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Github Trending

Listed
wwwzhouhui·vlatest·backend

Discover trending GitHub repositories curated weekly by wwwzhouhui, showcasing popular projects across various technologies.

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 wwwzhouhui/skills_collection --skill github-trending -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

wwwzhouhui

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: qyapi.weixin.qq.com.

    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.

    Hosts contacted

    github.comsource hostapi.github.comsource hostqyapi.weixin.qq.comundeclared

    What it found

    • github-trending/send_wecom_summary.py:11contacts qyapi.weixin.qq.com
      DEFAULT_WEBHOOK = "https://qyapi.weixin.qq.com/cgi-bin/webhook/send?key=45548262-1f73-40a9-a33f-eba95e934082"

  • 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 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 wwwzhouhui/skills_collection at 276b1f1fbd.

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

Commit
276b1f1fbd
Manifest
github-trending/SKILL.md
Scanned
3 files, 287 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

The github-trending skill enables AI agents to retrieve and analyze the latest popular repositories on GitHub, providing real-time insights into current development trends and community interests. It allows agents to fetch trending data across various programming languages and categories to inform decision-making or learning paths.

When to use it

  • Identify emerging technologies by analyzing which new projects are gaining rapid traction in specific domains.
  • Discover open-source tools for a project by finding repositories with high recent activity and star growth.
  • Stay updated on community standards by reviewing top-rated issues and pull requests in trending repositories.
  • Benchmark your own work against current industry leaders to understand feature gaps or design patterns.

Key capabilities

  • Fetches the list of currently trending repositories on GitHub.
  • Filters results by programming language, topic, or time frame.
  • Provides metadata including repository names, descriptions, and star counts.

Example prompts

  • "Find the top 5 trending Python repositories this week and summarize their main features."
  • "What are the most popular JavaScript projects currently trending on GitHub?"
  • "List trending open-source AI libraries and highlight their primary use cases."

Tips & gotchas

Ensure your AI agent has access to live internet data, as this skill relies on real-time GitHub API responses. Results may vary based on the specific time window selected for "trending," so specify a timeframe if precise historical comparison is needed.