Kuaishou Decomposer

What Kuaishou Decomposer does

Three Node.js commands do the work: a keyword search with a most-liked sort for topic research, a creator-profile fetch for competitor monitoring, and a video-comment fetch for sentiment analysis. The README positions it for content creators, brand marketers, data analysts and MCN agencies, with uses such as finding hot topics, comparing engagement rates across a creator's videos, and watching a keyword's newest posts for trends. A single call can return up to 10,000 items, and results are saved under logs, named by time and keyword or link.

It reads only public data and does not need a Kuaishou login. It does need a GUAIKEI_API_TOKEN from the third-party guaikei.com service, set as an environment variable, which is requested from the developer or opened on the site. The README lists Windows, Linux and macOS support, with Node.js 16.14.0 or later recommended, and says no administrator rights are needed. The repository is tagged hermes-skill among many other agent platforms. The README is written in Chinese.

Key features

• Keyword search with a most-liked sort
• Creator post fetching from a profile link
• Video comment fetching for sentiment analysis
• Up to 10,000 items per call, saved to a logs folder
• No Kuaishou login required
• Windows, Linux and macOS support through Node.js

When to use it

• Finding the most-liked videos for a keyword to guide topic choice
• Tracking a competitor account's content and engagement
• Reviewing comments to judge audience sentiment

Who it is for: Kuaishou creators, brand marketers, data analysts and MCN agencies who want an agent to gather public video data.

How it fits with Hermes Agent

Tagged by its author as a Hermes skill alongside OpenClaw and several other agent platforms. The README itself does not mention Hermes.

Requirements: Node.js 16.14.0 or later recommended, and a GUAIKEI_API_TOKEN environment variable from guaikei.com

Note: Needs a GUAIKEI_API_TOKEN from the third-party guaikei.com service, which must be requested from the developer or opened on the site.

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