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Xiaohongshu Note Analyzer

Checked
softbread·vlatest·productivity

Analyzes Xiaohongshu notes to extract key insights and trends, boosting content strategy & understanding user preferences.

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 softbread/xiaohongshu-doctor --skill xiaohongshu-note-analyzer -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

softbread

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 softbread/xiaohongshu-doctor at 7d67a35ad7.

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

Commit
7d67a35ad7
Manifest
skill_extracted/xiaohongshu-note-analyzer/SKILL.md
Scanned
5 files, 793 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 xiaohongshu-note-analyzer skill is designed to parse and analyze notes from Xiaohongshu, a popular Chinese social media platform. It can extract key information such as user comments, product mentions, sentiment analysis, and trends from Xiaohongshu posts or notes.

When to use it

  • Analyzing customer feedback on product reviews posted on Xiaohongshu.
  • Extracting trending topics or hashtags from Xiaohongshu notes for market research.
  • Monitoring brand mentions and public sentiment in real-time across Xiaohongshu content.

Key capabilities

  • Extraction of text content from Xiaohongshu notes
  • Sentiment analysis of user comments
  • Identification of product names and brands mentioned
  • Trend detection based on note frequency and engagement

Example prompts

  • "Analyze the sentiment of recent Xiaohongshu notes about skincare products."
  • "Extract all mentions of 'Apple' from Xiaohongshu notes in the last month."
  • "Identify trending hashtags from Xiaohongshu notes related to travel."

Tips & gotchas

  • Ensure that Xiaohongshu content is accessible and not behind paywalls or login restrictions.
  • The accuracy of sentiment analysis may vary depending on the language complexity and slang used in Xiaohongshu posts.