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Trend Watcher
by
guogang1024
· GitHub ↗
· v1.0.1
7306
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
Before installing, expect the skill to contact GitHub when run and to keep bookmark data locally if its bookmark helper is used. The documentation should be tightened around the bookmark CLI behavior and storage path, but the observed behavior is coherent with a trend-monitoring and bookmarking utility.
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
Credentials
Outbound network access to GitHub is proportionate to a trend-monitoring tool; no secrets, local auth/session stores, broad filesystem scans, or privileged system resources are requested.
Install Mechanism
The artifact contains a markdown skill file and a JavaScript module, with no package install script, post-install hook, scheduled task, service setup, or remote payload execution.
Instruction Scope
The scope is generally disclosed, but the CLI documentation does not exactly match the code: `--bookmark` is documented as saving to a file, while the implemented `-b/--bookmarks` path lists bookmarks and the save helper is not wired into the CLI.
Persistence & Privilege
The code can persist bookmark data to a fixed local OpenClaw workspace path, which is purpose-aligned but should be understood before use; no cross-session agent rules, hooks, backdoors, or automatic startup persistence were found.
Purpose & Capability
The documented purpose is to monitor GitHub Trending, filter projects, report trends, and manage bookmarks; the code fetches GitHub Trending, analyzes repository metadata, prints reports, and includes local bookmark read/write helpers.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install trend-watcher - After installation, invoke the skill by name or use
/trend-watcher - 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
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 7306 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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