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Xiaohongshu Images

Checked
iamzifei·vlatest·marketing

This skill fetches visually appealing images from Xiaohongshu (RED), ideal for content creators seeking trending aesthetics and inspiration.

Repository

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 iamzifei/xiaohongshu-images-skill --skill xiaohongshu-images -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

iamzifei

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 iamzifei/xiaohongshu-images-skill at 0d4eeba977.

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

Commit
0d4eeba977
Manifest
SKILL.md
Scanned
6 files, 1,777 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

This skill allows AI agents to retrieve images from Xiaohongshu, a popular Chinese social media and e-commerce platform. It can search for specific items or aesthetics based on textual descriptions, providing visual results directly within the agent's workflow. The retrieved images are suitable for inspiration, product research, or content creation purposes.

When to use it

  • Trend Research: Discover current fashion trends or popular products in China by searching for relevant keywords on Xiaohongshu.
  • Product Sourcing: Find examples of specific products (e.g., "vintage leather handbag") and their presentation on the platform.
  • Visual Inspiration: Gather images based on aesthetic descriptions like “cozy autumn cafe” or “minimalist home decor.”
  • Content Creation: Collect reference imagery for creating marketing materials, social media posts, or design projects.

Key capabilities

  • Image retrieval from Xiaohongshu
  • Search by textual description
  • Provides visual results

Example prompts

  • "Find images of 'Korean street food'"
  • "Show me pictures related to 'pastel goth aesthetic'."
  • "Retrieve images of 'handmade ceramic planters.'"

Tips & gotchas

  • The quality and relevance of the retrieved images depend heavily on the specificity and clarity of your search terms. Experiment with different keywords for best results.