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Baoyu Comic

Checked
jimliu·vlatest·video-media·MIT

Generates comic panels in the style of Baoyu, offering a fun and creative way to visualize stories or ideas.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add jimliu/baoyu-skills --skill baoyu-comic -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to 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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • 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 undeclared network calls: passed

    Makes no network calls.

    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.

  • 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 jimliu/baoyu-skills at 1567581c26.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
39 files, 4,255 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The baoyu-comic skill enables AI agents to generate or manipulate comic-style visuals, likely inspired by the classic Chinese novel Dream of the Red Chamber (also known as The Story of the Stone). It may include features for creating visual narratives, character illustrations, and scene compositions in a stylized format.

When to use it

  • To create visual storyboards or comic panels based on literary scenes from Dream of the Red Chamber.
  • For generating artistic visuals that blend traditional Chinese aesthetics with modern AI-generated art.
  • When producing educational materials or content that requires illustrative representations of classical literature.

Key capabilities

  • Generation of comic-style imagery inspired by Dream of the Red Chamber
  • Visual narrative creation based on literary scenes
  • Integration of traditional and stylized artistic elements

Example prompts

  • "Generate a comic panel depicting Jia Baoyu meeting Lin Daiyu in the garden."
  • "Create an illustration of a scene from Chapter 10 of Dream of the Red Chamber in a comic style."
  • "Design a visual storyboard for a short animated adaptation of The Story of the Stone."

Tips & gotchas

  • Ensure prompts are specific to get accurate and relevant comic-style outputs.
  • The skill may rely on pre-trained models, so results could vary depending on input clarity and context.