Baoyu Image Gen
ListedGenerate unique, stylized images based on text prompts using a distinctive artistic style inspired by classic Chinese literature.
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 jimliu/baoyu-skills --skill baoyu-image-gen -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
jimliu
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 2 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 12 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: api.minimax.io, api.minimaxi.com, api.replicate.com, api.z.ai, apihub.agnes-ai.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
apihub.agnes-ai.comundeclareddashscope.aliyuncs.comundeclaredgenerativelanguage.googleapis.commodel providervisual.volcengineapi.comundeclaredconsole.volcengine.comundeclaredapi.minimaxi.comundeclaredapi.minimax.ioundeclaredplatform.minimaxi.comundeclaredapi.openai.commodel provideropenrouter.aimodel providerapi.replicate.comundeclaredreplicate.comundeclaredark.cn-beijing.volces.comundeclaredapi.z.aiundeclareddocs.z.aiundeclaredWhat it found (3 of 19)
- skills/baoyu-image-gen/scripts/providers/agnes.ts:6contacts apihub.agnes-ai.com
const DEFAULT_BASE_URL = "https://apihub.agnes-ai.com/v1"; - skills/baoyu-image-gen/scripts/providers/dashscope.ts:140contacts dashscope.aliyuncs.com
const base = process.env.DASHSCOPE_BASE_URL || "https://dashscope.aliyuncs.com"; - skills/baoyu-image-gen/scripts/providers/jimeng.test.ts:106contacts visual.volcengineapi.com
"https://visual.volcengineapi.com/?Action=CVSync2AsyncSubmitTask&Version=2022-08-31",
No credential access: failed
Touches credential material in 3 places.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
What it found
- skills/baoyu-image-gen/scripts/main.ts:168environment file outside the project
Env file load order: CLI args > EXTEND.md > process.env > <cwd>/.baoyu-skills/.env > ~/.baoyu-skills/.env`); - skills/baoyu-image-gen/scripts/main.ts:828environment file outside the project
"Create ~/.baoyu-skills/.env or <cwd>/.baoyu-skills/.env with your keys." - skills/baoyu-image-gen/SKILL.md:155instructs the agent to access environment file outside the project(in the instructions, not code)
**Load priority**: CLI args > EXTEND.md > env vars > `<cwd>/.baoyu-skills/.env` > `~/.baoyu-skills/.env`
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 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 jimliu/baoyu-skills at 1567581c26.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 1567581c26
- Manifest
- skills/baoyu-image-gen/SKILL.md
- Scanned
- 49 files, 11,259 lines
About this skill
What it does
The baoyu-image-gen skill enables AI agents to generate high-quality images based on textual descriptions. It leverages advanced machine learning models trained on diverse image datasets, allowing for creative and detailed outputs tailored to user input.
When to use it
- To create visual content for storytelling or concept development.
- For generating mockups in design workflows without needing graphic tools.
- When producing illustrations for educational materials or presentations.
Key capabilities
- Text-to-image generation with high resolution and detail.
- Support for custom prompts and style variations.
- Integration with AI agent platforms for seamless use in workflows.
Example prompts
- "Generate a futuristic cityscape at sunset."
- "Create an image of a cat wearing glasses reading a book."
- "Design a fantasy landscape with floating islands and waterfalls."
Tips & gotchas
- Ensure your prompts are clear and descriptive to get the best results.
- Be mindful of content policies; avoid generating inappropriate or restricted imagery.