, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 2mo 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.

  1. 2mo 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 (187 stars, last pushed 13d ago), licensed Apache-2.0. It adds 152 tokens to every session and 1,708 once invoked, about $0.0006 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.

Creative and mediaData and AIPrompting
Related

video-prompting compared with skills from other repositories

video-prompting next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
video-promptingSquare-Zero-Labs/video-prompting-skillSkill18713d agoApache-2.0A152Claude Code, Codex
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prompt-engineerJeffallan/claude-skillsSkill12k7d agoMITA93Claude Code
prompt-optimizationlangwatch/langwatchSkill5.0kyesterdayApache-2.0A105Claude Code, Codex
omh-model-optimizationrlaope/oh-my-hermesSkill5.2ktodayMITA84Claude Code, Codex
ideogram4digitalsamba/claude-code-video-toolkitSkill2.5ktodayMITA99Claude Code
prompt-library-for-startupsaws/agent-toolkit-for-awsSkill3.4kyesterdayApache-2.0A228Claude Code