video-generation

video-generation is a skill for Claude Code, Codex from CamiProject/semantic-deer-flow. It costs 29 tokens per session (1,253 once invoked), scanned A, a copy of video-generation, MIT.

A workflow for creating videos from a structured description, with optional reference images to guide the result. It gathers the subject, visual style, mood, composition, lighting, and technical requirements before generating the video.

In plain words
What is it for?
Use it to plan and generate an AI-made video, including videos guided by a supplied image.
Why use it?
It turns an open-ended video request into an organized prompt and generation process.

Skill for Claude CodeCodex

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

Good fit Use it to plan and generate an AI-made video, including videos guided by a supplied image.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/camiproject/semantic-deer-flow/video-generation
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 CamiProject/semantic-deer-flow --skill video-generation
Clone the repo
git clone --depth 1 https://github.com/CamiProject/semantic-deer-flow

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-generation

README.md
[![agentmods](https://agentmods.dev/badge/skills/camiproject/semantic-deer-flow/video-generation/github.svg)](https://agentmods.dev/skills/camiproject/semantic-deer-flow/video-generation)
Your own site
<a href="https://agentmods.dev/skills/camiproject/semantic-deer-flow/video-generation"><img src="https://agentmods.dev/badge/skills/camiproject/semantic-deer-flow/video-generation/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-generation

Your own site · 80×15
<a href="https://agentmods.dev/skills/camiproject/semantic-deer-flow/video-generation"><img src="https://agentmods.dev/badge/skills/camiproject/semantic-deer-flow/video-generation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,253 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.
Origin 100% copy Near-identical to another mod 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 $0.00029 $0.01253
Opus 5.5 $0.00012 $0.00501
Sonnet 5.5 $0.00006 $0.00251
Haiku 4.5 $0.00003 $0.00125

Measured 1mo ago against content hash 7a5116069ffa, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

video-generation 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 1mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/generate.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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

This is a copy

100% identical to video-generation — 3 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/public/video-generation/SKILL.md · 152 lines

How it starts

The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Video Generation Skill

Overview

This skill generates high-quality videos using structured prompts and a Python script. The workflow includes creating JSON-formatted prompts and executing video generation with optional reference image.

Core Capabilities

  • Create structured JSON prompts for AIGC video generation
  • Support reference image as guidance or the first/last frame of the video
  • Generate videos through automated Python script execution

Workflow

Step 1: Understand Requirements

When a user requests video generation, identify:

  • Subject/content: What should be in the image
  • Style preferences: Art style, mood, color palette
  • Technical specs: Aspect ratio, composition, lighting
  • Reference image: Any image to guide generation
  • You don't need to check the folder under /mnt/user-data

Step 2: Create Structured Prompt

Generate a structured JSON file in /mnt/user-data/workspace/ with naming pattern: {descriptive-name}.json

Step 3: Create Reference Image (Optional when image-generation skill is available)

Generate reference image for the video generation.

  • If only 1 image is provided, use it as the guided frame of the video

Step 3: Execute Generation

Call the Python script:

python /mnt/skills/public/video-generation/scripts/generate.py \
  --prompt-file /mnt/user-data/workspace/prompt-file.json \
  --reference-images /path/to/ref1.jpg \
  --output-file /mnt/user-data/outputs/generated-video.mp4 \
  --aspect-ratio 16:9

Parameters:

  • --prompt-file: Absolute path to JSON prompt file (required)
  • --reference-images: Absolute paths to reference image (optional)
  • --output-file: Absolute path to output image file (required)
  • --aspect-ratio: Aspect ratio of the generated image (optional, default: 16:9)

[!NOTE] Do NOT read the python file, instead just call it with the parameters.

Video Generation Example

User request: "Generate a short video clip depicting the opening scene from "The Chronicles of Narnia: The Lion, the Witch and the Wardrobe"

Read the full file on GitHub · 152 lines

Files

What ships with it

1 file 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. 1mo ago First seen · 152 lines · 29 tokens per session scan A 7a5116069ffa

Subscribe to this mod's changes

video-generation is a skill published in the GitHub repository CamiProject/semantic-deer-flow (21 stars, last pushed 2mo ago), licensed MIT. It adds 29 tokens to every session and 1,253 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to video-generation, differing in 3 lines, and is treated as a copy.

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