Generate Video By Seedance
ListedHelps with code generation, video as part of building AI and machine learning applications workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add chunpu/agent-skills --skill generate-video-by-seedance -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
chunpu
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
No undeclared network calls: failed
Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: ark.cn-beijing.volces.com.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
Hosts contacted
ark.cn-beijing.volces.comundeclaredWhat it found (3 of 4)
- skills/generate-video-by-seedance/scripts/generate_video.py:14contacts ark.cn-beijing.volces.com
POST https://ark.cn-beijing.volces.com/api/v3/contents/generations/tasks - skills/generate-video-by-seedance/scripts/generate_video.py:333contacts ark.cn-beijing.volces.com
endpoint = "https://ark.cn-beijing.volces.com/api/v3/contents/generations/tasks" - skills/generate-video-by-seedance/scripts/get_video_task_status.py:14contacts ark.cn-beijing.volces.com
GET https://ark.cn-beijing.volces.com/api/v3/contents/generations/tasks/{task_id}
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned chunpu/agent-skills at 00e289940c.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 00e289940c
- Scanned
- 4 files, 919 lines
About this skill
What it does
This skill generates videos based on a provided seedance. It allows users to create video content from a starting point, likely influencing aspects like style, subject matter, or initial frames. The generated video is produced by an AI model, offering a potentially unique and automated approach to video creation. The specific details of the seedance’s impact on the final video are not detailed in the source.
When to use it
- Creating short promotional videos for social media based on a core concept or visual theme.
- Generating initial drafts of animated content for further refinement.
- Exploring different visual styles and ideas quickly without manual video editing.
- Developing storyboards or mood reels by generating variations from a single seedance.
Key capabilities
- Video generation
- Seedance-based creation
- AI model powered
Example prompts
- "Generate a short video based on the seedance 'a lone tree on a hill at sunset'."
- "Create a video using the seedance 'abstract shapes moving in sync with music'."
- “Can you generate a video from this seedance: ‘futuristic cityscape, neon lights’?”
Tips & gotchas
The quality and relevance of the generated video heavily depend on the clarity and specificity of the provided seedance. Experimentation with different seedances is likely required to achieve desired results.