Seedream Image
ListedGenerates detailed images from text prompts using advanced diffusion models, offering creative visual interpretations.
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 ppdbxdawj/ai-skills --skill seedream-image -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
ppdbxdawj
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 3 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: ark.ap-southeast.bytepluses.com, ark.cn-beijing.volces.com, console.volcengine.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.comundeclaredconsole.volcengine.comundeclaredark.ap-southeast.bytepluses.comundeclaredWhat it found (3 of 5)
- aigc-drama-skills/seedream-image/SKILL.md:271contacts ark.cn-beijing.volces.com
curl -X POST "https://ark.cn-beijing.volces.com/api/v3/images/generations" \ - aigc-drama-skills/seedream-image/generate.py:65contacts console.volcengine.com
print("Get credentials: https://console.volcengine.com/iam/keymanage/") - aigc-drama-skills/seedream-image/generate_ark.py:64contacts console.volcengine.com
print("Get key: https://console.volcengine.com/ark → API Key 管理")
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 ppdbxdawj/seedream-image-skill at bef9a4686f.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- bef9a4686f
- Manifest
- seedream-image/SKILL.md
- Scanned
- 13 files, 2,801 lines
- Copies in repo
- 2 — all of them scanned
About this skill
What it does
The seedream-image skill generates images from textual descriptions. It leverages AI models to create visual representations based on user prompts, allowing for the creation of custom artwork and illustrations. The generated images can be used in various applications, such as content creation or design projects.
When to use it
- Generating marketing visuals: Create unique images for social media campaigns or website banners based on specific branding guidelines.
- Illustrating blog posts: Produce custom graphics to accompany written content and enhance reader engagement.
- Prototyping designs: Quickly visualize design concepts by generating image variations from textual descriptions.
- Creating personalized artwork: Generate images tailored to individual preferences or requests, such as portraits or landscapes.
Key capabilities
- Image generation from text prompts
- Customizable visual styles (details not specified in source)
- Potential for iterative refinement of generated images (details not specified in source)
Example prompts
- "Generate an image of a futuristic cityscape at sunset."
- "Create a portrait of a cat wearing a top hat and monocle."
- "Illustrate a whimsical forest scene with glowing mushrooms."
Tips & gotchas
The quality of the generated images heavily depends on the clarity and detail provided in the prompt. Experimenting with different phrasing and descriptive keywords is recommended to achieve desired results.