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guogang1024

Trend Watcher

by guogang1024 · GitHub ↗ · v1.0.1
cross-platform ✓ Security Clean
7129
Downloads
7
Stars
0
Active Installs
2
Versions
Install in OpenClaw
/install trend-watcher
Description
Monitors GitHub Trending and tech communities to track and analyze emerging tools in CLI, AI/ML, automation, and developer categories.
Usage Guidance
Safe to install for monitoring public GitHub trends. Be aware that bookmarks may persist in a hard-coded local workspace file, and reports can include untrusted public repository descriptions from GitHub.
Capability Analysis
Type: OpenClaw Skill Name: trend-watcher Version: 1.0.1 The skill bundle is benign. The `index.js` script makes legitimate HTTPS requests to `github.com/trending` to fetch repository data, which is the core functionality. It also performs local file I/O (read/write) to `trend-bookmarks.md` within the `/home/vken/.openclaw/workspace` directory for bookmark management, aligning with the stated purpose. No evidence of data exfiltration, malicious execution, persistence, or prompt injection attempts in `SKILL.md` was found. The network and file system access are well-scoped to the skill's advertised features.
Capability Assessment
Purpose & Capability
The implemented code matches the stated trend-monitoring purpose by requesting github.com/trending, parsing repository metadata, filtering by categories, and printing reports; documentation mentions Feishu and daily memory integrations, but the code inspected does not implement those integrations.
Instruction Scope
Repository names and descriptions fetched from GitHub are public external text and may be printed into reports, so users should treat that output as informational rather than instructions to follow.
Install Mechanism
The artifact contains SKILL.md and index.js only, with no package install script, postinstall hook, eval, child process execution, or elevated setup behavior.
Credentials
Network access is limited to GitHub Trending, which is proportionate for a trend-watching tool; the code does not read tokens, environment secrets, auth/session stores, or broad local files.
Persistence & Privilege
Bookmark support reads and writes a fixed local file at /home/vken/.openclaw/workspace/trend-bookmarks.md; this is purpose-aligned but should be understood as persistent local state.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install trend-watcher
  3. After installation, invoke the skill by name or use /trend-watcher
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Version 1.0.1 Changelog - No file changes detected in this release. - All features, usage instructions, and integrations remain unchanged.
v1.0.0
Initial release of Trend Watcher Tool. - Monitors GitHub Trending repositories with filters for language, period, and category. - Identifies emerging patterns and technologies in developer communities. - Allows bookmarking of interesting projects for later review. - Generates various trend reports for self-improvement and tracking. - Integrates with GitHub Trending API, Feishu for documentation, and daily/project bookmark systems.
Metadata
Slug trend-watcher
Version 1.0.1
License
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Trend Watcher?

Monitors GitHub Trending and tech communities to track and analyze emerging tools in CLI, AI/ML, automation, and developer categories. It is an AI Agent Skill for Claude Code / OpenClaw, with 7129 downloads so far.

How do I install Trend Watcher?

Run "/install trend-watcher" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Trend Watcher free?

Yes, Trend Watcher is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Trend Watcher support?

Trend Watcher is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Trend Watcher?

It is built and maintained by guogang1024 (@guogang1024); the current version is v1.0.1.

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