cv-cat

cv-cat / All-IN-ONE

Public

小红书、抖音、微博等平台CLI、SKILLS

40
12
50% credibility
Found May 25, 2026 at 40 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

All-IN-ONE is a unified command-line tool that lets you and AI assistants interact with 小红书 (Xiaohongshu), 微博 (Weibo), and 抖音 (Douyin) platforms for searching, browsing, downloading, commenting, and publishing content across 146 available commands.

How It Works

1
🔍 You discover the tool

You hear about a tool that can help you search, browse, and even post content across three popular social platforms all from one place.

2
📦 You install it in seconds

With one simple command, the tool downloads and sets itself up on your computer, ready to go.

3
🔧 You connect your accounts

You enter your login information for each platform you want to use, and the tool remembers it securely for future visits.

4
🤖 You connect it to your AI assistant

You share the instruction guide with your AI assistant, and suddenly it understands how to use all 146 commands across the three platforms.

5
You choose how to use it
🗣️
Chat with your AI assistant

Tell your assistant what you want: 'Find coffee shop posts on 小红书' or 'Check comments on this video' and watch it work

⌨️
Use the command line directly

Type natural commands like 'search for coffee notes' and get clean results back in seconds

You get results instantly

Whether searching posts, downloading images, checking comments, or publishing new content, everything works smoothly from one unified tool.

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Star Growth

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AI-Generated Review

What is All-IN-ONE?

All-IN-ONE is a Python CLI and Agent Skill system that gives you unified programmatic access to three major Chinese social platforms: 小红书 (Xiaohongshu/XHS), 微博 (Weibo), and 抖音 (Douyin). It wraps 146 commands covering search, content retrieval, user data, comments, and even publishing. The key insight: these platforms have no public APIs, so the project bundles upstream work that reverse-engineers their authentication and request signing. You run `pip install all-in-one-aione`, run `aione setup` to pull in the dependencies, configure your cookies, and then query via command line or hook it into an AI agent via the included Skill definitions.

Why is it gaining traction?

The killer feature is the Skill system for AI agents. Instead of writing scripts yourself, you mount the Skill into Claude Code or similar agents and describe what you want in natural language. The agent reads the Skill documentation, figures out which command to run, and executes it. Beyond that, the multi-profile cookie system lets you maintain separate credentials for different use cases (PC browsing vs. creator posting vs. KOL data). The project also handles the messy bits--proxy support, request timeouts, verbose debugging, and dry-run mode to test commands without hitting the APIs.

Who should use this?

- Developers building automation tools that need data from Chinese social platforms - Marketing teams running cross-platform campaigns programmatically - AI agent developers who want their agents to interact with XHS, Weibo, or Douyin - Researchers scraping content at scale

Verdict

This is a clever solution to a real problem, but it scores only 0.5% on credibility and has just 40 stars--a hobby project, not production software. The cookie-based auth breaks regularly, the upstream repos could change overnight, and you're relying on someone's maintained work that may not last. Use it as a prototyping tool or proof-of-concept, not infrastructure. If you need stability, build your own wrappers or wait until this matures. For now, it's interesting but unproven.

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